{ "metadata": { "name": "", "signature": "sha256:795a8b72b22d2598eb8886e097fe7e85c56f59f29537758dc4b85bfc8666338a" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Final Project at Metis Data Science Bootcamp: Predicting Kiva loan approval" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Goals" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Build a system that predicts whether a loan request will be funded by enough lenders - or not (binary classifier)\n", "* The prediction should include features from the loan descriptions, using LDA (unsupervised => as feature creator; maybe supervised too)\n", "* Evaluate performance of the classifier\n", "* Run a live instance of the classifier behind an API\n", "* Integrate the API with the live Kiva system (how/where remains to be seen: GreaseMonkey?)\n" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Users" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Primary user: Kiva field partners. As we can read in \"[How Kiva Works, The Long Version](http://www.kiva.org/about/how/even-more)\":\n", "\n", "* field partners make pre-disbursements to borrowers *before* a loan has been published!\n", "* the field partners collect stories and photos from the borrowers for review, translation and publication\n", "* lenders *backfill* the loans pre-disbursed by the field partners\n", "* lenders run the risk for loans they support\n", "* Field Partners (supposedly) run the risk for loans that they pre-disburse, but don't get funded by enough supporters\n", "\n", "** The proposed solution is there to give Field Partners an insight into the risk they run, i.e. not finding (enough) lenders to backfill the loan**" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Data preparation (the sequel)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Information on loans were already entered in MongoDB previously. Here we focus on loading the lenders, and the loans_lenders instances." ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Next line commented out because we only want to run this once\n", "#!python src/load_kiva_lenders_to_mongodb.py" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Processing lenders file 1/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 2/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 3/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 4/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 5/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 6/1614 ..." ] }, { "output_type": "stream", "stream": 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{ "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 25/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 26/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 27/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 28/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 29/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 30/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 31/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 32/1614 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Processing lenders file 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split per borrower gender and funding status, over time" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python src/convert_mongodb_loans_to_dataframe.py --dataDir data/predicting_funding \\\n", " --baseName loans \\\n", " --startYear 2006 \\\n", " --endYear 2014" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Creating MongoDB cursor ... done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 50000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 100000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 150000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 200000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 250000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 300000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 350000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 400000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 450000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 500000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 550000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 600000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 650000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 700000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 750000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Setting and sorting the dataframe index ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "done\r\n", "Shape of dataframe: (756968, 7)\r\n", "Writing loans dataframe file data/predicting_funding/loans_dataframe.h5 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ "/usr/local/lib/python2.7/site-packages/pandas/io/pytables.py:2486: PerformanceWarning: \r\n", "your performance may suffer as PyTables will pickle object types that it cannot\r\n", "map directly to c-types [inferred_type->mixed,key->block2_values] [items->['borrower_majority_gender', 'planned_expiration_date', 'location_country_code']]\r\n", "\r\n", " warnings.warn(ws, PerformanceWarning)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "done\r\n" ] } ], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "import pandas as pd\n", "import numpy as np\n", "import sys\n", "import matplotlib.pyplot as plt\n", "from matplotlib.dates import date2num\n", "from pandas.io.pytables import read_hdf\n", "import matplotlib.dates as mdates\n", "\n", "loansDataFrameFile = 'data/predicting_funding/loans_dataframe.h5'\n", "print >> sys.stderr, \"Reading loans dataframe file %s ...\" % loansDataFrameFile,\n", "loansDF = read_hdf(loansDataFrameFile, 'table')\n", "print >> sys.stderr, \"done\"\n", "\n", "#print \"loansDF.shape = \", loansDF.shape\n", "\n", "# Map date to the first day of the quarter\n", "loansDF['posted_quarter'] = loansDF['posted_date'].apply( lambda x: x.replace(hour=0, minute=0, second=0, day=1, month=((x.month / 4)*3)+1 ))\n", "\n", "loansDF['fully_funded'] = loansDF['funded_amount'] >= loansDF['loan_amount']\n", "\n", "#loansDF.head(3)\n", "\n", "\n", "loansDFGroupedByMonthAndGender = loansDF.groupby(['posted_quarter','borrower_majority_gender','fully_funded'])\n", "\n", "XSeries = []\n", "YSeries = {'M': {True: {},\n", " False: {}},\n", " 'F': {True: {},\n", " False: {}},\n", " 'N': {True: {},\n", " False: {}}}\n", "\n", "for k,v in sorted(loansDFGroupedByMonthAndGender.groups.items(), key=lambda x : x[0][0]):\n", " period, gender, isFullyFunded = k\n", " count = len(v)\n", " XSeries.append(period)\n", " YSeries[gender][isFullyFunded][period] = count\n", " \n", "for p in XSeries:\n", " for gender in ['M', 'F', 'N']:\n", " for isFullyFunded in [True, False]:\n", " if not YSeries[gender][isFullyFunded].has_key(p):\n", " YSeries[gender][isFullyFunded][p] = 0\n", "\n", "YSeriesMaleNotFullyFunded = [YSeries['M'][False][p] for p in XSeries]\n", "YSeriesMaleFullyFunded = [YSeries['M'][True][p] for p in XSeries]\n", "\n", "YSeriesFemaleNotFullyFunded = [YSeries['F'][False][p] for p in XSeries]\n", "YSeriesFemaleFullyFunded = [YSeries['F'][True][p] for p in XSeries]\n", "\n", "# Negligeable\n", "#YSeriesNeutralNotFullyFunded = [YSeries['N'][False][p] for p in XSeries]\n", "#YSeriesNeutralFullyFunded = [YSeries['N'][True][p] for p in XSeries]\n", "\n", "width = 20\n", "\n", "fig = plt.figure(40, figsize=(12,12))\n", "ax = fig.add_subplot(111)\n", "ax.bar(date2num(XSeries), YSeriesMaleNotFullyFunded,label=\"male, not fully funded\",width=width,color='lightblue',align='center')\n", "ax.bar(date2num(XSeries), YSeriesMaleFullyFunded,bottom=YSeriesMaleNotFullyFunded,label=\"male, fully funded\",width=width,color='blue',align='center')\n", "\n", "ax.bar(date2num(XSeries)+30, YSeriesFemaleNotFullyFunded,label=\"female, not fully funded\", width=width,color='lightgreen',align='center')\n", "ax.bar(date2num(XSeries)+30, YSeriesFemaleFullyFunded, bottom=YSeriesFemaleNotFullyFunded ,label=\"female, fully funded\", width=width,color='green',align='center')\n", "\n", "ax.xaxis_date()\n", "plt.setp(plt.gca().get_yticklabels(), fontsize=\"25\")\n", "plt.setp(plt.gca().get_xticklabels(), fontsize=\"25\", ha=\"left\")\n", "ax.autoscale(tight=True)\n", "plt.legend(loc=\"best\", fontsize=\"25\")\n", "plt.title('Number of loans per quarter\\nsplit by gender and funding status', fontsize=\"25\", y=1.03)\n", "plt.ylabel('Number of loans', fontsize=\"25\")\n", "ax.yaxis.labelpad = 20\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stderr", "text": [ "Reading loans dataframe file data/predicting_funding/loans_dataframe.h5 ... " ] }, { "output_type": "stream", "stream": "stderr", "text": [ "done\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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+kRVlP0MNFEVRADv1yxhzB3bIHeC0gKi9JGDzOBH5GaV/2KuixakC3nSEmnrL\nF+uNpBeWZYz5LjLQ+dgsxP52jsC++WuM3YPkrcoq4nwWcrBly4wRNSjsQ6yDr2DfOtYZxphC7NLM\nELtOo2605+rX81eqU90j6OzOW40xmwPiBD0L1eVjSt9gV7oOaxBvGlGXaIFuMY3a8in70J37xYhz\nMqUjbnWCa9+r3dfMGFFjhVUl353GmBcoXUCiHWWd90vKS5Wjs+/zJwFxYrXpePKACtqN4/g40wLA\nGLPJGPMA8JC7VFvPnpLgqIGiKPsZzvkzFrvdOehPKhW7f0o0RrvzduCdSqoWRK4719SOwhe6+dll\ncKMhV7uvL0WG+/BWpRpK6fSuqZV0jvczx52vkSi7jYvIodipd+UwxhQAM93Xke7NaSC1sCuzV09B\nddoOO40wiMnuPFxEfhkrIxGJx0+lKnhvlttHW+FMRA4Erq+NjI0xOcB89/VWN1IQmf9plJ1iVht8\n6s6/DQi/nNobxfHaUBeJspO9M45GR16vI2a780Ui0i0yUETaELt9BxLHqMhu32f/FMYcXxrlfi8c\n/tGScs+Vm77r1Wm0Fz/x5AGl7eZY95xE5nME1l+vHDXwP6Q0cNRAUZT9jydE5CUR+T8RCTtWi0i6\niFyDHRUAmBcgnwPcKSKjRCTdybYVkUd9sne7N5A1wRfufE4NzUfejV0151Tvgogchx0ZaYM1iO6P\nIf8a1jG2HXA4VXOO93Mfdo+I9sACr6Mulv7YDmzklCM/dzh92gL/FpFLvfvi0skQkYEi8irW16Im\neQq7tHIKtk7Db/pF5HhKVykK4iHs/W0CLHEr+YQNERFpKSJni8gM7EpOtcG72PoNAbOcQYiIJInI\nmZTuw1Nb3IntgHYH5nmGnog0EpFBWGfhcstP1zBeuzhCRCZ590BEmovITdj7HG1hgGpjjPkA6ygO\n8JSIXOl1XkWkC9aA6Y118K5rHsdOw2uCbd8newEiciz2JUxVR3b6isjnInKjiHR3hpj33J9A6aqB\nPwCf++S+onTU9EqiswY7RUyAqSJyjE/vPtg2HcvwiCcPgDewi0kkY58dr+02FpEB2Oc/6oqPwCgR\necv9XoWNXxFJce3+Nncp6H9IaejU1YYreuihR2IcWOfJEt+Rhx2q919bhnW69ss968KmYTs0Jdg/\nsSyfXDEwLSBfT76yGzX+DNs58dL/Ebu61noiNlaroNzhzeAo3R0635XfCysAzo4jrfE+mUrtHB+Q\n3kBKd3sLsStSAAAgAElEQVT3dtz2dpf/ntLNzgoC5LsDayPuw3ZKd9/2jvkRcl19YYGbzBFjIz/s\nUsf+NuCv0x3YvSQC88DOhf9XhJ7ZWEPYf+3LGPf05CDd46z/q6M8E97Ggj9RuplfuTIQsBFdZeoZ\nOxJX7IuzA2tIe0sc31hRHlXN2xdvepR74On0CKW/G7E2aqzqRo+tsVORvLwLKf1N2osdpYjVBqO2\ngxpq332xz2O09p2NdUD3nrl2lbgv/Shb34XYZXeLIu5B3yiykyP0+c6V4QFfnHMp+5uST+lvSi52\nSmHg8xNPHi7eFRFtNxfY4z6/B/w+WtsFxkaUv4DSTV29Y3Vl6lSPhnXoCIqi7H/cjZ2y8gr2TVsh\ndtrWT8AC7KaDmcau0x8NY4y5GPvH8wn2zXMetpM5xBgzLEiO4NVwAsOM9fs4BfuW9SfsVK/O2HnP\nlX17aYB1QE/gCZdeI3d+HuhpjInHl8SbllVV5/iyShkzBzvH/2Ws03BjrCH2GHaVH2/KRdQ36caY\ntcDPsR3tBS6NdKff19i38CMImCpGxasUxbo/H7m8p2Df9oawHatnne4fxMrDWL+PE4GLsfd4I/aN\ndSOsEfo6cAPWD6EquleIMeZpbIduKbYth7CG4d+xS8B6o3jR8qpM/kF1MBnbEX4D20lrjC37vdid\n1qu01Gw8efsYiq3nTykdrVgBXGiMubGCNGI92xXGMcZkASdgO61rsUZJIdav63RjzMQ48qhqWEW6\nvYdt39OwbdPfvnsB//NFr8xI14fY5/EprL+e98wWYH9X/4Jd3S7aHj/XYRcx+QLbkT8Q+5sYXkjA\nGDMP+8zMc/qGXB5TgV7GmCVe1AD9KszD5TMV++wsxv5OhbD3cCTWCAsa/Z2EXQ3xBZfHTlf+7djR\n0huAY4wxibjYilIHiDG1snqeoigNDBF5FjuF61ljzBX1rE69IiK3AA9gp1EcbGr5h1RE7gFuBxYZ\nY06vzbwURYkfERmBfUnxP2PMofWtj6I0FHQERVEUpRKISBJwrfs6uQ6MkwxK54G/XZt5KYoSPyLS\nBDv9DvTZVJQaRQ0URVGUOHGOrOOxO8fvpHRFr+qme72IjHR7qzRy11JE5BzsdIcMSqdnKIpSR4jI\nYBGZICI9fM77jZzD/GLgCKy/0qP1qaeiNDQa1bcCiqIoiY6IXAA8iHXm9Xw7xhpjttdQFgdj51zf\nB5SISA7QnFIfmx3AIGNMTfgiKIoSP+2xK+XdASAi2djfAG+Z4D3AMOcrpyhKDaEGiqIo8RKPI2xD\nJQ3rlF+IXVjgcWPMU7FFKsV07Eo4J2H3m2iDdS5dj11m+FETvImgoii1xz+xI5j9gIOwy3nvAb4B\nlgCPqHGiKDWPOskriqIoiqIoipIwqA+KoiiKoiiKoigJgxooiqIoiqIoiqIkDGqgKIqiKIqiKIqS\nMKiBoiiKoiiKoihKwqAGiqIoiqIoiqIoCYMaKIqiKIqiKIqiJAxqoCiKoiiKoiiKkjCogaIoiqIo\niqIoSsKgBoqiKIqiKIqiKAmDGiiKoiiKoiiKoiQMaqAoiqIoiqIoipIwqIGiKIqiKIqiKErCoAaK\noiiKoiiKoigJgxooiqIoiqIoiqIkDGqgKIqiKIqiKIqSMKiBoiiKoiiKoihKwqAGiqIoiqIoiqIo\nCYMaKIqiKIqiKIqiJAyN6luBukJERgH3et+NMYHGmYi0B/4E/BroAuwCVgPTjTHPxJHXIU7+DOAA\nIA/4CJhkjHklDvljgJuBTCADyAL+DTxmjFkSh/wpwPVAb6A1sBVYAvzNGPNJBbKmovQVRVEURVEU\npboYYyQooMEfwOFYI6PEHcUx4vYCtnnxgBxgj0/2LaBxDPlzgHyffDZQ5JN/pgJdr/TFL8YaJ3t9\n8mMrkB/ni7vXyRe774XA8ArkjTHGjB071ijxoXUVP1pXlUPrK360riqH1lf8aF3Fj9ZV5dgX6gsw\njPMdrp9YU2mbgP5og5/iJSIhYCqQgh2FiBW3BfBP7KjDGuA4Y0wLIB34A9ZwOBN4JED+YGAW0BR4\nFzjcGNMKaAnc5aINE5HbAuT7ABOBJOBVoLMxpjXQDnjaRRsrIhcGyA8CxrivE4EMJ98FmIsdMZso\nIr1j1YOiKIqiKIqi1BcN3kAB/gj0AZ4DFlQQ91agPVAAnGOM+RjAGFNkjHkSGOviXSUih0aRvwtI\nBTYDvzbGfOPk840x44BJLt6fRaRlFPm/Yu/J58AgY8wmJ59ljLkWmO/i/cUZXmFEJMnJA7xljPm9\nMSbbyW8ELsJOU/PHUxRFURRFUZSEokEbKG5E4x7slK2bgOjz3EoZ4s4vGmO+ixL+GLAT28m/JCKv\nNGCg+/qUMSY3ivx97twc+E2EfDegr/v6oDGmOIb8QcDJEWH9sCMlxhcvjDGmCHjQfe0rIl2jpB8m\nMzMzVrDiQ+sqfrSuKofWV/xoXVUOra/40bqKH62ryqH1FYzYKWANExFZCPQHhhhjnhORcdgpUMYY\nkxQR93DstC6AC40xcwLSnAecDaw0xpzgu34m1j/FAL8yxnwUIP8f4AisEfQ73/WrgaecfHtjzLYo\nsiFgB3bK2f3GmDt8YfcBI4FcoJWJcmNFJAP4yX29xhgzKUqcaKKKoiiKoijKfoaIWO9mj3FQU/1E\nEQl0km+wIygiMgJrnLxjjHkuDpGj3Nlgp0IF4YUdESDvjxNL/sgA+S3RjBMAY0wJpUZUkPyaIAvD\nGLMVO5oUTV5RFEVRFEVR6p0GaaCISCfgAawvydVxinX0fd4YI94md24uIqlR5LONMXvikO8Ycd37\nHivvmpD3wiPlFUVRFEVRFKXeaZAGCnbFq+bAOGPMt3HKNPN9LogRzx/WLMrnWLL+8GYR1+tbXlEU\nRVEURVHqnQZnoIjIpdi9SD4B/lbP6iiKoiiKoiiKUgka1E7ybgf4R7AbFI5wPhvxkuf7nIpdrSsa\n/mldeVE++8NjyedFXK9v+TDjxo0Lf87MzNRVJhRFURRFUZRqsXTpUpYuXRpX3AZloAD3YzdZfBL4\nUkTSI8KTvQ9uWWAB9rgleP2+GwcCawPy6OTOucYY/3QqT76ViKTE8EPx5DdFXN8YER5EkPwmoGc1\n5MP4DRRFURRFURRFqS6RL73Hjx8fGLehTfE62J1/jx0hyI04Rrlw8YV7mxau9oX5V+SKxAv7b8R1\n/8pdR8ch/58A+XYi0jaaoNuMsXuA/BfufETkJo4++XaAl3akvKIoiqIoiqLUOw1tBMW4Iwj/Wssm\n4vw1sAG72eFZwOxywnbU5ST3NXJX+neB3UATJ78qivxBlBoYkfLv+HQ8C7vzfSR9sXugmAD5UVjn\n9xOcPpGc5c7R5KuESEV7XyqKoij7C7qPlqIoNUGD3qgxEhEZC4wlykaNLvwuYDR2pasekbvJi8if\nsNPI9gJHGmO+iQifAVwKbAaOiNxNXkSeBK7BjtwcZIzJiQhfDpwIfAYcZ4zZGxH+JtbI+BY4xL/f\niRs1+R92l/k3jTG/jpBtjDWajgZWGGP6BdRRpTZqdJvsxB1fURRFaZjo/4GiNDx0o8a6oaLX/Q8C\nP2IdyeeJyDEAIpIsItcCd7t4kyKNE8cYIB84AHhDRH7m5NNEZAzWOAGYEGmcOEYCxcAvgBdFpKOT\nb+2Mm7Owox9/irQi3IIAf3JfzxGRJ0SklZPvBLyINU72+uIpiqIoiqIoSkKxv42gjMMaEVFHUFyc\nY4D5QBt3aSd22pY3HW4+cL5zrI8mfzbwMqWrZeVip2WFsMbFNGPMlTF0HA485csvB2jhPhtgvDHm\nrhjy3iiRh1++CLjWGDM1hryOoCiKoiiVRv8PFKXhoSModUOFNWqM+RjoATwMfAUkYR3qVwBXGmPO\nDjJOnPxbwM+BycB67Mph27E+HxfEMk6c/DPA8cDzwA9Y4+hH4FXg1FjGiZMfD5wKzHVyTVw6M4He\nsYwTRVEURVEURalv9qsRFKVidARFURRFqQr6f6AoDQ8dQVEURVEURVEUZb9HDRRFURRFURRFURIG\nNVAURVEURVEURUkY1EBRFEVRFEVRFCVhUANFURRFURRFUZSEQQ0UpU4QkQZz7I+EQiFCoRDLli2r\nb1UaJAUFBdx5550cccQRNG3aNFzfn332WY2kH+v+1ee9XbFiBeeeey4ZGRkkJSURCoX47W9/W+d6\nVJWhQ4cSCoUYNmxYnef97LPPEgqFOPjgg+s8b0VRlNqmUcVRFKVmmLN2U32rUG0Gdu9Y3yrUG/uz\ngRaNuXPn8umnn9KzZ08GDBhQrbQuuugi5s2bB0BqaiodOnQAIDk5udp6esS6f/Vxb1euXEn//v0p\nLi4mFArRtm1bkpKSaN26dZ3qURPU53Ohz6SiKA0RNVAURVGqwNy5c5kxYwZDhw6tloGydu1a5s2b\nh4jw0ksvccEFF9SglonLI488QnFxMSeeeCKvv/46LVu2rG+VFEVRlARBp3gpiqLUI1988QUAbdq0\n2W+MEygt9+DBg9U4URRFUcqgBoqiKEo1qO6OugUFBQCkp6fXhDr7DF6509LS6lkTRVEUJdFQA0VR\nEoDMzExCoRDjx4+nuLiYhx9+mJ49e5Kenk5GRgYDBgzg008/DcfPz89nwoQJHHXUUaSlpdGmTRsG\nDx7MunXroqZvjGHRokVcf/319O7dmwMPPJDk5GTatGlDZmYmTz/9NHv37q1WGebNm8fAgQPp1KkT\nKSkptGrVin79+jFx4kSKioqqlXYQ/noDmDx5MscffzzNmzenWbNmnHDCCcycObPCdF555RV+/etf\n0759e5KTk2nfvj3nnXcec+fOLRd36dKlhEIhZsyYAcD06dPDjuaVcTgfN25cGQfrb7/9tkwa0a5v\n2LAhML2uXbsSCoWYPn16hXlXxMSJEwmFQrRp04Y9e/YExispKQnne9ddd8WVtleW7777DoBhw4aV\nKbdXxngc0GM5ikfKz549m8zMTFq3bk1qaio9e/bk73//e4UG5syZM+nbty/NmjWjRYsWHH/88Uye\nPDmusgKsXr2aq666ikMPPZTU1FTS09P5+c9/zujRo9m+fXtM2ZUrV/Kb3/yGtm3b0rRpUw4//HBG\njx5Nfn5+3PkriqLsi6gPiqIkEEVFRZx55pksXryYlJQUGjduTFZWFm+88QaLFy9m4cKFdOvWjTPO\nOIPPPvuMpk2bIiJkZ2cza9Ysli5dyocffkjnzp3LpPvdd99x+umnA9apNj09nfT0dHbs2MHy5ctZ\nvnw5zz//PPPnz6dJkyaV0nnXrl0MGTKEOXPmhNNv3rw5eXl5rFixghUrVjBjxgzefPPNWpvKU1xc\nzG9+8xtef/11GjduTGpqKrm5uaxcuZKVK1fy9ddfM27cuHJyhYWFDBkyhFmzZgGQlJREixYtyMrK\nYt68ecybN4+LL76Y6dOn06iR/blMSUmhffv25OTksHv3bpo0aVKuXCkpKRXq3KxZMzp06EBBQQG5\nubmEQiHatWsXDo9MM15n6Jpwmr7ssssYOXIkO3bsYPbs2VxyySVR4y1YsIANGzbQqFEjhg8fHlfa\n7du3R0TYsmULJSUltGjRgqZNm4bDk5KSysSPpzwVxfnDH/7Ak08+SVJSEs2bN2fPnj189tln3Hjj\njXz88cc8++yz5WSMMQwfPjwcFgqFaNmyJR999BEffvghS5YsqfA+//Wvf+X222/HGIOIkJqayt69\ne1m9ejWrV69m2rRpzJs3j1/+8pflZKdOncqIESPCsi1atGDDhg3ce++9vPLKK1x11VUV1ouiKMq+\nio6gKEoC8eSTT/L5558ze/Zsdu7cSW5uLu+//z7dunUjPz+f66+/nmHDhpGbm8uCBQvIz88nLy+P\nhQsXkpGRwZYtW7jjjjvKpdu4cWMuvfRS3njjDbZv305OTg5ZWVnk5uYybdo0OnbsyIoVK/jzn/9c\naZ2vuuoq5syZwyGHHMLzzz9PTk4O2dnZ5Ofn89prr9GtWzdWrlzJFVdcURNVFJUnnniC5cuXM336\ndHJzc8nOzmbDhg2cd955AEyYMIFvvvmmnNwdd9zBrFmzCIVCjBkzhu3bt7Nt2za2bt0arscXXniB\nO++8MyzTp08fNm/ezEUXXQRYH4pNmzaVOXr37l2hzrfccgubNm3i0UcfBaBLly5l0nj44YerXS9V\nJS0tjUsuuQRjTMzRAi/s7LPPplOnTnGlvXnzZjZt2sSBBx4IwKOPPlqm3PGmEy+vv/46U6ZM4eGH\nHyY7O5vt27ezdetWrrzySgBmzJjBkiVLysk99thjYePkj3/8I1u2bGHbtm1kZWUxbtw4XnrpJV57\n7bXAfJ955hlGjRpFeno69957L5s3byYvL4+CggJWrVpF//792bx5M+eff365EZGPP/6Yq6++GmMM\np5xyCmvWrCErK4u8vDxeeOEFfvzxx7hHrBRFUfZF1EBRlAQiJyeHuXPn8n//93/hN8nHHntsuCP4\n4YcfsnTpUt555x1OO+00wL497t+/P/fffz8Ar776arnpWp06dWLGjBmce+65Zd7Mp6Wlcfnll4c7\nWpMnT445pSeSFStWMHPmTNq3b8/SpUsZPHhw2JciJSWF8847j2XLlpGWlsbcuXNrbF+PSHbs2MGr\nr77KZZddFn6r3alTJ15++WU6duxISUlJeJTEY+PGjWHjYNSoUYwbN47mzZsDdvRiwoQJ3HzzzQD8\n7W9/48cffywjX13fk5pOp6a59tprAXuPv/rqq3LhP/30E2+88QYiktBv87Ozs5k0aRI33HBDuG22\nbt2aSZMm0atXL8AaoX52794dnjY4ZMgQHn300fDyx82bN2fMmDHhEaZo5OXlceuttyIizJ49m1Gj\nRoVHx0SEY445hvnz59OrVy9++OEHpkyZUkZ+9OjRFBcXc/jhh/Pmm29y2GGHAdCoUSMuuugiXnzx\nxcC8FUVRGgJqoChKAnHiiSdywgknlLt+8sknh/fEuOCCC+jWrVu5OGeeeSZgp1x9/fXXlcq3V69e\nZGRkkJ+fX8bXpSKeeeYZAC655JLAN9+dOnUiMzMTgPnz51dKr3jp27cv/fr1K3c9OTk5XC/eqlEe\nc+bMobi4mKZNmzJq1Kio6Y4ePZrk5GSKioqYPXt2zSuewBx99NH06dMHYwyTJk0qFz5t2jT27t3L\ngQceyDnnnFMPGsZHly5dGDJkSNSw888/HyjfNhYsWEB2djYiwpgxY6LKjho1KnA65Jw5c8jJyaFn\nz57hqZWRJCUlMXjw4HB+Hjt27Ag/J7fddlvUaWRnnHEGffr0iZquoihKQ0ANFEVJIH71q19FvZ6U\nlETbtm0BOO6446LG8fsvRHu7WlhYyMSJEznjjDPo2LEjKSkpZZyTt27dijGGjRs3xq3ve++9B8CU\nKVPo0KFD4LFo0SKAsGN0TXP88ccHhh1wwAEAZGVllbm+atUqwNZn0ApaLVu2DNf3Rx99VBOq7lN4\noygzZswos9CBMSb81n/48OEJvVlg0PMCFbeNzp07R30ZAHYkxRuBicR7Lv773//GfC68aVrffvtt\nWPbjjz8O+530798/UPdYYYqiKPs66iSvKAlEs2bNAsM8J+2gOF44UG7VrC1btnDaaaexevVqwE4z\n8Zy7valkntNyZVYI2rRpEwC5ubnk5eXFjCsi7Nq1K+60K0M89RatToAKfR68cC/+/sSFF17ITTfd\nxLZt23jllVfCfjeLFy9m3bp1NGrUKOzLkajURduIxHsudu/eXeGUycjnwt/OYuVf0746iqIoiYSO\noCjKfsBNN93E6tWradu2LdOmTWPz5s3k5+fz008/hZ2TvbfJlfGJKC4uBuyytMXFxRUeU6dOrZXy\nKbVDSkoKQ4cOBSgzzcvvHN+xY8f6UC2h8Z6LwYMHx/VcBC0PriiKsr+iBoqiNHCKiop45ZVXAHj8\n8ce5/PLLy0wHA9uh2rZtW6XT7tChA1B2isq+glcH33//fcx4P/zwQ5n4dY1/ZGz37t2B8XJycmol\n/6uvvhqAZcuW8b///Y9t27bx6quvIiLhsNrAK3d9lLl9+/YAFU53DAr3jP2qPBde3lDa9iqTt6Io\nSkNADRRFaeBs3bqVPXv2ICL07Nkzapx33323Uqt3eZx44okA/POf/6yWjvWB37ckNzc3apwdO3aU\n8VXxEwrZn8/aXoWrVatW4c9BGzV+9dVXtdZZ/9nPfsZpp51GSUkJkydPDvujdO7cmbPPPrtW8oTS\ncsfanPL999+vlbyPPfZYwBqvQaMbubm5gX5Jffv2Baw/SeTqbxVxzDHHICIYY6Iuf+yxePHiSqWr\nKIqyL6EGiqI0cLylc40xUVfo2rt3b5X2PwHCy8uuXr2aiRMnxoybn59fazvKV4WBAwfSqFEjdu3a\nxV/+8peoce69914KCwtJTk5m4MCBZcK8eq3t5V7T0tI45JBDMMaEN8OM5J577qlVHa655hrA7tzu\nTe+64ooratU53tu8cNWqVVFHEtasWRM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2bClzf7zpXYMGDaJ58+b1pWKF9OjRI3B1NG95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\n7xti9QZnqsO+BmR8EzBJGjtTw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"text": [ "" ] } ], "prompt_number": 30 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Learnings:\n", "\n", "* The number of loans (funded or not) has increased year after year.\n", "* There is seasonality in the number of loans: Q3 > Q2 > Q1 > Q4.\n", "* From 2005 through 2011, all loans got fully funded. As of 2012, this is no longer the case. It is as yet unclear why. One obvious hypothesis has to do with the number of available lenders and/or their budgets not keeping up pace with the growth in offered loans. Another reason might be that the average loan amount has increased.\n", "* Loans requests by women outnumber those by men (by 3 to 1, roughly). What's more: when there is not enough supply of money in the loan market, women also get funded more easily than men." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Loan amount requested, split per borrower gender and funding status, over time" ] }, { "cell_type": "code", "collapsed": false, "input": [ "#print loansDF.head()\n", "\n", "amountXSeries = []\n", "amountYSeries = {'M': {True: {},\n", " False: {}},\n", " 'F': {True: {},\n", " False: {}},\n", " 'N': {True: {},\n", " False: {}}}\n", "\n", "for k,v in sorted(loansDFGroupedByMonthAndGender.groups.items(), key=lambda x : x[0][0]):\n", " period, gender, isFullyFunded = k\n", " row = loansDF.loc[v]\n", " loanAmountSum = sum(row['loan_amount'])\n", "# print \"loanAmountSum = \", loanAmountSum\n", " amountXSeries.append(period)\n", " if amountYSeries[gender][isFullyFunded].has_key(period):\n", "# print \"increasing %s,%s,%s from %d to\" % (gender, isFullyFunded, period, amountYSeries[gender][isFullyFunded][period]),\n", " amountYSeries[gender][isFullyFunded][period] += loanAmountSum\n", "# print \"%d\" % amountYSeries[gender][isFullyFunded][period]\n", " else:\n", " amountYSeries[gender][isFullyFunded][period] = loanAmountSum\n", "# print \"setting %s,%s,%s to %d\" % (gender, isFullyFunded, period, amountYSeries[gender][isFullyFunded][period])\n", " \n", "for p in amountXSeries:\n", " for gender in ['M', 'F', 'N']:\n", " for isFullyFunded in [True, False]:\n", " if not amountYSeries[gender][isFullyFunded].has_key(p):\n", " amountYSeries[gender][isFullyFunded][p] = 0\n", " \n", "#print amountYSeries\n", "\n", "amountYSeriesMaleNotFullyFunded = [amountYSeries['M'][False][p] for p in amountXSeries]\n", "amountYSeriesMaleFullyFunded = [amountYSeries['M'][True][p] for p in amountXSeries]\n", "\n", "amountYSeriesFemaleNotFullyFunded = [amountYSeries['F'][False][p] for p in amountXSeries]\n", "amountYSeriesFemaleFullyFunded = [amountYSeries['F'][True][p] for p in amountXSeries]\n", "\n", "# Negligeable\n", "#amountYSeriesNeutralNotFullyFunded = [amountYSeries['N'][False][p] for p in amountXSeries]\n", "#amountYSeriesNeutralFullyFunded = [amountYSeries['N'][True][p] for p in amountXSeries]\n", "\n", "width = 20\n", "\n", "fig = plt.figure(40, figsize=(12,12))\n", "ax1 = fig.add_subplot(111)\n", "ax1.bar(date2num(amountXSeries), amountYSeriesMaleNotFullyFunded,label=\"male, not fully funded\",width=width,color='lightblue',align='center')\n", "ax1.bar(date2num(amountXSeries), amountYSeriesMaleFullyFunded,bottom=amountYSeriesMaleNotFullyFunded,label=\"male, fully funded\",width=width,color='blue',align='center')\n", "\n", "ax1.bar(date2num(amountXSeries)+30, amountYSeriesFemaleNotFullyFunded,label=\"female, not fully funded\", width=width,color='lightgreen',align='center')\n", "ax1.bar(date2num(amountXSeries)+30, amountYSeriesFemaleFullyFunded, bottom=amountYSeriesFemaleNotFullyFunded ,label=\"female, fully funded\", width=width,color='green',align='center')\n", "\n", "ax1.xaxis_date()\n", "plt.setp(plt.gca().get_yticklabels(), fontsize=\"20\")\n", "plt.setp(plt.gca().get_xticklabels(), fontsize=\"20\", ha=\"left\")\n", "ax.autoscale(tight=True)\n", "plt.legend(loc=\"best\", fontsize=\"20\")\n", "plt.title('Total requested loan amounts per quarter\\nsplit by gender and funding status', fontsize=\"20\", y=1.03)\n", "plt.ylabel('USD', fontsize=\"20\")\n", "ax.yaxis.labelpad = 20\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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QRd4rtn+6LPu373PURaQo54b+ZPiM/3QcxD6yNLPCypcxZiv2yuXfsR2IQ8DM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"text": [ "" ] } ], "prompt_number": 32 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The most notable difference between this graph (loan amounts) and the previous one (number of loans) is a downfall in 2012-2013. This suggests that the average loan amount in these years must have dropped - which is to be confirmed separately." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Evolution of loan characteristics over time" ] }, { "cell_type": "code", "collapsed": false, "input": [ "loanXSeries = {'M': {True: [],\n", " False: []},\n", " 'F': {True: [],\n", " False: []},\n", " 'N': {True: [],\n", " False: []}}\n", "loanYSeries = {'M': {True: {},\n", " False: {}},\n", " 'F': {True: {},\n", " False: {}},\n", " 'N': {True: {},\n", " False: {}}}\n", "\n", "for k,v in sorted(loansDFGroupedByMonthAndGender.groups.items(), key=lambda x : x[0][0]):\n", " period, gender, isFullyFunded = k\n", " row = loansDF.loc[v]\n", " loanAmountAverage = sum(row['loan_amount']) / float(len(row['loan_amount']))\n", " fundedAmountAverage = sum(row['funded_amount']) / float(len(row['funded_amount']))\n", " lenderCountAverage = sum(row['lender_count']) / float(len(row['lender_count']))\n", " loanXSeries[gender][isFullyFunded].append(period)\n", " loanYSeries[gender][isFullyFunded][period] = {'loanAmountAvg': loanAmountAverage,\n", " 'fundedAmountAvg': fundedAmountAverage,\n", " 'lenderCountAvg' : lenderCountAverage}\n", " \n", "loanYSeriesMaleNotFullyFunded = [loanYSeries['M'][False][p]['loanAmountAvg'] for p in loanXSeries['M'][False]]\n", "loanYSeriesMaleFullyFunded = [loanYSeries['M'][True][p]['loanAmountAvg'] for p in loanXSeries['M'][True]]\n", "fundedYSeriesMaleNotFullyFunded = [loanYSeries['M'][False][p]['fundedAmountAvg'] for p in loanXSeries['M'][False]]\n", "lenderCountYSeriesMaleNotFullyFunded = [loanYSeries['M'][False][p]['lenderCountAvg'] for p in loanXSeries['M'][False]]\n", "lenderCountYSeriesMaleFullyFunded = [loanYSeries['M'][True][p]['lenderCountAvg'] for p in loanXSeries['M'][True]]\n", "\n", "loanYSeriesFemaleNotFullyFunded = [loanYSeries['F'][False][p]['loanAmountAvg'] for p in loanXSeries['F'][False]]\n", "loanYSeriesFemaleFullyFunded = [loanYSeries['F'][True][p]['loanAmountAvg'] for p in loanXSeries['F'][True]]\n", "fundedYSeriesFemaleNotFullyFunded = [loanYSeries['F'][False][p]['fundedAmountAvg'] for p in loanXSeries['F'][False]]\n", "lenderCountYSeriesFemaleNotFullyFunded = [loanYSeries['F'][False][p]['lenderCountAvg'] for p in loanXSeries['F'][False]]\n", "lenderCountYSeriesFemaleFullyFunded = [loanYSeries['F'][True][p]['lenderCountAvg'] for p in loanXSeries['F'][True]]\n", "\n", "width = 20\n", "\n", "fig = plt.figure(60, figsize=(12,8))\n", "ax2 = fig.add_subplot(2,1,1)\n", "ax2.plot(date2num(loanXSeries['M'][False]), loanYSeriesMaleNotFullyFunded, '+-', label=\"avg. loan amount, male, not fully funded\", color='blue')\n", "ax2.plot(date2num(loanXSeries['M'][False]), fundedYSeriesMaleNotFullyFunded, '*-', label=\"avg. funded amount, male, not fully funded\", color='blue')\n", "ax2.plot(date2num(loanXSeries['M'][True]), loanYSeriesMaleFullyFunded, 'o-', label=\"avg. loan=funded amount, male, fully funded\", color='blue')\n", "\n", "ax2.plot(date2num(loanXSeries['F'][False]), loanYSeriesFemaleNotFullyFunded, '+-', label=\"avg. loan amount, female, not fully funded\", color='green')\n", "ax2.plot(date2num(loanXSeries['F'][False]), fundedYSeriesFemaleNotFullyFunded, '*-', label=\"avg. funded amount, female, not fully funded\", color='green')\n", "ax2.plot(date2num(loanXSeries['F'][True]), loanYSeriesFemaleFullyFunded, 'o-', label=\"avg. loan=funded amount, female, fully funded\", color='green')\n", "\n", "ax2.xaxis_date()\n", "ax2.autoscale(tight=True)\n", "ax2.set_ylabel('USD')\n", "ax2.legend(loc=\"best\")\n", "ax2.set_title('Loan characteristics per quarter, split by gender and funding status')\n", "\n", "ax3 = fig.add_subplot(2,1,2)\n", "ax3.plot(date2num(loanXSeries['M'][True]), lenderCountYSeriesMaleFullyFunded, 'o-', label=\"male, fully funded\", color='blue')\n", "ax3.plot(date2num(loanXSeries['F'][True]), lenderCountYSeriesFemaleFullyFunded, 'o-', label=\"female, fully funded\", color='green')\n", "ax3.plot(date2num(loanXSeries['M'][False]), lenderCountYSeriesMaleNotFullyFunded, 'x-', label=\"male, not fully funded\", color='blue')\n", "ax3.plot(date2num(loanXSeries['F'][False]), lenderCountYSeriesFemaleNotFullyFunded, 'x-', label=\"female, not fully funded\", color='green')\n", "ax3.set_ylabel(\"Number of lenders per loan\")\n", "\n", "ax3.xaxis_date()\n", "ax3.autoscale(tight=True)\n", "ax3.set_title('Average number of lenders per loan, split by gender and funding status')\n", "\n", "ax3.legend(loc=\"best\")\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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SQbimOqIDcY1Goyk/N+orxSqpl1LqU+A74CnTihXFUQtj3Pw5jCEKXwILrqyFmkpkPMYY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"text": [ "" ] } ], "prompt_number": 50 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Learnings from the first graph:\n", "\n", "* Male borrowers consistently request larger loans that females borrowers.\n", "* The average fully funded amounts for female borrowers have stayed quite flat over the years, including 2012-2013.\n", "* Successful male borrowers, on the contrary, have started asking for more money on average since 2013.\n", "* Non surprisingly, the average amount of non-funded loans is usually a multiple (up to 4x) of the average fully funded loan amount. This being said, there are a few exceptionam quarters in which it is actually *lower*.\n", "* Non-funded loans reach about half of the requested amount, on average.\n", "\n", "And from the second:\n", "\n", "* Succesful male loans carry a bigger amount, so they require more lenders per loan\n", "* The average amount of lenders per loan has increased from around 20 to around 30, between 2006 and mid-2014. After that, it goes down again." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Loan flows: which country loans to whom?" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python src/calculate_country2country_loan_flow.py --inDataDir data/predicting_funding \\\n", " --isoCountryCodesFile data/predicting_funding/iso3166_country_codes.tsv \\\n", " --outDataDir data/predicting_funding \\\n", " --outBaseName kiva \\\n", " --startYear 2012 \\\n", " --endYear 2014 \\\n", " --minValue 5000" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Loading ISO country codes from data/predicting_funding/iso3166_country_codes.tsv ... done\r\n", "Creating MongoDB cursor on lenders collection ... done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 100000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 200000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 300000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 400000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 500000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 600000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 700000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 800000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 900000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 1000000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 1100000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 1200000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 1300000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 1400000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 1500000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 1600000 lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Creating MongoDB cursor on loans_lenders collection ... done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 100000 loan_lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 200000 loan_lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 300000 loan_lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 400000 loan_lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> loaded 500000 loan_lenders ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Number of loans loaded from loans_lenders: 526559\r\n", "Creating MongoDB cursor on loans collection ... done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 10000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 20000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 30000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 40000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 50000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 60000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 70000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 80000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 90000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 100000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 110000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 120000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 130000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 140000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 150000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 160000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 170000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 180000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 190000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 200000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 210000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 220000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 230000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 240000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 250000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 260000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 270000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 280000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 290000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 300000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 310000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 320000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 330000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 340000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 350000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 360000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 370000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 380000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 390000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 400000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ ">>>>>>>>>>>>>>>>>>>>>>> processed 410000 fully funded loans ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "smallestLoanId = 353812\r\n", "largestLoanId = 823023\r\n", "nrLoanIdHits = 419769\r\n", "nrLoanIdMisses = 144\r\n", "nrLenderIdsHits = 418610\r\n", "nrLenderIdsMisses = 1159\r\n", "nrLenderIdHits = 9409344\r\n", "nrLenderIdMisses = 383308\r\n", "nrCountryHits = 7849493\r\n", "nrCountryMisses = 1559851\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "8 lendingRegionCodes: ['oth', 'na', 'unk', 'eu', 'oc', 'as', 'sa', 'af']\r\n", "7 borrowingRegionCodes: ['oth', 'as', 'af', 'sa', 'na', 'eu', 'oc']\r\n", "74 lendingCountries: ['oth', u'bs', u'ca', u'cr', u'gt', u'mx', u'ni', u'pr', u'sv', u'us', 'unk', u'at', u'be', u'ch', u'cz', u'de', u'dk', u'es', u'fi', u'fr', u'gb', u'gr', u'hr', u'hu', u'ie', u'is', u'it', u'lu', u'mc', u'nl', u'no', u'pl', u'pt', u'ro', u'se', u'sk', u'tr', u'au', u'nz', u'ae', u'am', u'cn', u'hk', u'id', u'il', u'in', u'ir', u'jp', u'kg', u'kh', u'kr', u'kw', u'my', u'om', u'ph', u'pk', u'qa', u'sa', u'sg', u'th', u'tw', u'vn', u'vu', u'ye', u'ar', u'br', u'cl', u'co', u'ec', u'pe', u'py', u'ke', u'tz', u'za']\r\n", "78 borrowingCountries: ['oth', u'am', u'az', u'cn', u'ge', u'id', u'il', u'in', u'iq', u'jo', u'kg', u'kh', u'la', u'lb', u'mm', u'mn', u'np', u'ph', u'pk', u'ps', u'th', u'tj', u'tl', u'vn', u'ye', u'bf', u'bi', u'bj', u'cd', u'cg', u'ci', u'cm', u'eg', u'gh', u'ke', u'lr', u'ml', u'mr', u'mw', u'mz', u'ng', u'qs', u'rw', u'sl', u'sn', u'so', u'tg', u'tz', u'ug', u'za', u'zm', u'zw', u'bo', u'br', u'cl', u'co', u'ec', u'pe', u'py', u'sr', u'bz', u'cr', u'do', u'gt', u'hn', u'ht', u'mx', u'ni', u'pa', u'sv', u'us', u'al', u'md', u'tr', u'ua', u'xk', u'pg', u'ws']\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Saving result in data/predicting_funding/kiva_country2country_loan_flows.json ... done\r\n" ] } ], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "!cp data/predicting_funding/kiva_country2country_loan_flows.json d3/data.json" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "%%HTML\n", "" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 33 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "To what extent do the non-funded loan requests miss their target?