{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from matplotlib import pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "import geopandas as gpd\n", "np.random.seed(42)\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "plt.rcParams['figure.figsize'] = (10,6)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Week 11: Supervised Learning with Scikit-Learn\n", "Nov 14, 2019\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Housekeeping\n", "\n", "- HW #6 due today\n", "- HW #7 will be posted tonight \n", " — includes final project proposal\n", " - machine learning analysis of Philadelphia housing sales\n", " - due Tuesday Nov 26 (in two classes)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Last time\n", "\n", "- A crash course on clustering \n", " - non-spatial: k-means\n", " - spatial: DBSCAN\n", "- An introduction to scikit-learn" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Reminder: clustering is an example of *unsupervised learning*\n", "\n", "- Clustering tries to detect previously unknown structure in your input dataset\n", "- Only requires the data set as input, no associated labels or prediction targets" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Today: an example of *supervised learning*\n", "\n", "\n", "- **Key distinction**: requires a training data set as well as the desired solutions (called *labels*) as inputs to the algorithm\n", "- Two main types:\n", " - **classification**: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. \n", " - **regression**: predicting a continuous variable from a training dataset\n" ] }, { "attachments": { "1_ASYpFfDh7XnreU-ygqXonw.png": { "image/png": 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5uXv27Glu1GfKlCkKhaLxrhISEv7973/37t27xQDDx8dn27ZteXl5HMPp27dvv/vuu9zXwzE2Nn7jjTdKSkr07Pbo0aPTp0/ncsqIHj16bN68ubm9RUdHszceM2YMl7dWW1v7xx9/NHkYOsRi8aJFi0JDQ1u8Gmmazs/P9/b21hkNJQf57rvv6h+K7t+//+eff87x3wsAEEhgQRdx8+ZNGxsbdl/4008/kdu1Oj2BlZWV9corr+jkHZrsyXT+NG3atJSUFI6ZBfZsJj0ZDZ2UR1ZWVnP7PHv2LJN/0Z8oYf/V39///v37Te4wIyPjxRdfZB+ezgaVlZUvvPCCTmpGPx6Pt2vXLvZOjhw5wg4Xtm3bxqUBf/7559GjR3M8R8zP+/fvb3JvdXV1ek6rnj8tXrw4PT1dz0VOcqBUazSZwHrjjTeYFx02bNjVq1dbbKLQ0NCAgAD9b6rx2+FyAe/YsYN5iq2t7U8//VRWVvbJJ5/omcPPfqGxY8eGh4fjMxAA4J+VwCoqKiKdEfPc5cuX64/cysrKPv/8c/a8rSa7V/bjPXr02LBhA/e3c/jwYWa4sblelZg+fToJeNhDX6+//npaWlpzOw8ODibBKvH1118XFRUtW7ZMT47j1VdfbZxGOX/+PImXuPfIU6dOTU1NbTF7FRIS4ufnxz2eJD+bm5vrGXPds2cPM8lI/6gb+69BQUHN7TA2Ntba2po5vIkTJ7Z4WktKSnbs2MFMnNdz5bCzS3v37m0ye8hWUFDg7+/PPNfJyYmm6atXr7KjSv2n5p133sHHCAB3uIUQuojQ0NCSkhLm1969e7u4uDzCQjztwS5ExdzeyOPx7OzsunXrZm5uLpfLU1NTq6urmfvwyWbHjh3LyckJCQmRSqV69p+Tk7N58+bff/9d5w5KsnKfo6OjRCKprq4uKSkho4VcjjkuLm716tVJSUk6O+TxeB4eHnZ2dkKhsKysLCMjo7a2lv1XoVDY5mYnI6vsl2PvqrkjZyo+tNnBgwfXrl1LynCQuxiY1xKJRN7e3qamprm5uenp6TqHwbHuA/t02NrampqaVldXk/FDnTO+d+9eiqLWr1/fZFUstVpNpvGzn6W/cZgrsJ1NdPny5RUrVsTExDS+xsgk/7S0NDKbT+ftlJeXf/bZZ25ubhxfSCqV5uTkfPfdd5s2bdK5FcLe3r6uro4cA/NCNE1fvnz5m2++6datGxbVBgD4BykpKSktLWX3YlKpVE8IUVpaumPHDjJpV6ezFgqF3t7eZmZmDx48YEIdsqvc3NxPP/1ULBavXr26xUM6fPjwypUryU36zHJAzTly5EhFRcWvv/5KgjSyPZdp0YSZmVlGRsaBAwf+85//sB/v2bOno6MjRVF3795VKpVkOg97gzNnzqxcuZJUS9BpB1dX1x49etTU1JAZ4kwoRdP08ePH79+/f+3aNT2DQ6mpqe+99x4pd6CzZw8PD1LgsqKiIi8vjwyMsSdhNfeujx07tnr1apVK1TieHDBggIWFhVarJeU1dP6qUwi1PSorKw8cOPDxxx8zVajYLzR06FCNRsNEZcxxxsfHL1++XKlUvvPOO9xfy8TEJCEhYc6cOTr3XZI3m5GRQTJ97GBp165dAwcOnD9/Pj4TALh+YwToApjy7aQ/mDFjhp6ZLB08AyszM3Py5MnMt/3t27ffu3dPoVDUN2B+qKmp2b9/PzM0x4QCc+bM0bNzlUp15MgRnaeMGzfu+vXrdXV1ZP/MS8jl8qSkpJ07dzJTq5qbgTVv3jydz4qFCxfGx8fL5XKdfVZVVd29e5cshk2aos0zsOrq6t57773nnntu4sSJkyZNYka0yPb9+vV78cUXJ/6vsWPHnj59uj0zsE6cOGFhYaHzZr28vA4ePFhYWMg+R3V1dZmZmXv27GFaLzg4uMUZWMOGDduzZ09KSgppOvYZLyws3L17d+Nxv+Dg4CZH/NRqdV2D6urqDRs2sBsnJSVFoVDUNYVkGNszAys/P//555/XOUgfH59Tp05VVVUx10NhYeGuXbuYey6YLVetWqV/Ej57BpadnZ2fn5+JiQkTx//+++9KpZJ5lbq6uvPnz7u6uuq8ytGjRx/fjEsAAHjkM7DOnj1L7klnPsn1dNkKhWL79u06n/wCgWDnzp25ubmkYyX/X1FR8eOPPzIFjMjGlpaW58+f1388V69ebVw009raetOmTbdv3y4tLS0sLLx58+b777/P3mDz5s2kFCN5oenTp+uJP9kzsExNTT08PNh36gUHB9fW1jL9nUKhuHfv3tGjR8kaJkRYWFjjG/mDgoLCw8OZ55KIJS4urvHtctOnT2/u2CorK5cvX67TwosWLUpMTGSalwlgamtrw8PD16xZQ45fJpM1WQOhsLDwueee0zmGjRs3ZmVlMRERs8/S0tLQ0NCFCxc+8hlYf/31V+OpT2+99RaJnZgjSUpKImGqzpb6KxXozMDy8vJiF2ZdsmRJcnIyOyAvKChYt26dzqu4u7vrr+kBAAwksKArKC4unjBhArsn2LZtG7u/79wE1oMHD+bMmbNq1armikOxabXar776SieA0BMMFRQUjBw5kr3xgQMHuLyFrKysBQsWNDnlOywsjF2uy9vbm2ONpDt37ixfvjwzM7NtCSwdpMg9c06//fZbLsfQqgTWrVu3dCoX2Nvbf/PNNy2+SmZm5rRp03744Ycm/yqXy3v16rV169by8nIux7xo0SKdM67n1k4yyf+zzz5jN05ry71xT2BpNBomWGd/x2ju+0leXh6zc47XJJPA0hm/JcWwmjNp0iR2Czz//POPNWcNAACPMIGlUCg2btzI/vD39PS8cOFCc9ufPHmy8egIWUKuSVVVVWvXrmU/ZeTIkXoKTRYUFCxevJjdBxkbG2/fvr3Jl6iurmZ2rpOJ4JjA0unvPvroIy7lltLT05nxJGb2UFRUlJ6nhIaGuri4sJ/y9ddfNxcW6rRwZGQklwsgIiJi2bJlBQUFTb5fkmkiJk2a1NwYp45ffvllxYoVjySBlZaW1jgnFRcX19z258+fJ2Eke3uyJnWLCSz2aR03blxsbGxzz7py5UrPnj3Zrb1p0yZ8mAAggQVPirt37w4bNozdDTRXnKhTElhkyIX7zlUq1b59+9hhxKJFi5rbODs7m72lnrE17vbu3ctetE6nSnqbtTaBFRERwQ4IdGpdtT+BVVFRQQbBmJewtrb+5ZdfuL+j5gIarVZLbgjljrm1gRxJcHCwnmhJrVZv3ryZfeT6E17tSWA1HiHfsGGD/us5Nzc3KCiI/XYCAwMTExO5JLCYhREPHTqk55sJOX06oXZYWBg+DAEADD+BpdVqT5w4QVZ5Zj7DX3vtteY6l/v377ODLh6Pt2XLlhYPrKamZtWqVezczRdffNHcxsePH9fpU/SPZikUiv/85z9ktUF2eSzuCSzmhdatW1dVVdXi21EqlQcPHmQfZL9+/biMk507d449aeu5555r8uVCQkLYB/ZIAulPPvmEeV1nZ+eTJ08+kkuOewJLrVaTGwCZ92VmZhYREaF//2fPnmUuTvKsjz/+mGMCi2w/dOhQPbX8if3797PP5uTJkx/r0DtAl8HHTZTQNcoo1NTU6FTSMZzDEzfgvr1QKAwMDGTfxHfx4sXm1paWy+XseIvMuG5/sYCqqirys6enZ9++fbvkZZOSkkLSQEzZhXXr1k2dOpX7Hvj8pj9CKYpiboLjaPny5YMGDWJ+3bVrF/fVxB8fpVIZExNz//59pokmTpy4YMEC/ddz9+7dP/jgAwcHB+aRs2fPkmodXO5q5/F4b7/9dmBgoP4SY+bm5mvWrGEHf6mpqYbQaAAATzKKovRXL3r48OGxY8c+/PDDsrIyJnqRSqUzZ85ssnPRaDSRkZGXLl1iHnnxxReZz389jI2N58+fz66lHRUVVVhY2HjL/Pz88+fPs6OpxQ30h3YzG7RYhlK/iRMnzpgxQ09dKkZBQQEz+Zq84o8//ti4BkJjEyZMYI9axcXF/fnnnzrbaLXajIwMdkc8fvz49l8M9fX1TKu6u7uTweYO/oKwa9cu9vv68ssvhw4dqv9Zo0ePJsOKzJn95ZdfamtruYcxmzdv7tWrl/4tR44cOXHiRPb5jY+PxwcIQMvfv9AE0AVUVlay+xUbGxuDSmC1QY8ePciNgaQjlMvlOmsGM6qrq3XCtfaXrlcqlczPIpFI/xrA/1B1dXVhYWFarZZpLnd391bV6Xy0TE1NyWriRHR0tCHkYpKTk8l3BtJKMpksKCiInZlqjp+f38svv8x8meHxeFevXi0qKuLyou7u7uPHj2ev09Sc2bNns+PL6Ohoks8FAIDOolAobty4ERYWdut/Xbt27eLFi0ePHl25cuXrr7+enp7Oruq9ZcsW9rJ6bOXl5d999x07cbNlyxaOB9O7d++nn36a+fXWrVt3795tvFlOTs6BAwfYCQimsqceVlZWL7/8cp8+fdrWUOSFXnzxxd69e3PZ+O7du0yOiQy5sce99Js4ceJTTz1Ffs7Ly4uNjW28f2bk8u+viHx++4NJhULB/CoUCjs+OCd3njKR3qhRo0j9Af2MjY2fffZZMq+KyM3NJWslcTF48GBS2EQ/T09PUi2LXAmFhYXs8wsAzUECC7oCpVLJ/rZvZGTErNf7z2Vtbc2sqlZeXk4WX2sy8cH+9cqVK+1/afYQaE5ODll9r4upqqo6evQo+5GNGzd24rKVUql0wIAB7BVwUlNTO72VCgoKyD0FRM+ePadMmcLxuW+//Tb713PnzhUXF3N5or+/v4+PD5ctdYY3U1NT2blXAADolI5jyZIlCxYsWMjy5ptvzpo1a/z48dOnTz927JjOIne7du166623mtthaWkpmR5FTJ482dPTk/vxPPPMM/b29uTn9PT0xkMpKpUqJSWFneYIDAx0dHTksvNx48b179+/zZOwnnrqKY6T3FUq1aFDh9hZvNdee4170DJgwAD2csAPHz7Myclhb0BRlM5kLlKHtJ3BJHsENDc39969ex18NQYHB5MfSKO9+eab7Kr5enh6epJyY8xA8q1btzi+KPfRUObK5PF4xcXFTU4PBAAdSGBBV6BWq8nKuIRAIGj/wFGns7a2trW1JT8rFIrc3NwmNyP1F5jIae/evSQ0bA8HB4du3bqRn8vLy48dO0bKUXUl9fX14eHh7LCm8UI5HYxZv48gS0p3Iq1WqxPoP/XUU9xvjWSPK/J4vPv377c4PYps7OTkZGdnx/FV2DmssrIyrVaLz0MAgM5CUiqJjSQlJZGSnUydIJqmHRwc3n777WvXri1cuLC5uTlk5hE7u/Tqq6+2KsYbNmwYKetJ9pCTk8NeKZjkJph4gGBPiNZPJBKxF71pLU9PTy7Tr0g7nDp1ivl11KhRXOYpN9ddpqWl6Uz24fP5OqNo69evb3/sR7JFpHNPSEj47rvvMjMzO/KCjIyMZP/q7e3NcYRbKpV6eHiQpB5pkPz8fLVazSWM4TL9irCysmJyWLW1tTpXJgA0SYgmgK5wHQuF7HI5Go3GwL/HRkREJCQkpKWlFRcXKxQKUrVRJwTUmUusc6sgQyaTvfrqq7/88gt5Vnl5+cqVK2/cuDF16lR23YdWeeqpp9zc3AoKCkiIGRISUlZW9sILLwQFBZH4pgsgq9KwZ5WTVODjO+Px8fHJycmlpaUqlUqtVrPvXiRHUlZWxn4Kx/lKj09FRUViYiK7lfz8/Fq1h0mTJpFCG+RCSktLGzx4sP7aKDwej0tFD4adnR0TDZeXlyOBBQDQubhMCyIxz7Bhw5YsWaJ/CpJarb5x4wb7keHDh7dqurRIJGL373l5eRUVFTKZjHmElBRgH1irwidvb29LS8vy8vJWtRJ5IQcHB2aoUr8HDx6wf/Xz82MvtsNF9+7dJRIJuacvLy9PJ+QgG1hYWDALpERERCxevDgwMHDatGk66zVz17dvXxcXlwcPHpAw4NixYzk5ORMnTpwyZQpZg++xIo3GXC0jRoxoVX1SBweH3r1737lzh/xaWFiYkpJCBuf0IwXguTAyMmKnbtl3XAJAs1/80QTQBYhEIva34vr6+hYHSTqFXC4PDg4+dOhQdnZ2TU0Nl3o9zFzx5ja2trZeuHAhWTuPjGo+fPjw66+//vnnn3v27Onn5/fMM8+MHTuWe2/K4/E8PDyGDh168+ZNsk+apqMaHDhwwNHRkVQQGDFiRKsq0xsUrVZL7hdgjB49+nHM2ispKdm/f/+vv/6anZ1dXV3NZWyNibRKS0s7/XLNy8tjP9Ji3VMdo0aNYleKzc3NVSqV+hNY5ubm3DOJFEWxNyYrP+LzEACgE3H/HA4NDX355ZePHz+uZ2xMq9Uy97IxBbBMTEy4v4pIJGL3ZY37YlIknv1Iqwa0vL29TU1NW5vAIth5NP1IeW8mQggPD1+xYkWLA0IMgUAQGxvLVNuoqKgg5dXZbGxsNm/evHTpUp3YLzg42MXFZdSoUc8+++zIkSNbVRd18uTJwcHBDx48IPusr68PbbBz504PD48xY8ZMmjSpPVPY9NPJ+pEzxf3pjo6OTk5OTAKrurqay8hiq+p8icVi9kk0zC8vAIYGCSzoCiwsLNiDKkVFRYZWy1mr1f7+++8LFy5sc1ZCT3GfESNGfPXVV++++y6J50jYUdIgOjp67969ZLOgoKCZM2c+++yzOv1lk7788sv79++fPXuWvc/8BhERETt37iRLEc+ZM+fVV18dNGiQTCbTv2acoZ2OrKws9iM9e/Z8tAms+vr648ePkyrj3LFHlZubc9dhVCqVTkTevXv3Vu1BZ3y1rKyMfatvkyQN8JkGAPBPRNO0q6trk6Uzs7Ozw8PD9+/fHx4eTuqF19bWpqamDhw4MCoqqrksBk3TTMVxEoow1dbb1r1WVlbq5G50pu62qsAWmQjc5rqr3JMdZNo4816uN2hbO9A0XVtb23iyj0QiCQoKiouL27dvHzv2y2tw69atbdu2kZse5s+fP3PmTD8/Pz6frz/24/P5u3fvzsvLi4qKYuccHza4dOnSp59+yuPxvLy8pk2bNmXKFHd3d4lE8qgKkpaUlLB/tbW1bVV2ybwBO67jEpjZ29t3YkFVgCcBamBBV2BnZ6czldqgbiNXKpUHDx6cMmVKaWkpmSSls4FIJDI1NbWysrKzs7NtYGdnZ2FhwefzuYwxymSyefPm7d27l6xHwzyFYuHxeCdOnHjppZeMjY1XrVoVHR3dYhOdOnVq9uzZpOpn432SOui7du0aNWqUg4PD1q1bHzx48E8ZO6Jpuqamhv2IpaXlIww46urqvvnmG5K9avKMi8ViMzMzUuaMOeOWlpYGNYFIrVZXVlbqBHOt2oNOVa+KiooWE1iYQgUA8I+mVqubvBPKyclp6tSpFy5cOHz4MLN8HukffXx89MxgYi8zTbUVu4PWWeRXp99pbTxgYmLS5gE87lOomDv7HlU7NNkd29vbr1+/fu3atezYT+fparX622+/HTVqlImJyY4dOzIyMvQvn+Lk5PTbb78FBgbqFO1i7zMpKWn9+vX9+/f38fH58ccfm6v62lo6t0mamJhwb3ASXbMTXnV1dexLEWEMQGfBDCzoCpydnZmvymS8qLS0VKlUGsI9blqtNiQkZOHChUygxlRY6NOnj729vUwmMzExEYvFIpGIiYH4fH5SUtKxY8c4Vrs0NjZetGiRj4/PuXPn7ty5c/XqVZ3bqZiohabpLxps2bJl1qxZetbZEQqFhw4dOnPmTGhoaHR0NFnfkJ3JYrasqan5pMHRo0cnTJigk7YwTDqh26Od9XPkyJHly5ez7wDl8Xhjx4719PS0tbWVyWTGxsaiBuwznpGRsWHDBqZ+aqejaVonym/tPyidQWmFQoHADgDgCTdx4kQrK6slS5aQ5ZVJR/nuu+9+9913LeYX2t+JyOVy/TtpQ+jYAQsH6SSJ2t8OzY04Ojg4rF+/fuTIkZcuXQoPD7969WrjIq3kAJRK5Ycffrh79+7169e/8soreoa4SA7ryJEjt2/fvnv3Lrlhs3E8SdN0UlLSnDlznJycfvrpJ19f33bGZjqNJhQKW3WmGhfYxS1+AIYACSzoCqysrMjADvPlPykpKS8vz8XFpdOPraSkhNxwx3T5Pj4+7733Xp8+fXr37q2nXvWNGzdCQkJatVzLsAbJycmxsbHFxcVJSUlxcXGk+il7GI38+tFHH6WlpW3cuLFHjx569vnCCy9MmDAhJibm/v37ubm5SUlJsbGxkZGROnOyyD5ff/31TZs2vfPOO62dqtPBKIoyMjJiP1JRUfGoMkelpaVvvvkmO3v1yiuvBAYGDho0yNPTU09ljbi4uA0bNhhOKwkEAp2JjVVVVRzLzRI6E7jIpEJ8XgEAPOF8fX2XL1++ePFiuVxOet6ffvrppZdemjJlip5nkS5169atVlZWbcvgaLVaCwsLnYVudbr+ysrKVu1coVB0QF6DPRWIpumpU6eOGjVKIpG0rR00Go2Pj4+e3n/ChAnPPvtsVFRUUlJSUVFRQkJCbGxsdHQ0O54kP2dnZ8+bN+/hw4fLly/XUyJdLBa/8cYbQUFBkZGRWVlZ2dnZCQkJMTExKSkpjTNZ2dnZo0ePPnz48GuvvdaesEFnPFUul7fqTNXV1bHnEkqlUp3QEQA6BRJY0EXorEMcHh6em5trCAmshISE0NBQJuYYMGDAV1995e/v3+ITa2pq2lYFybMBj8crKCggC83k5uaGhYUdP36czKZmVrAODg62t7ffvHmz/vhAKBQObaDRaPLy8vLz80tKSrKzs0NCQk6ePMlOjdE0/fnnnzs5ObW29lMHoyhKZyp7cXHxo5oc9OOPP7LjsJkzZ37wwQcDBw5s8Yn6J+F3PJFIpJOILC0tbVUCS6f8hIWFRatm7wMAQNf8+iEUPvfcc/Pnz9+1axfT+R48eNDf379bt246/XW3bt0KCgqYR+bOnWtvb/9oQwL2rzqrl7SosrKyxbvj20+n8x0yZMjixYvbXHuLCz6fT2I/kqUqKCgoLy/PzMy8evXqsWPHdNJYn376qYeHx2uvvaZ/INDExGTMmDGknlROTk5hYWFZWVlSUtKFCxdCQ0N14skNGzZ07949ICCgzW9BJ4FVWVnZqkCrtgHzq1QqbdUihgDwuD6d0ATQNQQEBLB799TU1Ozs7E6/X0mtVv/+++/syTjbtm3jkr0iHadOyYPW6tatm4+PzzPPPDNz5sxPP/302rVrpKA7O+zYunVrRkYGxx0KBIKePXv6+voGBgbOmzdvx44d4eHh69atMzU1ZZq6urr61KlTrZo41gkffHy+q6sr+5H4+HidMq5t9scff5AfaJp2cHCYPn06l+wVU7XdcGp/isVincUrk5OTW7UHsmoSw8bG5h9U6R8AAB4fW1vbF154wcvLi+n4rl+/furUKZ3NKIoi2zCbkQLwjzYkcHBwYH4tKipqVfSYmZnZAXVX3d3d2b8WFhZ22GpFFEU5Ozv7+fk999xz8+bN+/zzz2NjY9euXasTT65Zs0an7IAeUqnU3d3d399/0qRJb7/99rfffnv58uX58+ezby1MTU39448/Gq+WyJ1OojMzM5NLESv2lVBUVMT8KpPJdKalA0DnfI9DE0DXQEqJs0Oc3377LScnp3OPSqPRkDv4CBcXF465DDJSVFhY+EgOQyAQODg49OvXb968eREREQ4ODuyYg0m4tDa74ezs7Ovru2bNmt27d7u4uDC34EVERDCLXhsmiqL69+/PjpPOnz//SPasVqsfPnzI/Dpu3DiO6xnV1dUxCy0ZCHNzc+ZrA6Gz0HiLLl++TH4g7ezl5dWqBYAAAKALGzdu3IQJE5g+oqam5sKFCzorGPL5/CFDhrAfiYmJebTDk2Kx2M/Pjx1ANrmKYnPu3bv3yHNqjek0QmxsbJOV8h83iUTi5OQ0YMCADz/88MyZM+w4KisrKzExsQ37NDExcXNzCwgI+PLLL9etW8euBxIfH9/akTM2EnIzRxgbG9uqBFZeXh57xWpbW1udNCIAdAoksKDrmDlzJvvX48ePt6fbeyRomk5ISGB+7devH8f53jU1NaTXfLTzcUQi0ZAhQ3bv3t1klqFtpFLprFmzyBxvEiU8fPiwtLTUwK8WnepjhYWFDx48aP9ui4qK2COQTk5OOpOYmiOXy69du9aqU6lzpT3yJpLJZL169WLv/NKlS9yfrtVq2Rd/4zYHAIAnmUgkeu6550gJCBLt/Prrrzdv3mRvIxQKx44dy37k4sWLj/aWPZlM5uvry37kl19+4f70O3fudMBkKBJLsLvjRzVtvG1MTExGjRq1cuVK8is5fTrnrg37XLFiRWBgIPNIRkZGe4aidaoWZGRktOrOhry8vJSUFKbZbRrgny1Ap0MCC7oO0o+y5xZNnz6dPXjSNjU1NdwnRTfGfq6RkRHHhFRMTMzRo0cfRytRFMVeHZkMmrV/t8OGDWMvFtOeFusYxsbGb7/9Njvw+uijj9q/2+rqanZgLZFIOKYs8/LyfvvtN+4nUac6VasGFbmztLRkjzempaWFh4dzfO63337LzsAGBgZi7j0AALBNmDCBGQAj/cWxY8fu3bvH3mbw4MHsoGX//v3tLLDQOB4gtR2Yl9i4cSPH56alpZFpR4/79n+hUKiTLTp69GjnFsowNTVlJ5vaUD6sMTMzM2dnZ+ZclJeXtzM5uGjRInajHT58WGd5meZkZ2dfv36dfWZ15qQDQGdBAgu6lO+++46dwyopKfnoo490KklzR9N0RETEqlWrUlNT23xI7Ak4ycnJXBZAqaurCw8Pv3///mNqJZ2I55GsGKgTuhn+YnMWFhYvv/wyuzVOnDjR/il7VlZW7BG/nJwcUji/xTO+fft27hEwRVE6E7seU9Gx3r17P//880wrFRUVkX9iLaqtrWUm+pHnvvjii46OjviMAgAAtnnz5rGXBTx79mxUVBQ7UDE2NtbJ3WzatOnRHoODg8OoUaN0Mh1cnnjs2DGS5njchELhjBkz2EHL8uXLc3NzO/fc6QQtj6TGOTuAlEql7Vz7hSSwmEb75ptvOE63j4yMPHToEPNrjx49SNAIAJ0OCSzoUmbPnj1r1ix2DuvIkSMbN25kr1/DUUVFxW+//TZ37tyrV6+2ufI0n88nI4dEfHw8l0TDhQsXPvjgAy7pDJqmi4uLOY4mMfLz89m/9u3bl/2rVqvNz89v7Yp49+/fZ5djkMlkhn+19O7dmwlHSFPPnTu3nXXHbG1tjY2NmV9v3LjB5YyfPHmSrF3IPWQkE6OYmOzGjRuPYyTWzs5u+PDhZBIZaaLLly+Tshd6qFSq//znP+xaGH379h04cKBYLMZnFAAAsJHq4Oy++NChQ+zlZczMzIKCgiwsLJhu7quvvvrrr7/a8FolJSVNzhB3dHQMCgpi96offfRRi5Wwrly5QjrEjll9xdnZed68eeyGevvtt1sbAZIbCxpPYaNpOjc3t1UV0xUKRUREBPsRnTlKcrm8oKCgVcGJQqFgT+Oyt7dvZ/GB/v37k3UP2dnPFge2k5KSvv/+e/aZ9ff314mWAaCzIIEFXeuC5vM//fRTMqWZyWHt2rVrxYoVYWFhHOchKxSKq1evbt++fcqUKYmJicbGxm0OTQQCwQsvvMDuOD/77LPs7Gw9T/njjz9IDUsuhY20Wu2pU6e++OKLGzducJxolpqaum/fPnav/Morr7A3qK+vDw4O3r9//+3btzkurBMWFnb16lVmn76+vi4uLoZ/tTg6Os6aNYsdE9++fXv58uVc5mHV1NRcuXJFZ5U9YsCAAczPycnJv/32G3sVm8a5ntOnT5Osa6tKWbHHq3k83vfff8/95r5WGTFiBHuqWmpq6o4dO27evNncodbV1R0/fpy5xshmU6dOReQHAABNWr16NbsHDAkJuX37NnvGuqen5/Lly9l3Gk6fPv3XX3/lfi9hYmLikSNHDh061GSNTplMNmbMmNGjRzOPZGdnL126tMlenizYcuXKlR07doSFhT2mMpSNWVhYLFiwwM3NjYlv//zzz02bNnGfPF5SUnLx4sW9e/c2njWmUql27tx58ODBu3fv1tTUcNlbeHg4qRXAtIBOKbGsrKyvv/76yJEjcXFxXJpIrVYfO3YsKiqKiSe9vLz69OnTnkYTCoWrVq1in6OTJ09+8cUXeq6czMzM3bt3s1eUZqqUAIAhEKIJoItxdXX99NNP1Wr1hQsXmEDnyJEjd+7cmTNnjo+Pj7e3t5OTU5MdZ3p6+r0G+/bt059m4kggEDzzzDPskOv06dN2dnZz584dMWKEzn12iYmJ586d27VrFylK5ezsrFAoWpw7lp+fv2HDhp9++mnSpEn9+/f38PBwc3Pr3r174y0rKiquXLly6tQpptYSTdMuLi6k9AODpuns7Oy1a9cOHDjwlVde6d27N9lnk4Ng2dnZt27d2rdvHwk4SDfv5+fn4+Nj+JcKn88PCAhYvHjxv/71L3KCaJo+cuRIWVnZ9OnTfX19G4dNGo3m/v37iYmJcXFxmzdv/uabb8hqhmwLFy4k9cvIDr/44guapl999dXhw4frBIuxsbFXr179+OOPyaViYWGhUChqamq4JExlMtns2bN/+OEH8kIFBQUrVqyYOXOmhYWFTCZjzxlUqVSTJk3iWIqrMWdn5/nz50dGRqanp5N3dPny5bVr177xxhvjxo3r2bMne+OEhIRz587t378/KyuLyV5NmDDhtddeQwEsAABokpeXV1BQ0IkTJ5iu88svv3z66ae7detGNjAzM5sxY0Z8fPzx48dJf11RUTF37ty33norICBg0KBBzJZstbW1Dx48SE1NzcrKOn/+/Llz54KCgl599dUmj6Ffv34zZ86MjIysra0lx3Du3Ln6+vrp06cPHjzY1dWV3LlfUlKSnJwcGRn5888/3759m8fjTZo06dq1a5WVlaTvphs8poYaNGjQBx988NZbbzFR5Y4dO+7du/faa68NGjTIy8urcV9Pplbdv3//wYMHcXFx3377bV1d3cGDBxvvPCIiYufOncOGDXvuuec8PT179+7NvGsdubm5oaGhhw4dSktLYyKWuXPn2tvbszdTKpU3b9787LPPnn766cDAwF69evXu3btXr15GRkaN93nv3r1Lly4dOHCAxMCkDYcMGdKjR492NlpAQMBHH320ZcsWJtLbsmULCY2GDh3KvmNALpdfunTp5MmTzPQrchibNm0aOnQo/p0CIIEF8FhQFDV06NBNmzYJhcKzZ88y3VVaWtonn3zi6uo6bNgwFxcXCwsLU1NTiURC03RdXV11dXVJSUlGRkZ4eDi5iYwJRGpra9uz1EuvXr3WrFmzdetWpi8MDg6OjY0NCAiwt7c3NzfXarU1NTXFxcXx8fHMlHhfX19/f/9bt261mMAiWbD09PQvv/ySPNHDw8PZ2dnU1NTIyEgqlVIUVVtbW1VV9fDhwwsXLpDEHNMrf/31141rFpD0R2wDkUg0cuRINze3bt26mZqaymQyIyMjtVpdU1NTVlaWlpZ25coVMsOI7NPLy2v27NlNRicGyNLScsmSJQ8ePPj555+ZS+XcuXNhYWGjR4/28vKytrY2MTERi8VyuZxcJOnp6bdu3SJDuE1mhQICAoYMGRIZGUk1IIH4nTt3/P39HRwcjI2NNRpNdXV1QUFBZGQks/Kgr6/vjBkzli5dyv3Ip02b9sMPP5DDpijqVgOxWGxnZ8c+sMzMzPLy8vZMwn/66acXLlz44YcfMk105cqVxMTEcePGeXp6WlpaGhsbV1VVFRcXR0dHnz9/nj2/r3v37kuWLPH09MRHEwAANGfjxo0nTpxg8jJ37949e/bs3Llzmd7E1dV19erVxcXFV65cIZtVVVVt27bt5MmTTz31lLOzs4WFhZGRkVgsrqurq6+vJ5FVVlZWVFQUE0qJRKLmhoiEQmFQUFBUVNTevXvZnd2VK1cCAgLc3NysrKy0Wm1ZWVliYuKdO3eYJ65fv37WrFnMrXx8Pv/x3VEolUqnT59eUFCwYcMG5iD/ajB+/HgvLy97e3tjY2MjIyOVSlVfXy+Xy8vLy/Py8pKTk6Ojo8lObG1tmyxUSiKHiAZisXjEiBFkQJTEfhKJhMSrlZWV6enpR44cYYfKpqam7777buN6VaR0QGiDbt26DRkyxNnZ2c7OjhykRCJRKpUkuEpISAgNDWXXrxg3bhwp+9VORkZGc+bMiYuLO336NBOsbt++PTQ01N/f39HR0czMTKvVVlVV5eTknDt3jtw6ypzEyZMnM2v+AAASWACPBZ/PHzZs2DfffPPZZ5/t27ePiYdoms5owHRpUqmUpunG6wwy+R0LC4uVK1eSJVHaxsTEZM6cOTExMX/99RdJNJDakJGRkWT/pNfU6Wvfe++9bt263bp1i3vajrzBOw2YaMzExISiqPLy8sZb8ni8vXv3kglize2TpmmVSnW5AXlQIpGYmJioVCqdY2Za7IsvvvhnjVM5Ojru3LlTLpf/8ccfzKVSWVn5ZwNSPlYikVRVVXEpwE/8/PPPHh4eTGqJpmmSXSJnnCSwdJ6ydevWVs1RoijK399/7dq1mzdvZr+QUqlsvOZ0OxfbFggEy5Ytq6io2Lp1K9NExcXFx44dIxtYWVmxa9Wzr7F///vfOqsUAQAA6PDw8FiwYMH+/fuZiGL58uWvv/46e4KMj4/P7t27FyxYcOvWLfbwZFpaGtmA9Ne1tbXsopzsKEWj0eiZHmVpaUmqpv7+++/s0JGksZrr7n18fNgZK6FQ2ObCqVyYmZmtWrVKJBKtXbuWfZAXGpADMDMzU6lUjSMN0ghqtZq9XHKT2yiVSva7lkqlMplMq9WyS24xgR9ph4EDB+rfZ0FBAbuGprGxsVQqJRPPG8cP9vb2e/bsaXJiXRv07t37k08+IcUfmOOJakCWU9RqtcxqzuwY5oUXXvj3v//d5DQ0AOi0b/poAuiSKIpycnLau3cvyUE0OaNbLpeXlZWVl5c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} }, "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Examples\n", "\n", "- **classification**: a spam filter to classify new emails as spam / not spam based on past examples\n", "- **regression**: predicting housing prices based on property characteristics\n", "\n", "**Today, we'll walk through an end-to-end regression example to predict Philadelphia's housing prices** " ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Model-based learning\n", "\n", "- Select a model that can represent the data \n", "- Use the training data to identify the best model parameters (by minimizing a *cost function*)\n", "- Make predictions on new data — and hope that your model *generalizes* well to new data!\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Machine learning is really just an **optimization problem**\n", "\n", "Given your training set of data, which model parameters best represent the observed data?" ] }, { "attachments": { "Screen%20Shot%202019-11-13%20at%207.13.05%20PM.png": { "image/png": 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" } }, "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## 1. Choose a model\n", "\n", "" ] }, { "attachments": { "Screen%20Shot%202019-11-13%20at%207.19.30%20PM.png": { "image/png": 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" } }, "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## 2. The model has an associated cost function\n", "\n", "The *cost function* measures the difference between the model's predictions and the observed data\n", "\n", "" ] }, { "attachments": { "Screen%20Shot%202019-11-13%20at%207.29.15%20PM.png": { "image/png": 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} }, "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## 3. \"Learn\" the best model parameters\n", "\n", "In scikit-learn, you will call the `fit()` method on your algorithm.\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Recap: the steps involved\n", "\n", "1. Wrangle and understand data. \n", "1. Select a model that would be best for your dataset.\n", "1. Train the model on the training data — the learning algorithm searches for the best model parameters\n", "1. Apply the model to new data to make predictions.\n", "\n", "**Key goal: how we can do this in a way to ensure the model is as generalizable as possible?**" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## What could go wrong?\n", "\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Mistake #1: \"bad data\"\n", "\n", "Or: \"garbage in, garbage out\" \n", "\n", "**Common issues:**\n", "\n", "- Not enough training data\n", "- Training data isn't representative of the unseen data that you want to make predictions for\n", "- Poor quality data — errors, missing data, outliers\n", "- Poor features in the training set\n", " - You'll often hear the phrase *feature engineering* to describe the process of improving your input dataset: \n", " - Involves: feature selection, feature extraction, creating new features" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Mistake #2: \"bad algorithm\"\n", "\n", "- Overfitting the training data (more on this shortly)\n", " - model performs well, too well in fact, on the training set, and does not generalize well\n", " - model is **too complex** for your training set\n", "- Underfitting the training data\n", " - model is **not complex enough**\n", " - predictions will be inacurrate, but adding more model parameters (making it more complex) will help improve the accuracy" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Regularization: keeping it simple\n", "\n", "- We can *regularize* our model to prevent the model from getting too complex and avoid overfitting\n", "- Adds a penalty to the cost function that prevents parameters from getting too large\n", "- Can effectively think of regularization as forcing some model parameters to be close, not quite, zero" ] }, { "attachments": { "Screen%20Shot%202019-11-13%20at%208.03.17%20PM.png": { "image/png": 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" } }, "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Key question: How do we know if a model will perform well on new data?\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Crossing your fingers and hoping for the best is not the recommended strategy" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Option #1: a train/test split\n", "\n", "- Split your data into two sets: the *training set* and the *test set*\n", "- Train on the training set and test on the test set!\n", "- The accuracy on the test set provides a measure of how well your model generalizes\n", "\n", "Common to use 80% of data for your training set and 20% for your test set" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "- Still run the risk that you've selected the best model parameters for this **specific** training/test combination\n", "- For example: \n", " - Does the model work best on a 80/20 split, a 60/40 split, 70/30? How to decide the test/train split?\n", " - If you are using regularization, did your regularization strength parameter work only on this specific training set?" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Option #2: *k*-fold cross-validation\n", "\n", "1. Break the data into a training set and test set\n", "1. Split the training set into *k* subsets (or folds), holding out one subset as the test set\n", "1. Run the learning algorithm on each combination of subsets, using the average of all of the runs to find the best fitting model parameters\n", "\n", "For more information, see the [scikit-learn docs](https://scikit-learn.org/stable/modules/cross_validation.html)" ] }, { "attachments": { "grid_search_cross_validation.png": { "image/png": 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" } }, "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Let's try out a simple example: does money make people happier?\n", "\n", "We'll load data compiled from two data sources:\n", "- The *Better Life Index* from the [OECD's website](https://stats.oecd.org/index.aspx?DataSetCode=BLI)\n", "- GDP per capita from the [IMF's website](https://www.imf.org/external/pubs/ft/weo/2016/01/weodata/weorept.aspx?pr.x=32&pr.y=8&sy=2015&ey=2015&scsm=1&ssd=1&sort=country&ds=.&br=1&c=512,668,914,672,612,946,614,137,311,962,213,674,911,676,193,548,122,556,912,678,313,181,419,867,513,682,316,684,913,273,124,868,339,921,638,948,514,943,218,686,963,688,616,518,223,728,516,558,918,138,748,196,618,278,624,692,522,694,622,142,156,449,626,564,628,565,228,283,924,853,233,288,632,293,636,566,634,964,238,182,662,453,960,968,423,922,935,714,128,862,611,135,321,716,243,456,248,722,469,942,253,718,642,724,643,576,939,936,644,961,819,813,172,199,132,733,646,184,648,524,915,361,134,362,652,364,174,732,328,366,258,734,656,144,654,146,336,463,263,528,268,923,532,738,944,578,176,537,534,742,536,866,429,369,433,744,178,186,436,925,136,869,343,746,158,926,439,466,916,112,664,111,826,298,542,927,967,846,443,299,917,582,544,474,941,754,446,698,666&s=NGDPDPC&grp=0&a)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "data = pd.read_csv(\"./data/gdp_vs_satisfaction.csv\")\n", "data.head()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Make a quick plot\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "import hvplot.pandas" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "data.hvplot.scatter(\n", " x=\"gdp_per_capita\",\n", " y=\"life_satisfaction\",\n", " hover_cols=[\"Country\"],\n", " ylim=(4, 9),\n", " xlim=(1e3, 1.1e5),\n", ")" ] }, { "attachments": { "Screen%20Shot%202019-11-13%20at%208.19.26%20PM.png": { "image/png": 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" } }, "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## There's a roughly linear trend here...let's start there\n", "\n", "\n", "\n", "A simple model with only two parameters: $\\theta_1$ and $\\theta_2$" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Use the [LinearRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html) model object from scikit-learn.\n", "\n", "This is not *really* machine learning — it simply find the [Ordinary Least Squares](https://en.wikipedia.org/wiki/Ordinary_least_squares) fit to the data." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "from sklearn.linear_model import LinearRegression" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "model = LinearRegression()\n", "model" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# our input features (in this case we only have 1)\n", "X = data['gdp_per_capita'][:, np.newaxis]\n", "\n", "# the labels (values we are trying to predict)\n", "y = data['life_satisfaction'].values" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "**Note:** scikit learn expects the features to be a 2D array with shape: (number of observations, number of features). We are explicitly adding a second axis with the `np.newaxis` variable." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Now, fit the model using the `model.fit(X, y)` syntax. \n", "\n", "This will \"train\" our model, using an optimization algorithm to identify the bestfit parameters." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "model.fit(X, y)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "intercept = model.intercept_\n", "slope = model.coef_[0]\n", "\n", "print(f\"bestfit intercept = {intercept}\")\n", "print(f\"bestfit slope = {slope}\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## What's with the \"_\" at the end of variable names?\n", "\n", "These represent \"estimated\" properties of the model — this is how scikit learn signals to the user that these attributes depend on the `fit()` function being called beforehand.\n", "\n", "[More info](https://scikit-learn.org/stable/developers/contributing.html#estimated-attributes)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "**Note:** In this case, our model is the same as ordinary least squares, and no actually optimization is performed since an exact solution exists." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## How good is the fit?\n", "\n", "- Each scikit learn model has a built-in `score()` function that provides a score to evaluate the fit by.\n", "- In the case of the linear model, the score is the $R^2$ coefficient of the fit\n", "\n", "**Note:** you must call the `fit()` function before calling the `score()` function." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "Rsq = model.score(X, y)\n", "Rsq" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Let's plot the data and the predicted values\n", "\n", "Use the `predict()` function to predict new values." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# The values we want to predict (ranging from our min to max GDP per capita)\n", "gdp_pred = np.linspace(1e3, 1.1e5, 100)\n", "\n", "# Sklearn needs the second axis!\n", "X_pred = gdp_pred[:, np.newaxis]\n", "\n", "y_pred = model.predict(X_pred)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "with plt.style.context(\"fivethirtyeight\"):\n", "\n", " fig, ax = plt.subplots(figsize=(10, 6))\n", "\n", " # Plot the predicted values\n", " ax.plot(X_pred, y_pred, label=\"Predicted values\", color=\"#666666\")\n", "\n", " # Training data\n", " ax.scatter(\n", " data[\"gdp_per_capita\"],\n", " data[\"life_satisfaction\"],\n", " label=\"Training data\",\n", " s=100,\n", " zorder=10,\n", " color=\"#f40000\",\n", " )\n", "\n", " ax.legend()\n", " ax.set_xlabel(\"GDP Per Capita\")\n", " ax.set_ylabel(\"Life Satisfaction\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Not bad....but what did we do wrong?\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### 1. We also fit and evaluated our model on the same training set!\n", "\n", "### 2. We didn't scale our input data features!" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Scikit learn provides a utility function to split our input data:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# I'll use a 70/30% split\n", "train_set, test_set = train_test_split(data, test_size=0.3, random_state=42)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "These are new DataFrame objects, with lengths determined by the split percentage:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "print(\"size of full dataset = \", len(data))\n", "print(\"size of training dataset = \", len(train_set))\n", "print(\"size of test dataset = \", len(test_set))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Now, make our feature and label arrays:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Features\n", "X_train = train_set['gdp_per_capita'][:, np.newaxis]\n", "X_test = test_set['gdp_per_capita'][:, np.newaxis]\n", "\n", "# Labels\n", "y_train = train_set['life_satisfaction'].values\n", "y_test = test_set['life_satisfaction'].values" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Use the [`StandardScaler`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html) to scale the GDP per capita:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "from sklearn.preprocessing import StandardScaler" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "scaler = StandardScaler()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Scale the training features\n", "X_train_scaled = scaler.fit_transform(X_train)\n", "\n", "# Scale the test features\n", "X_test_scaled = scaler.fit_transform(X_test)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Now, let's fit on the *training set* and evaluate on the *test set*" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "model.fit(X_train_scaled, y_train)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "model.score(X_test_scaled, y_test)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "**Unsurprisingly, our fit gets worst when we test on unseen data**\n", "\n", "Our accuracy was artifically inflated the first time, since we trained and tested on the same data." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Can we do better? Let's do some feature engineering...\n", "\n", "We'll use scikit learn's [`PolynomialFeatures`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html) to add new polynomial features from the GDP per capita." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "from sklearn.preprocessing import PolynomialFeatures" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Let's try up to degree 3 polynomials ($x^3$)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "poly = PolynomialFeatures(degree=3)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Now we have two transformations to make:\n", "\n", "1. Scale our features\n", "1. Create the polynomial features" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Training\n", "X_train_scaled_poly = poly.fit_transform(scaler.fit_transform(X_train))\n", "\n", "# Test\n", "X_test_scaled_poly = poly.fit_transform(scaler.fit_transform(X_test))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "model.fit(X_train_scaled_poly, y_train)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "model.score(X_test_scaled_poly, y_test)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "**The accuracy improved!**" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Pipelines: making multiple transformations *much* easier\n", "\n", "We can turn our preprocessing steps into a [`Pipeline`](https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline) object using the [`make_pipeline()`](https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.make_pipeline.html#sklearn.pipeline.make_pipeline) function." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "from sklearn.pipeline import make_pipeline" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "pipe = make_pipeline(StandardScaler(), PolynomialFeatures(degree=3))\n", "\n", "pipe" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Individual steps can be accessed via their names in a dict-like fashion:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Step 1\n", "pipe['standardscaler']" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Step 2\n", "pipe['polynomialfeatures']" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Let's apply this pipeline to our predicted GDP values for our plot:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "y_pred = model.predict(pipe.fit_transform(X_pred))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "with plt.style.context(\"fivethirtyeight\"):\n", "\n", " fig, ax = plt.subplots(figsize=(10, 6))\n", "\n", " # Plot the predicted values\n", " y_pred = model.predict(pipe.fit_transform(X_pred))\n", " ax.plot(X_pred, y_pred, label=\"Predicted values\", color=\"#666666\")\n", "\n", " # Training data\n", " ax.scatter(\n", " data[\"gdp_per_capita\"],\n", " data[\"life_satisfaction\"],\n", " label=\"Training data\",\n", " s=100,\n", " zorder=10,\n", " color=\"#f40000\",\n", " )\n", "\n", " ax.legend()\n", " ax.set_xlabel(\"GDP Per Capita\")\n", " ax.set_ylabel(\"Life Satisfaction\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "**The additional polynomial features introduced some curvature and improved the fit!**" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## How about large polynomial degrees?" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "with plt.style.context(\"fivethirtyeight\"):\n", "\n", " fig, ax = plt.subplots(figsize=(10, 6))\n", "\n", " # Training data\n", " ax.scatter(\n", " data[\"gdp_per_capita\"],\n", " data[\"life_satisfaction\"],\n", " label=\"Training data\",\n", " s=100,\n", " zorder=10,\n", " color=\"#666666\",\n", " )\n", " \n", " # Plot the predicted values\n", " for degree in [3, 5, 10]:\n", " print(f\"degree = {degree}\")\n", " \n", " # Create out pipeline\n", " p = make_pipeline(StandardScaler(), PolynomialFeatures(degree=degree))\n", " \n", " # Fit the model on the training set\n", " model.fit(p.fit_transform(X_train), y_train)\n", " \n", " # Evaluate on the training set\n", " training_score = model.score(p.fit_transform(X_train), y_train)\n", " print(f\"Training Score = {training_score}\")\n", " \n", " # Evaluate on the test set\n", " test_score = model.score(p.fit_transform(X_test), y_test)\n", " print(f\"Test Score = {test_score}\")\n", " \n", " # Plot\n", " y_pred = model.predict(p.fit_transform(X_pred))\n", " ax.plot(X_pred, y_pred, label=f\"Degree = {degree}\")\n", " \n", " print()\n", "\n", " ax.legend(ncol=2, loc=0)\n", " ax.set_ylim(4, 9)\n", " ax.set_xlabel(\"GDP Per Capita\")\n", " ax.set_ylabel(\"Life Satisfaction\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Overfitting alert!\n", "\n", "As we increase the polynomial degree, two things happen:\n", "\n", "1. Training accuracy goes way up \n", "1. Test accuracy goes way down\n", " \n", "This is the classic case of overfitting — our model does not generalize well at all." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Regularization to the rescue?