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before we build a data set for our classifier, we want to know to what extent the non-funded loans are complete, partial or near misses." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "import pandas as pd\n", "import numpy as np\n", "import sys\n", "import matplotlib.pyplot as plt\n", "from matplotlib.dates import date2num\n", "from pandas.io.pytables import read_hdf\n", "\n", "loansDataFrameFile = 'data/predicting_funding/loans_dataframe.h5'\n", "print >> sys.stderr, \"Reading loans dataframe file %s ...\" % loansDataFrameFile,\n", "loansDF = read_hdf(loansDataFrameFile, 'table')\n", "print >> sys.stderr, \"done\"\n", "\n", "# We're only interested in loans from the period 2012-2014 that were not fully funded\n", "loansDF['funding_ratio'] = loansDF['funded_amount'] / loansDF['loan_amount']\n", "\n", "nonFundedLoansDF = loansDF[loansDF['funding_ratio'] < 1.0]\n", "\n", "#nonFundedLoansDF.head(3)\n", "\n", "fundingRatioSeries = nonFundedLoansDF['funding_ratio'].values\n", "\n", "print \"number of not-fully funded loans in 2012-2014 period:\", len(fundingRatioSeries)\n", "\n", "plt.title(\"Distribution of funding ratio\\nfor not-fully funded loans applications\")\n", "for nrBins in [2,3,4,5,10,20,100]:\n", " plt.hist(fundingRatioSeries, nrBins, label=\"%d bins\" % nrBins)\n", "plt.legend()\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stderr", "text": [ "Reading loans dataframe file data/predicting_funding/loans_dataframe.h5 ... " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "number of not-fully funded loans in 2012-2014 period: 26413\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "done\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 75 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Even though at small granularity (100 bins) there is a peak of zero-funded loans applications, more than half of the not fully funded loans did manage to collect more than 50% of the requested loan sum. Apart from the 0-10% mode, there is another one in the region of 0.6. If we include the mode of all fully funded loan applications (not shown here), our data set may actually be fundamentally **trimodal**. We could express naturally express this as three possible answers to the funding question: \"yes\", \"no\" and \"maybe\"." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's control this trimodality for gender:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "nonFundedLoansFemaleDF = loansDF[(loansDF['funding_ratio'] < 1.0) & (loansDF['borrower_majority_gender'] == 'F')]\n", "nonFundedLoansMaleDF = loansDF[(loansDF['funding_ratio'] < 1.0) & (loansDF['borrower_majority_gender'] == 'M')]\n", "\n", "FemaleFundingRatioSeries = nonFundedLoansFemaleDF['funding_ratio'].values\n", "MaleFundingRatioSeries = nonFundedLoansMaleDF['funding_ratio'].values\n", "\n", "print \"number of not-fully funded female loans in 2012-2014 period:\", len(FemaleFundingRatioSeries)\n", "print \"number of not-fully funded male loans in 2012-2014 period:\", len(MaleFundingRatioSeries)\n", "\n", "plt.title(\"Distribution of funding ratio\\nfor not-fully funded loans applications by FEMALES\")\n", "for nrBins in [2,3,4,5,10,20,100]:\n", " plt.hist(FemaleFundingRatioSeries, nrBins, label=\"%d bins\" % nrBins)\n", "plt.legend()\n", "plt.show()\n", "\n", "plt.title(\"Distribution of funding ratio\\nfor not-fully funded loans applications by MALES\")\n", "for nrBins in [2,3,4,5,10,20,100]:\n", " plt.hist(MaleFundingRatioSeries, nrBins, label=\"%d bins\" % nrBins)\n", "plt.legend()\n", "plt.show()\n", "\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "number of not-fully funded female loans in 2012-2014 period: 11964\n", "number of not-fully funded male loans in 2012-2014 period: 14369\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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9QPCo3FxVi/z7IqC5f98K2ByYbjPuSiB8eKEfbowxCfXII4/wr3/9iy1btnDr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\n3Jl/oX8fHF4YaX0Lj75RdkB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"text": [ "" ] } ], "prompt_number": 76 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The trimodal structure holds for both female and male loan applications, but the existence of the zero mode (= flat refusal) is more outspoken for female than for male borrowers." ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Supervised topic model for predicting loan grants" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Data preparation: Blei corpus, now with labels" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Key assumptions when building the data set:\n", "\n", "* We only use loan records from 2012 through 2014\n", "* We only use loan records that have an English description\n", "* We only use loan records that have a non-neutral \"gender majority\"\n", "\n", "There are **two** classification labels, directly calculated from the funding ratio F:\n", "\n", "| Label | Range | Fund loan? |\n", "| ------ |---------------- | ----------- |\n", "| 0 | 0.00 <= F < 1.0 | No |\n", "| 1 | 1.00 <= F | Yes |" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python src/convert_mongodb_to_blei_ldac.py --dataDir data/predicting_funding\\\n", " --corpusBaseName kiva \\\n", " --stopwordFile=data/predicting_funding/kiva_stopwords.tsv \\\n", " --startYear 2012 \\\n", " --endYear 2014 \\\n", " --maxNrDocs 1000000 \\\n", " --filterBelow 10 \\\n", " --filterAbove 0.5 \\\n", " --filterKeepN 1000 \\\n", " --classificationField funding_ratio \\\n", " --classLabelFileName kiva-labels-with-loan-ids.dat" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Creating MongoDB cursor ... done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Number of loans in 'en' between 2012 and 2014: 409530\r\n", "First pass: streaming from MongoDB ...\r\n", "creating the dictionary ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ 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"output_type": "stream", "stream": "stdout", "text": [ "read 380000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 385000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 390000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 395000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 400000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "read 405000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "filtering the dictionary ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "wrote data/predicting_funding/kiva_dict.bin ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " and data/predicting_funding/kiva_dict.txt ... done\r\n", "Second pass: streaming from MongoDB ... saving into data/predicting_funding/kiva.lda-c (Blei corpus format) ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Number of documents converted: 409530\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Vocabulary size: 1000\r\n" ] } ], "prompt_number": 56 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Preparation of training and test sets" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python src/prepare_sdla_train_test_sets.py --bleiCorpusFile data/predicting_funding/kiva.lda-c \\\n", " --bleiLabelFile data/predicting_funding/kiva-labels-with-loan-ids.dat \\\n", " --bleiTrainCorpusFile data/predicting_funding/slda_in/kiva-train-data.dat \\\n", " --bleiTrainLabelFile data/predicting_funding/slda_in/kiva-train-label.dat \\\n", " --bleiTrainIdFile data/predicting_funding/slda_in/kiva-train-loan-ids.dat \\\n", " --bleiTestCorpusFile data/predicting_funding/slda_in/kiva-test-data.dat \\\n", " --bleiTestLabelFile data/predicting_funding/slda_in/kiva-test-label.dat \\\n", " --bleiTestIdFile data/predicting_funding/slda_in/kiva-test-loan-ids.dat \\\n", " --test_size 4000 \\\n", " --train_size 36000" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Reading original labels from data/predicting_funding/kiva-labels-with-loan-ids.dat ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "number of original instances in class 0: 20130\r\n", "number of original instances in class 1: 387467\r\n", "trainSizePerClass = 18000\r\n", "testSizePerClass = 2000\r\n", "number of indices of class 0 into training set: 18000 \r\n", "number of indices of class 0 into test set: 2000 \r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "number of indices of class 1 into training set: 18000 \r\n", "number of indices of class 1 into test set: 2000 \r\n" ] } ], "prompt_number": 66 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Supervised LDA Training" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!/Users/frederik/install/slda-master/slda est \\\n", " data/predicting_funding/slda_in/kiva-train-data.dat \\\n", " data/predicting_funding/slda_in/kiva-train-label.dat \\\n", " data/predicting_funding/slda_settings.txt 1.0 20 \\\n", " seeded \\\n", " data/predicting_funding/slda_out" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "reading data from data/predicting_funding/slda_in/kiva-train-data.dat\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "number of docs : 36000\r\n", "number of terms : 1000\r\n", "number of total words : 1586372\r\n", "\r\n", "reading labels from data/predicting_funding/slda_in/kiva-train-label.dat\r\n", "number of classes : 2\r\n", "\r\n", "alpha is fixed ...\r\n", "var max iter 20\r\n", "var convergence 1.00E-03\r\n", "em max iter 50\r\n", "em 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document 33000\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "final e step document 34000\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "final e step document 35000\r\n" ] } ], "prompt_number": 67 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Supervised LDA evaluation on the test set" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!/Users/frederik/install/slda-master/slda inf \\\n", " data/predicting_funding/slda_in/kiva-test-data.dat \\\n", " data/predicting_funding/slda_in/kiva-test-label.dat \\\n", " data/predicting_funding/slda_settings.txt \\\n", " data/predicting_funding/slda_out/final.model \\\n", " data/predicting_funding/slda_out" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\r\n", "reading data from data/predicting_funding/slda_in/kiva-test-data.dat\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "number of docs : 4000\r\n", "number of terms : 1000\r\n", "number of total words : 175601\r\n", "\r\n", "reading labels from data/predicting_funding/slda_in/kiva-test-label.dat\r\n", "number of classes : 2\r\n", "\r\n", "alpha is fixed ...\r\n", "var max iter 20\r\n", "var convergence 1.00E-03\r\n", "em max iter 50\r\n", "em convergence 1.00E-04\r\n", "L2 penalty 1.00E-02\r\n", "\r\n", "results will be saved in data/predicting_funding/slda_out\r\n", "document 0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "document 1000\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "document 2000\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "document 3000\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "average accuracy: 0.686\r\n" ] } ], "prompt_number": 68 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "More detailed evaluation measures" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python src/evaluate_sdla.py --predictedFile data/predicting_funding/slda_out/inf-labels.dat \\\n", " --expectedFile data/predicting_funding/slda_in/kiva-test-label.dat \\\n", " --average weighted" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Reading predicted classes from data/predicting_funding/slda_out/inf-labels.dat ... done\r\n", "Reading expected classes from data/predicting_funding/slda_in/kiva-test-label.dat ... done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(0.70696378830083562, 0.63449999999999995, 0.66877470355731217, None)\r\n" ] } ], "prompt_number": 69 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Print out the topics" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python src/print_topics.py --vocabFile data/predicting_funding/kiva.lda-c.vocab \\\n", " --sldaModelFile data/predicting_funding/slda_out/final.model.text" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Loading vocabulary from data/predicting_funding/kiva.lda-c.vocab ... done\r\n", "ETA TOPIC\r\n", "-4.56 : [ income earn farming rice living hopes main per day two ]\r\n", "-2.89 : [ school food water sugar selling married oil six four rice ]\r\n", "-2.87 : [ store php additional future nwtf requested general save earns philippines ]\r\n", "-2.61 : [ city time works day making located well says bank work ]\r\n", "-2.42 : [ community meet every help household week expenses clients daily fellowship ]\r\n", "-1.70 : [ needs sell market support financial provide opportunity price higher however ]\r\n", "-1.25 : [ use five married hopes goal future profits plans previous kes ]\r\n", "-0.82 : [ women members sells profit drinks grocery various made cosmetics live ]\r\n", "-0.69 : [ school mother education pay father young year single parents daughter ]\r\n", "+0.55 : [ husband woman like married man would money family hardworking purchase ]\r\n", "+0.70 : [ one group fund farmers season also harvest farmer year savings ]\r\n", "+0.95 : [ milk cattle also livestock farm raising two purchase pigs cows ]\r\n", "+1.15 : [ able work support thanks help continue service lenders little due ]\r\n", "+1.16 : [ improve living since requesting old partner services married experience car ]\r\n", "+1.18 : [ small help used town expand requested large hopes brac lives ]\r\n", "+1.81 : [ better work life corn supplies give crops land worked basic ]\r\n", "+1.83 : [ family income new conditions local start cover purchase credit lives ]\r\n", "+2.11 : [ products customers store good many quality sales life offer household ]\r\n", "+2.71 : [ selling increase shop capital clothing started sells clothes ago working ]\r\n", "+2.97 : [ house home lives old son wife vegetables materials live requesting ]\r\n" ] } ], "prompt_number": 70 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Bring in other loan features, train a classifier, and evaluate (=> proof of concept)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python src/loan_funding_predictor_poc.py --trainSldaGammaFile data/predicting_funding/slda_out/final.gamma \\\n", " --trainLabelFile data/predicting_funding/slda_in/kiva-train-label.dat \\\n", " --trainIdFile data/predicting_funding/slda_in/kiva-train-loan-ids.dat \\\n", " --testSldaGammaFile data/predicting_funding/slda_out/inf-gamma.dat \\\n", " --testLabelFile data/predicting_funding/slda_out/inf-labels.dat \\\n", " --testIdFile data/predicting_funding/slda_in/kiva-test-loan-ids.dat \\\n", " --feat \"slda\" \\\n", " --feat \"borrower_majority_gender\" \\\n", " --feat \"loan_amount\" \\\n", " --feat \"has_image\" \\\n", " --feat \"posted_day_of_month\" \\\n", " --feat \"posted_month\" \\\n", " --feat \"geo_lat\" \\\n", " --feat \"geo_lon\" \\\n", " --feat \"repayment_term\" \\\n", " --feat \"nr_borrowers\" \\\n", " --feat \"bonus_credit_eligibility\" \\\n", " --feat \"translated\" \\\n", " --feat \"partner_rating\" \\\n", " --feat \"partner_delinquency_rate\" \\\n", " --feat \"partner_loans_posted\" \\\n", " --feat \"partner_total_amount_raised\" \\\n", " --feat \"en_description_length\" \\\n", " --feat \"constant\" \\" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Retrieving Kiva partner list from http://api.kivaws.org/v1/partners.json ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " parsing it ... done\r\n", "{u'average_loan_size_percent_per_capita_income': 13.3,\r\n", " u'charges_fees_and_interest': True,\r\n", " u'countries': [{u'iso_code': u'JO',\r\n", " u'location': {u'geo': {u'level': u'country',\r\n", " u'pairs': u'31 36',\r\n", " u'type': u'point'}},\r\n", " u'name': u'Jordan',\r\n", " u'region': u'Middle East'}],\r\n", " u'currency_exchange_loss_rate': 0,\r\n", " u'default_rate': 0.70201247428837,\r\n", " u'default_rate_note': u'',\r\n", " u'delinquency_rate': 0.53427779934297,\r\n", " u'delinquency_rate_note': u'',\r\n", " u'id': 185,\r\n", " u'image': {u'id': 790950, u'template_id': 1},\r\n", " u'loans_at_risk_rate': 2.8314480394342,\r\n", " u'loans_posted': 4355,\r\n", " u'name': u'National Microfinance Bank',\r\n", " u'portfolio_yield': 38,\r\n", " u'portfolio_yield_note': u'',\r\n", " u'profitability': 11,\r\n", " u'rating': u'3.5',\r\n", " u'social_performance_strengths': [{u'description': u'The work of most microfinance institutions helps to combat poverty, but these Field Partners do even more.',\r\n", " u'id': 1,\r\n", " u'name': u'Anti-Poverty Focus'},\r\n", " {u'description': u'These Field Partners embrace technology and innovation to better address the needs of the people they serve.',\r\n", " u'id': 7,\r\n", " u'name': u'Innovation'}],\r\n", " u'start_date': u'2011-03-30T22:00:05Z',\r\n", " u'status': u'active',\r\n", " u'total_amount_raised': 4596300,\r\n", " u'url': u'http://www.nmb.com.jo'}\r\n", "Reading sLDA gamma values from data/predicting_funding/slda_out/final.gamma ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Reading loan IDs from data/predicting_funding/slda_in/kiva-train-loan-ids.dat ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Creating MongoDB cursor to collect 36000 loan instances by ID ... done\r\n", "Storing loan documents in an associative list ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Reading labels from data/predicting_funding/slda_in/kiva-train-label.dat ... done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Reading sLDA gamma values from data/predicting_funding/slda_out/inf-gamma.dat ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Reading loan IDs from data/predicting_funding/slda_in/kiva-test-loan-ids.dat ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Creating MongoDB cursor to collect 4000 loan instances by ID ... done\r\n", "Storing loan documents in an associative list ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Reading labels from data/predicting_funding/slda_out/inf-labels.dat ... done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(1/10) Building logres model for C value 1.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(2/10) Building logres model for C value 10.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(3/10) Building logres model for C value 100.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(4/10) Building logres model for C value 1000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(5/10) Building logres model for C value 10000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(6/10) Building logres model for C value 100000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(7/10) Building logres model for C value 1000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(8/10) Building logres model for C value 10000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(9/10) Building logres model for C value 100000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(10/10) Building logres model for C value 1000000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "scoreList = [(0.88479630730623371, 0.0048239057208544428), (0.8847947570138327, 0.0048241677073719283), (0.88479473208185144, 0.0048247744944466412), (0.88479483209083243, 0.0048250525723827582), (0.88479490708829867, 0.0048250350114758551), (0.88479493208835491, 0.0048250425021032816), (0.88479493208835491, 0.0048250425021032816), (0.88479493208835491, 0.0048250425021032816), (0.88479493208835491, 0.0048250425021032816), (0.88479493208835491, 0.0048250425021032816)]\r\n", "best logres model has:\r\n", "roc_auc score: 88.48% (+/- 0.48%)\r\n", "C value: 1\r\n", "log10(C) value: 0.0\r\n" ] } ], "prompt_number": 71 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Completely new object-oriented version of loan_funding_predictor.py" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This version allows to save the final logres model on disk, so it can be used in real time by a Kiva Loan Funding predictor running as a web service. Another major requirement was to isolate the (quite hefty) data preprocessing / feature generation in separate modules, so it can be applied to unseen instances on the fly." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!python src/loan_funding_predictor.py --startYear 2012 \\\n", " --endYear 2014 \\\n", " --logResModelFile data/predicting_funding/logres_out/kivaLoanFundingPredictor.pkl" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Creating MongoDB cursor to collect instances from 2012 through 2014 ... done\r\n", "Storing loan documents in KivaLoans instance ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 10000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 20000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 30000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 40000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 50000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 60000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 70000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 80000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 90000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 100000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 110000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 120000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 130000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 140000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 150000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 160000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 170000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 180000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 190000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 200000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 210000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 220000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 230000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 240000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 250000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 260000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 270000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 280000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 290000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 300000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 310000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 320000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 330000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 340000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 350000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 360000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 370000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 380000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 390000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 400000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 410000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 420000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 430000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ " read 440000 documents ...\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "done\r\n", "Getting ground truth labels ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "number of 0s (not fully funded) = " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 21212\r\n", "number of 1s (fully funded) = " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " 419913\r\n", "Setting up sLDA feature generator ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Getting all features at once ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Building training DataFrame ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "columns = ['Baseline', 'BonusCreditEligibility', 'GeoLatitude', 'GeoLongitude', 'HasImage', 'HasTranslator', 'Log10EnglishDescriptionLength', 'Log10LoanAmount', 'Log10NumberOfBorrowers', 'MajorityGender', 'PostedMonthApr', 'PostedMonthAug', 'PostedMonthDec', 'PostedMonthFeb', 'PostedMonthJan', 'PostedMonthJul', 'PostedMonthJun', 'PostedMonthMar', 'PostedMonthMay', 'PostedMonthNov', 'PostedMonthOct', 'PostedMonthSep', 'RepaymentTerm', 'topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19', 'DelinquencyRate', 'LoansPosted', 'Rating', 'TotalAmountRaised']\r\n", "trainDF.head(3) = " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " Baseline BonusCreditEligibility GeoLatitude GeoLongitude HasImage \\\r\n", "377304 1 0 8.500000 -11.500000 1 \r\n", "377251 1 1 15.500000 47.500000 1 \r\n", "361766 1 1 13.833333 -88.916667 1 \r\n", "\r\n", " HasTranslator Log10EnglishDescriptionLength Log10LoanAmount \\\r\n", "377304 1 2.033424 2.977724 \r\n", "377251 1 2.354108 3.138303 \r\n", "361766 1 2.431364 2.698970 \r\n", "\r\n", " Log10NumberOfBorrowers MajorityGender ... topic_14 \\\r\n", "377304 0 0 ... 2.094038 \r\n", "377251 0 1 ... 7.586307 \r\n", "361766 0 1 ... 2.619955 \r\n", "\r\n", " topic_15 topic_16 topic_17 topic_18 topic_19 DelinquencyRate \\\r", "\r\n", "377304 4.643855 1.040619 1.046571 3.371768 2.226809 17.891291 \r\n", "377251 3.346344 11.254259 1.242014 3.563978 5.165154 0.246900 \r\n", "361766 2.244133 9.694625 22.782238 5.915603 1.877627 3.917693 \r\n", "\r\n", " LoansPosted Rating TotalAmountRaised \r\n", "377304 3531 2.0 2886600 \r\n", "377251 3551 3.5 2901950 \r\n", "361766 7162 3.5 4998150 \r\n", "\r\n", "[3 rows x 47 columns]\r\n", "Feeding data to the predictor ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ "/usr/local/lib/python2.7/site-packages/sklearn/utils/validation.py:332: UserWarning: StandardScaler assumes floating point values as input, got object\r\n", " \"got %s\" % (estimator, X.dtype))\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "done\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(1/20) Building logres model for C value 0.000000000100000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(2/20) Building logres model for C value 0.000000001000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(3/20) Building logres model for C value 0.000000010000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(4/20) Building logres model for C value 0.000000100000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(5/20) Building logres model for C value 0.000001000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(6/20) Building logres model for C value 0.000010000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(7/20) Building logres model for C value 0.000100000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(8/20) Building logres model for C value 0.001000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(9/20) Building logres model for C value 0.010000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(10/20) Building logres model for C value 0.100000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(11/20) Building logres model for C value 1.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(12/20) Building logres model for C value 10.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(13/20) Building logres model for C value 100.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(14/20) Building logres model for C value 1000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(15/20) Building logres model for C value 10000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(16/20) Building logres model for C value 100000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(17/20) Building logres model for C value 1000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(18/20) Building logres model for C value 10000000.000000000000000 ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(19/20) Building logres model for C value 100000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(20/20) Building logres 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done\r\n", "(17/20) Building logres model for C value 1000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(18/20) Building logres model for C value 10000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(19/20) Building logres model for C value 100000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(20/20) Building logres model for C value 1000000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "best logres model has:\r\n", "roc_auc score: 76.50% (+/- 0.27%)\r\n", "C value: 1e-09\r\n", "log10(C) value: -9.0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "config [['Baseline'], ['Log10LoanAmount']] : (0.76497708058841862, 0.0026845918868675426)\r\n", "BETTER RESULT!\r\n" ] }, { "output_type": "stream", 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"stream": "stdout", "text": [ " done\r\n", "(20/20) Building logres model for C value 1000000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "best logres model has:\r\n", "roc_auc score: 80.72% (+/- 0.29%)\r\n", "C value: 10\r\n", "log10(C) value: 1.0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "config [['Baseline'], ['Log10LoanAmount'], ['topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19']] : (0.80724149857527971, 0.0029114021612315125)\r\n", "BETTER RESULT!\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(1/20) Building logres model for C value 0.000000000100000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(2/20) Building logres model for C 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"best logres model has:\r\n", "roc_auc score: 83.55% (+/- 0.38%)\r\n", "C value: 0.01\r\n", "log10(C) value: -2.0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "config [['Baseline'], ['Log10LoanAmount'], ['topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19'], ['PostedMonthJan', 'PostedMonthFeb', 'PostedMonthMar', 'PostedMonthApr', 'PostedMonthMay', 'PostedMonthJun', 'PostedMonthJul', 'PostedMonthAug', 'PostedMonthSep', 'PostedMonthOct', 'PostedMonthNov', 'PostedMonthDec']] : (0.83551111862577054, 0.0038379630008923155)\r\n", "BETTER RESULT!\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(1/20) Building logres model for C value 0.000000000100000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(2/20) Building logres 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[ " done\r\n", "(15/20) Building logres model for C value 10000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(16/20) Building logres model for C value 100000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(17/20) Building logres model for C value 1000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(18/20) Building logres model for C value 10000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(19/20) Building logres model for C value 100000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(20/20) Building logres model for C value 1000000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "best logres model has:\r\n", "roc_auc score: 85.99% (+/- 0.24%)\r\n", "C value: 0.01\r\n", "log10(C) value: -2.0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "config [['Baseline'], ['Log10LoanAmount'], ['topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19'], ['PostedMonthJan', 'PostedMonthFeb', 'PostedMonthMar', 'PostedMonthApr', 'PostedMonthMay', 'PostedMonthJun', 'PostedMonthJul', 'PostedMonthAug', 'PostedMonthSep', 'PostedMonthOct', 'PostedMonthNov', 'PostedMonthDec'], ['MajorityGender']] : (0.8598600212264278, 0.0023718889092303025)\r\n", "BETTER RESULT!\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(1/20) Building logres model for C value 0.000000000100000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", 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"text": [ " done\r\n", "best logres model has:\r\n", "roc_auc score: 87.13% (+/- 0.22%)\r\n", "C value: 100\r\n", "log10(C) value: 2.0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "config [['Baseline'], ['Log10LoanAmount'], ['topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19'], ['PostedMonthJan', 'PostedMonthFeb', 'PostedMonthMar', 'PostedMonthApr', 'PostedMonthMay', 'PostedMonthJun', 'PostedMonthJul', 'PostedMonthAug', 'PostedMonthSep', 'PostedMonthOct', 'PostedMonthNov', 'PostedMonthDec'], ['MajorityGender'], ['Log10NumberOfBorrowers']] : (0.87129700209852068, 0.0021549010302392125)\r\n", "BETTER RESULT!\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(1/20) Building logres model for C value 0.000000000100000 ... applying it ..." ] }, { "output_type": 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... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(15/20) Building logres model for C value 10000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(16/20) Building logres model for C value 100000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(17/20) Building logres model for C value 1000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(18/20) Building logres model for C value 10000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(19/20) Building logres model for C value 100000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(20/20) Building logres model for C value 1000000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "best logres model has:\r\n", "roc_auc score: 87.42% (+/- 0.20%)\r\n", "C value: 100\r\n", "log10(C) value: 2.0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "config [['Baseline'], ['Log10LoanAmount'], ['topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19'], ['PostedMonthJan', 'PostedMonthFeb', 'PostedMonthMar', 'PostedMonthApr', 'PostedMonthMay', 'PostedMonthJun', 'PostedMonthJul', 'PostedMonthAug', 'PostedMonthSep', 'PostedMonthOct', 'PostedMonthNov', 'PostedMonthDec'], ['MajorityGender'], ['Log10NumberOfBorrowers'], ['LoansPosted', 'TotalAmountRaised']] : (0.87416503723221817, 0.0020017434076329624)\r\n", "BETTER RESULT!\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(1/20) Building logres model for C value 0.000000000100000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(2/20) Building logres model for C value 0.000000001000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(3/20) Building logres model for C value 0.000000010000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(4/20) Building logres model for C value 0.000000100000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(5/20) Building logres model for C value 0.000001000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(6/20) Building logres model for C value 0.000010000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(7/20) Building logres model for C value 0.000100000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(8/20) Building logres model for C value 0.001000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(9/20) Building logres model for C value 0.010000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(10/20) Building logres model for C value 0.100000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(11/20) Building logres model for C value 1.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(12/20) Building logres model for C value 10.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(13/20) Building logres model for C value 100.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(14/20) Building logres model for C value 1000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(15/20) Building logres model for C value 10000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(16/20) Building logres model for C value 100000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(17/20) Building logres model for C value 1000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(18/20) Building logres model for C value 10000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(19/20) Building logres model for C value 100000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(20/20) Building logres model for C value 1000000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "best logres model has:\r\n", "roc_auc score: 87.63% (+/- 0.26%)\r\n", "C value: 10\r\n", "log10(C) value: 1.0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "config [['Baseline'], ['Log10LoanAmount'], ['topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19'], ['PostedMonthJan', 'PostedMonthFeb', 'PostedMonthMar', 'PostedMonthApr', 'PostedMonthMay', 'PostedMonthJun', 'PostedMonthJul', 'PostedMonthAug', 'PostedMonthSep', 'PostedMonthOct', 'PostedMonthNov', 'PostedMonthDec'], ['MajorityGender'], ['Log10NumberOfBorrowers'], ['LoansPosted', 'TotalAmountRaised'], ['GeoLatitude', 'GeoLongitude']] : (0.87627831607141471, 0.0025550878988913699)\r\n", "BETTER RESULT!\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(1/20) Building logres model for C value 0.000000000100000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(2/20) Building logres model for C value 0.000000001000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(3/20) Building logres model for C value 0.000000010000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(4/20) Building logres model for C value 0.000000100000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(5/20) Building logres model for C value 0.000001000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(6/20) Building logres model for C value 0.000010000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(7/20) Building logres model for C value 0.000100000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(8/20) Building logres model for C value 0.001000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(9/20) Building logres model for C value 0.010000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(10/20) Building logres model for C value 0.100000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(11/20) Building logres model for C value 1.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(12/20) Building logres model for C value 10.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(13/20) Building logres model for C value 100.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(14/20) Building logres model for C value 1000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(15/20) Building logres model for C value 10000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(16/20) Building logres model for C value 100000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(17/20) Building logres model for C value 1000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(18/20) Building logres model for C value 10000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(19/20) Building logres model for C value 100000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(20/20) Building logres model for C value 1000000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "best logres model has:\r\n", "roc_auc score: 87.77% (+/- 0.26%)\r\n", "C value: 10000\r\n", "log10(C) value: 4.0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "config [['Baseline'], ['Log10LoanAmount'], ['topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19'], ['PostedMonthJan', 'PostedMonthFeb', 'PostedMonthMar', 'PostedMonthApr', 'PostedMonthMay', 'PostedMonthJun', 'PostedMonthJul', 'PostedMonthAug', 'PostedMonthSep', 'PostedMonthOct', 'PostedMonthNov', 'PostedMonthDec'], ['MajorityGender'], ['Log10NumberOfBorrowers'], ['LoansPosted', 'TotalAmountRaised'], ['GeoLatitude', 'GeoLongitude'], ['RepaymentTerm']] : (0.87774961786777261, 0.0026330676733586152)\r\n", "BETTER RESULT!\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(1/20) Building logres model for C value 0.000000000100000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(2/20) Building logres model for C value 0.000000001000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(3/20) Building logres model for C value 0.000000010000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(4/20) Building logres model for C value 0.000000100000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(5/20) Building logres model for C value 0.000001000000000 ... applying it ..." ] }, { "output_type": 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10000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(19/20) Building logres model for C value 100000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(20/20) Building logres model for C value 1000000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "best logres model has:\r\n", "roc_auc score: 87.77% (+/- 0.27%)\r\n", "C value: 10000\r\n", "log10(C) value: 4.0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "config [['Baseline'], ['Log10LoanAmount'], ['topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19'], ['PostedMonthJan', 'PostedMonthFeb', 'PostedMonthMar', 'PostedMonthApr', 'PostedMonthMay', 'PostedMonthJun', 'PostedMonthJul', 'PostedMonthAug', 'PostedMonthSep', 'PostedMonthOct', 'PostedMonthNov', 'PostedMonthDec'], ['MajorityGender'], ['Log10NumberOfBorrowers'], ['LoansPosted', 'TotalAmountRaised'], ['GeoLatitude', 'GeoLongitude'], ['RepaymentTerm'], ['DelinquencyRate', 'Rating']] : (0.87768934190653647, 0.0027331616389033014)\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(1/20) Building logres model for C value 0.000000000100000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(2/20) Building logres model for C value 0.000000001000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(3/20) Building logres model for C value 0.000000010000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(4/20) Building logres model for C value 0.000000100000000 ... applying it ..." ] }, { "output_type": 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1000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(18/20) Building logres model for C value 10000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(19/20) Building logres model for C value 100000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(20/20) Building logres model for C value 1000000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "best logres model has:\r\n", "roc_auc score: 87.82% (+/- 0.31%)\r\n", "C value: 1000\r\n", "log10(C) value: 3.0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "config [['Baseline'], ['Log10LoanAmount'], ['topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19'], ['PostedMonthJan', 'PostedMonthFeb', 'PostedMonthMar', 'PostedMonthApr', 'PostedMonthMay', 'PostedMonthJun', 'PostedMonthJul', 'PostedMonthAug', 'PostedMonthSep', 'PostedMonthOct', 'PostedMonthNov', 'PostedMonthDec'], ['MajorityGender'], ['Log10NumberOfBorrowers'], ['LoansPosted', 'TotalAmountRaised'], ['GeoLatitude', 'GeoLongitude'], ['RepaymentTerm'], ['DelinquencyRate', 'Rating'], ['BonusCreditEligibility']] : (0.87819724370619201, 0.0031405240396688685)\r\n", "BETTER RESULT!\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "(1/20) Building logres model for C value 0.000000000100000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(2/20) Building logres model for C value 0.000000001000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(3/20) Building logres model for C value 0.000000010000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(4/20) Building logres model for C value 0.000000100000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(5/20) Building logres model for C value 0.000001000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(6/20) Building logres model for C value 0.000010000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(7/20) Building logres model for C value 0.000100000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(8/20) Building logres model for C value 0.001000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(9/20) Building logres model for C value 0.010000000000000 ... applying it ..." ] }, { "output_type": 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done\r\n", "(16/20) Building logres model for C value 100000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(17/20) Building logres model for C value 1000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(18/20) Building logres model for C value 10000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(19/20) Building logres model for C value 100000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "(20/20) Building logres model for C value 1000000000.000000000000000 ... applying it ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "best logres model has:\r\n", "roc_auc score: 87.81% (+/- 0.25%)\r\n", "C value: 100\r\n", "log10(C) value: 2.0\r\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "config [['Baseline'], ['Log10LoanAmount'], ['topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19'], ['PostedMonthJan', 'PostedMonthFeb', 'PostedMonthMar', 'PostedMonthApr', 'PostedMonthMay', 'PostedMonthJun', 'PostedMonthJul', 'PostedMonthAug', 'PostedMonthSep', 'PostedMonthOct', 'PostedMonthNov', 'PostedMonthDec'], ['MajorityGender'], ['Log10NumberOfBorrowers'], ['LoansPosted', 'TotalAmountRaised'], ['GeoLatitude', 'GeoLongitude'], ['RepaymentTerm'], ['DelinquencyRate', 'Rating'], ['BonusCreditEligibility'], ['Log10EnglishDescriptionLength']] : (0.87808241597881176, 0.0024926082275705335)\r\n", "bestResult = 0.878197243706\r\n", "bestConfig = [['Baseline'], ['Log10LoanAmount'], ['topic_00', 'topic_01', 'topic_02', 'topic_03', 'topic_04', 'topic_05', 'topic_06', 'topic_07', 'topic_08', 'topic_09', 'topic_10', 'topic_11', 'topic_12', 'topic_13', 'topic_14', 'topic_15', 'topic_16', 'topic_17', 'topic_18', 'topic_19'], ['PostedMonthJan', 'PostedMonthFeb', 'PostedMonthMar', 'PostedMonthApr', 'PostedMonthMay', 'PostedMonthJun', 'PostedMonthJul', 'PostedMonthAug', 'PostedMonthSep', 'PostedMonthOct', 'PostedMonthNov', 'PostedMonthDec'], ['MajorityGender'], ['Log10NumberOfBorrowers'], ['LoansPosted', 'TotalAmountRaised'], ['GeoLatitude', 'GeoLongitude'], ['RepaymentTerm'], ['DelinquencyRate', 'Rating'], ['BonusCreditEligibility'], ['Log10EnglishDescriptionLength']]\r\n", "Saving best classifier to disk ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Preparing unseen data ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "Loading classifier from disk ..." ] }, { "output_type": "stream", "stream": "stdout", "text": [ " done\r\n", "unseenDF.head(3) = Baseline BonusCreditEligibility GeoLatitude GeoLongitude HasImage \\\r\n", "847571 1 1 -2 30 1 \r\n", "847570 1 1 2 33 1 \r\n", "848289 1 0 4 -72 1 \r\n", "\r\n", " HasTranslator Log10EnglishDescriptionLength Log10LoanAmount \\\r\n", "847571 1 2.187521 3.295567 \r\n", "847570 1 2.220108 3.197281 \r\n", "848289 1 2.167317 3.088136 \r\n", "\r\n", " Log10NumberOfBorrowers MajorityGender ... topic_14 \\\r\n", "847571 0 1 ... 1.253125 \r\n", "847570 0 1 ... 2.872730 \r\n", "848289 0 1 ... 5.075311 \r\n", "\r\n", " topic_15 topic_16 topic_17 topic_18 topic_19 DelinquencyRate \\\r\n", "847571 1.239835 1.016679 1.346673 1.212425 1.087503 0.000000 \r\n", "847570 1.360059 1.529400 4.831612 6.177116 3.094922 10.046096 \r\n", "848289 1.066923 10.297114 1.901048 1.970634 1.217917 3.157753 \r\n", "\r\n", " LoansPosted Rating TotalAmountRaised \r\n", "847571 7203 4.0 7051875 \r\n", "847570 2867 3.5 2886900 \r\n", "848289 8367 3.5 6876525 \r\n", "\r\n", "[3 rows x 47 columns]\r\n", "probaList = [[ 0.09530087 0.90469913]\r\n", " [ 0.32417722 0.67582278]\r\n", " [ 0.64328611 0.35671389]]\r\n", "predictions = [1 1 0]\r\n", "\r\n", "sorted feature coefficients in trained model:\r\n", "('TotalAmountRaised', 0.51512673372977458) \r\n", "('PostedMonthMar', 0.49587882878259132) \r\n", "('Log10NumberOfBorrowers', 0.48883803701379364) \r\n", "('PostedMonthFeb', 0.42799728441252655) \r\n", "('GeoLongitude', 0.38565914705597004) \r\n", "('PostedMonthJan', 0.35079067702901506) \r\n", "('topic_11', 0.34463381927852504) ['income', 'earn', 'farming', 'rice', 'living', 'hopes', 'main', 'per', 'day', 'two']\r\n", "\r\n", "('topic_13', 0.28708132847232587) ['city', 'time', 'works', 'day', 'making', 'located', 'well', 'says', 'bank', 'work']\r\n", "\r\n", "('topic_18', 0.21475821305783774) ['school', 'food', 'water', 'sugar', 'selling', 'married', 'oil', 'six', 'four', 'rice']\r\n", "\r\n", "('topic_09', 0.20934126188765559) ['school', 'mother', 'education', 'pay', 'father', 'young', 'year', 'single', 'parents', 'daughter']\r\n", "\r\n", "('topic_05', 0.20686539023306405) ['needs', 'sell', 'market', 'support', 'financial', 'provide', 'opportunity', 'price', 'higher', 'however']\r\n", "\r\n", "('topic_19', 0.15099384642581043) ['community', 'meet', 'every', 'help', 'household', 'week', 'expenses', 'clients', 'daily', 'fellowship']\r\n", "\r\n", "('topic_04', 0.078019280568203023) ['use', 'five', 'married', 'hopes', 'goal', 'future', 'profits', 'plans', 'previous', 'kes']\r\n", "\r\n", "('Rating', 0.077958867518446537) \r\n", "('Log10EnglishDescriptionLength', 0.076418455975725913) \r\n", "('topic_14', 0.061570138754807865) ['family', 'income', 'new', 'conditions', 'local', 'start', 'cover', 'purchase', 'credit', 'lives']\r\n", "\r\n", "('topic_17', 0.042947945859326486) ['better', 'work', 'life', 'corn', 'supplies', 'give', 'crops', 'land', 'worked', 'basic']\r\n", "\r\n", "('topic_03', 0.023512600959147277) ['milk', 'cattle', 'also', 'livestock', 'farm', 'raising', 'two', 'purchase', 'pigs', 'cows']\r\n", "\r\n", "('topic_15', 0.019221226724594188) ['store', 'php', 'additional', 'future', 'nwtf', 'requested', 'general', 'save', 'earns', 'philippines']\r\n", "\r\n", "('PostedMonthApr', 0.012681107688343872) \r\n", "('DelinquencyRate', 0.0099085728485939755) \r\n", "('topic_08', 0.0070316234981432591) ['able', 'work', 'support', 'thanks', 'help', 'continue', 'service', 'lenders', 'little', 'due']\r\n", "\r\n", "('Baseline', 0.0) \r\n", "('topic_10', -0.026241133761063538) ['improve', 'living', 'since', 'requesting', 'old', 'partner', 'services', 'married', 'experience', 'car']\r\n", "\r\n", "('PostedMonthOct', -0.042498684080964508) \r\n", "('topic_01', -0.071793214438988479) ['small', 'help', 'used', 'town', 'expand', 'requested', 'large', 'hopes', 'brac', 'lives']\r\n", "\r\n", "('GeoLatitude', -0.071888473425193139) \r\n", "('topic_07', -0.078008030184428076) ['women', 'members', 'sells', 'profit', 'drinks', 'grocery', 'various', 'made', 'cosmetics', 'live']\r\n", "\r\n", "('topic_06', -0.10954977745880268) ['husband', 'woman', 'like', 'married', 'man', 'would', 'money', 'family', 'hardworking', 'purchase']\r\n", "\r\n", "('PostedMonthNov', -0.11373050680868292) \r\n", "('PostedMonthAug', -0.12381247043109402) \r\n", "('PostedMonthJul', -0.12545649415847018) \r\n", "('topic_00', -0.14755071028433084) ['one', 'group', 'fund', 'farmers', 'season', 'also', 'harvest', 'farmer', 'year', 'savings']\r\n", "\r\n", "('topic_02', -0.1481791870952158) ['selling', 'increase', 'shop', 'capital', 'clothing', 'started', 'sells', 'clothes', 'ago', 'working']\r\n", "\r\n", "('PostedMonthMay', -0.14998063936421158) \r\n", "('BonusCreditEligibility', -0.16710379963027269) \r\n", "('topic_12', -0.16987378700739811) ['house', 'home', 'lives', 'old', 'son', 'wife', 'vegetables', 'materials', 'live', 'requesting']\r\n", "\r\n", "('PostedMonthDec', -0.17337927676927412) \r\n", "('topic_16', -0.17389029153368829) ['products', 'customers', 'store', 'good', 'many', 'quality', 'sales', 'life', 'offer', 'household']\r\n", "\r\n", "('PostedMonthSep', -0.20777319104077704) \r\n", "('PostedMonthJun', -0.28331282420885068) \r\n", "('RepaymentTerm', -0.28978714414735179) \r\n", "('LoansPosted', -0.53589567168998353) \r\n", "('MajorityGender', -0.584374830570077) \r\n", "('Log10LoanAmount', -1.4442547937444266) \r\n" ] } ], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Manual creation of PostedMonth contribution graph (need to go quick)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "fig = plt.figure(20, figsize=(8,8))\n", "\n", "months = ['Mar', 'Feb', 'Jan', 'Apr', 'Oct', 'Nov', 'Aug', 'Jul', 'May', 'Dec', 'Sep', 'Jun']\n", "logresCoefficients = [0.49, 0.42, 0.35, 0.12, -0.04, -0.11, -0.12, -0.12, -0.15, -0.17, -0.20, -0.28]\n", "index = np.arange(12)\n", "bar_width = 0.50\n", "\n", "plt.bar(index, logresCoefficients, bar_width)\n", "\n", "plt.xlabel('Month', fontsize=\"20\")\n", "plt.ylabel('Impact on positive outcome (full funding) ', fontsize=\"20\")\n", "plt.title('LogRes Model Coefficients for PostedMonth features', fontsize=\"20\", y=1.03)\n", "plt.xticks(index + bar_width, months)\n", "\n", "plt.setp(plt.gca().get_yticklabels(), fontsize=\"20\")\n", "plt.setp(plt.gca().get_xticklabels(), fontsize=\"20\", ha=\"center\", rotation=45)\n", "#plt.autoscale(tight=True)\n", "\n", "plt.tight_layout()\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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WNCuyiIiISOFkadFZH7gSuM7MfgPcT1jbagnuflEOsaVmZqOBk4E9gFWB54Er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\npjsVH9ExYAp5qmJhNN7ifgoX0pkHZTO8S+tSvMvvYAqeyp3qqKTnqYq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"text": [ "" ] } ], "prompt_number": 26 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Manual creation of topic contribution graph (need to go quick)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "fig = plt.figure(20, figsize=(20,8))\n", "ax = fig.add_subplot(111)\n", "\n", "topics = [['one', 'group', 'fund', 'farmers', 'season', 'also', 'harvest', 'farmer', 'year', 'savings'],\n", " ['small', 'help', 'used', 'town', 'expand', 'requested', 'large', 'hopes', 'brac', 'lives'],\n", " ['selling', 'increase', 'shop', 'capital', 'clothing', 'started', 'sells', 'clothes', 'ago', 'working'],\n", " ['milk', 'cattle', 'also', 'livestock', 'farm', 'raising', 'two', 'purchase', 'pigs', 'cows'],\n", " ['use', 'five', 'married', 'hopes', 'goal', 'future', 'profits', 'plans', 'previous', 'kes'],\n", " ['needs', 'sell', 'market', 'support', 'financial', 'provide', 'opportunity', 'price', 'higher', 'however'],\n", " ['husband', 'woman', 'like', 'married', 'man', 'would', 'money', 'family', 'hardworking', 'purchase'],\n", " ['women', 'members', 'sells', 'profit', 'drinks', 'grocery', 'various', 'made', 'cosmetics', 'live'],\n", " ['able', 'work', 'support', 'thanks', 'help', 'continue', 'service', 'lenders', 'little', 'due'],\n", " ['school', 'mother', 'education', 'pay', 'father', 'young', 'year', 'single', 'parents', 'daughter'],\n", " ['improve', 'living', 'since', 'requesting', 'old', 'partner', 'services', 'married', 'experience', 'car'],\n", " ['income', 'earn', 'farming', 'rice', 'living', 'hopes', 'main', 'per', 'day', 'two'],\n", " ['house', 'home', 'lives', 'old', 'son', 'wife', 'vegetables', 'materials', 'live', 'requesting'],\n", " ['city', 'time', 'works', 'day', 'making', 'located', 'well', 'says', 'bank', 'work'],\n", " ['family', 'income', 'new', 'conditions', 'local', 'start', 'cover', 'purchase', 'credit', 'lives'],\n", " ['store', 'php', 'additional', 'future', 'nwtf', 'requested', 'general', 'save', 'earns', 'philippines'],\n", " ['products', 'customers', 'store', 'good', 'many', 'quality', 'sales', 'life', 'offer', 'household'],\n", " ['better', 'work', 'life', 'corn', 'supplies', 'give', 'crops', 'land', 'worked', 'basic'],\n", " ['school', 'food', 'water', 'sugar', 'selling', 'married', 'oil', 'six', 'four', 'rice'],\n", " ['community', 'meet', 'every', 'help', 'household', 'week', 'expenses', 'clients', 'daily', 'fellowship']]\n", "\n", "topicIndicesAndCoefficients = [\n", "(11, 0.34463381927852504),\n", "(13, 0.28708132847232587),\n", "(18, 0.21475821305783774),\n", "(9, 0.20934126188765559),\n", "(5, 0.20686539023306405),\n", "(19, 0.15099384642581043),\n", "(4, 0.078019280568203023),\n", "(14, 0.061570138754807865),\n", "(17, 0.042947945859326486),\n", "(3, 0.023512600959147277),\n", "(15, 0.019221226724594188),\n", "(8, 0.0070316234981432591),\n", "(10, -0.026241133761063538) ,\n", "(1, -0.071793214438988479) ,\n", "(7, -0.078008030184428076),\n", "(6, -0.10954977745880268) ,\n", "(0, -0.14755071028433084),\n", "(2, -0.1481791870952158) ,\n", "(12, -0.16987378700739811) ,\n", "(16, -0.17389029153368829)]\n", "\n", "Xtopics = [\"topic_%d\" % (topicIndicesAndCoefficients[i][0]) for i in range(len(topics))]\n", "topicLogresCoefficients = [topicIndicesAndCoefficients[i][1] for i in range(len(topics))]\n", "index = np.arange(len(topics))\n", "bar_width = 0.70\n", "\n", "plt.bar(index, topicLogresCoefficients, bar_width)\n", "\n", "plt.xlabel('Topic', fontsize=\"20\")\n", "plt.ylabel('Impact on positive outcome (full funding) ', fontsize=\"20\")\n", "plt.title('LogRes Model Coefficients for topical features', fontsize=\"20\", y=1.03)\n", "plt.xticks(index + bar_width, Xtopics)\n", "\n", "for i in range(len(topics)):\n", " coeff = topicLogresCoefficients[i]\n", " string = \"\\n\".join(topics[i])\n", " if coeff >= 0:\n", " y = -0.13\n", " else:\n", " y = 0.02\n", " ax.annotate(string, xy=(index[i]+0.05, y), xytext=(index[i]+0.05, y), fontsize=\"10\")\n", "\n", "plt.setp(plt.gca().get_yticklabels(), fontsize=\"20\")\n", "plt.setp(plt.gca().get_xticklabels(), fontsize=\"10\", ha=\"right\", rotation=0)\n", "plt.autoscale(tight=True)\n", "\n", "plt.tight_layout()\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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+A/gNMAt4oTyvPYBNgCeBCZk5q8bx7SEtSZIkSZIkadBr9ZAd+wK/BA7IzOtq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\nAMuWLSM0NPSSeVS1DTVq1Mhcj7ukkJAQ8/gTJ06wZcsW/P39Kx2sK56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hhx9y4cIFTp06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"text": [ "" ] } ], "prompt_number": 75 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Manual creation of other features' contribution graph (need to go quick)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "fig = plt.figure(20, figsize=(12,8))\n", "\n", "rankedFeaturesAndCoeffs = [\n", "('TotalAmountRaised', 0.51512673372977458), \n", "('Log10NumberOfBorrowers', 0.48883803701379364), \n", "('GeoLongitude', 0.38565914705597004),\n", "('Rating', 0.077958867518446537), \n", "('Log10EnglishDescriptionLength', 0.076418455975725913), \n", "('DelinquencyRate', 0.0099085728485939755), \n", "('GeoLatitude', -0.071888473425193139), \n", "('BonusCreditEligibility', -0.16710379963027269), \n", "('RepaymentTerm', -0.28978714414735179), \n", "('LoansPosted', -0.53589567168998353), \n", "('MajorityGender', -0.584374830570077), \n", "('Log10LoanAmount', -1.4442547937444266)]\n", "\n", "features = [\"%s\" % (rankedFeaturesAndCoeffs[i][0]) for i in range(len(rankedFeaturesAndCoeffs))]\n", "print features\n", "logresCoeffs = [rankedFeaturesAndCoeffs[i][1] for i in range(len(rankedFeaturesAndCoeffs))]\n", "print logresCoeffs\n", "index = np.arange(len(rankedFeaturesAndCoeffs))\n", "bar_width = 0.50\n", "\n", "plt.bar(index, logresCoeffs, bar_width)\n", "\n", "plt.xlabel('Other features', fontsize=\"20\")\n", "plt.ylabel('Impact on positive outcome\\n(full funding) ', fontsize=\"20\")\n", "plt.title('LogRes Model Coefficients for remaining features', fontsize=\"20\", y=1.03)\n", "plt.xticks(index + bar_width, features)\n", "\n", "plt.setp(plt.gca().get_yticklabels(), fontsize=\"20\")\n", "plt.setp(plt.gca().get_xticklabels(), fontsize=\"16\", ha=\"right\", rotation=45)\n", "plt.autoscale(tight=True)\n", "\n", "plt.tight_layout()\n", "plt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "['TotalAmountRaised', 'Log10NumberOfBorrowers', 'GeoLongitude', 'Rating', 'Log10EnglishDescriptionLength', 'DelinquencyRate', 'GeoLatitude', 'BonusCreditEligibility', 'RepaymentTerm', 'LoansPosted', 'MajorityGender', 'Log10LoanAmount']\n", "[0.5151267337297746, 0.48883803701379364, 0.38565914705597004, 0.07795886751844654, 0.07641845597572591, 0.009908572848593976, -0.07188847342519314, -0.1671037996302727, -0.2897871441473518, -0.5358956716899835, -0.584374830570077, -1.4442547937444266]\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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+ERGrTUCMkiRJkjSl1Jl1cFXgUuAZwD+A3wO3AesB2wCrAFcDO2Xm/RMS7Qzi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ivZZuLf9XbGVN0FrGd1Q4G/A1sW/06spTDm70GKhHmD+zuRC1ueDqOQ5nbT4Lno6IASNzyLNPEr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\nN5sRJ0mSJEmStE6XMLRKSmjjDaSIWo2rM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