\n", "\n", "- The [`Ridge`](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html) adds regularization to the linear regression least squares model\n", "- Parameter $\\alpha$ determines the level of regularization\n", "- Larger values of $\\alpha$ mean stronger regularization — results in a \"simpler\" bestfit\n", "\n", "**Remember, regularization penalizes large parameter values and complex fits**" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "from sklearn.linear_model import Ridge" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Let's gain some intuition:\n", "\n", "- Fix the polynomial degree to 3\n", "- Try out alpha values of 0, 10, 100, and $10^5$\n", "- Compare to linear fit (no polynomial features)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Create a pre-processing pipeline\n", "pipe = make_pipeline(StandardScaler(), PolynomialFeatures(degree=3))\n", "\n", "# Setup and fit a linear model (with scaled features)\n", "linear = LinearRegression()\n", "scaler = StandardScaler()\n", "linear.fit(scaler.fit_transform(X_train), y_train)\n", "\n", "with plt.style.context(\"fivethirtyeight\"):\n", "\n", " fig, ax = plt.subplots(figsize=(10, 6))\n", "\n", " # The data\n", " ax.scatter(\n", " data[\"gdp_per_capita\"],\n", " data[\"life_satisfaction\"],\n", " label=\"Training data\",\n", " s=100,\n", " zorder=10,\n", " color=\"#666666\",\n", " )\n", "\n", " ## Linear fit results\n", " print(\"Linear fit\")\n", " training_score = linear.score(scaler.fit_transform(X_train), y_train)\n", " print(f\"Training Score = {training_score}\")\n", "\n", " test_score = linear.score(scaler.fit_transform(X_test), y_test)\n", " print(f\"Test Score = {test_score}\")\n", " print()\n", "\n", "\n", " # The linear fit\n", " ax.plot(\n", " X_pred,\n", " linear.predict(scaler.fit_transform(X_pred)),\n", " color=\"k\",\n", " label=\"Linear fit\",\n", " )\n", "\n", " # Plot the predicted values for each alpha\n", " for alpha in [0, 10, 100, 1e5]:\n", " print(f\"alpha = {alpha}\")\n", "\n", " # Create out Ridge model with this alpha\n", " ridge = Ridge(alpha=alpha)\n", "\n", " # Fit the model on the training set\n", " ridge.fit(pipe.fit_transform(X_train), y_train)\n", "\n", " # Evaluate on the training set\n", " training_score = ridge.score(pipe.fit_transform(X_train), y_train)\n", " print(f\"Training Score = {training_score}\")\n", "\n", " # Evaluate on the test set\n", " test_score = ridge.score(pipe.fit_transform(X_test), y_test)\n", " print(f\"Test Score = {test_score}\")\n", "\n", " # Plot\n", " y_pred = ridge.predict(pipe.fit_transform(X_pred))\n", " ax.plot(X_pred, y_pred, label=f\"alpha = {alpha}\")\n", "\n", " print()\n", "\n", " ax.legend(ncol=2, loc=0)\n", " ax.set_ylim(4, 9)\n", " ax.set_xlabel(\"GDP Per Capita\")\n", " ax.set_ylabel(\"Life Satisfaction\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Takeaways\n", "\n", "- As we increase alpha, the fits become \"simpler\" and coefficients get closer and closer to zero — a straight line!\n", "- When alpha = 0 (no regularization), we get the same result as when we ran `LinearRegression()` with the polynomial features\n", "- In this case, regularization doesn't improve the fit, and the base polynomial regression (degree=3) provides the best fit" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Recap: what we learned so far\n", "\n", "- The LinearRegression model\n", "- The test/train split and evaluation\n", "- Feature engineering: scaling and creating polynomial features\n", "- The Ridge model and regularization\n", "- Creating Pipeline() objects\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## How can we improve?\n", "\n", "More feature engineering!\n", "\n", "In this case, I've done the hard work for you and pulled additional country properties from the OECD's website." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "data2 = pd.read_csv(\"./data/gdp_vs_satisfaction_more_features.csv\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "data2.head()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Decision trees: a more sophisticated modeling algorithm\n", "\n", "We'll move beyond simple linear regression and see if we can get a better fit." ] }, { "attachments": { "1_WerHJ14JQAd3j8ASaVjAhw.jpeg": { "image/jpeg": 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} }, "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "A decision tree learns decision rules from the input features:\n", "\n", "" ] }, { "attachments": { "1_z4zWVweDtHJzq4Ky5eOAHg.png": { "image/png": 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" } }, "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## A decision tree classifier for the Iris data set\n", "\n", "\n", "\n", "\n", "[More info on the iris data set](https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html)" ] }, { "attachments": { "1_Edq1ZIOo26Iqp3CuUTWotA.png": { "image/png": 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} }, "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Regression with decision trees is similar\n", "\n", "For a specific corner of the input feature space, the decision tree predicts an output target value\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Decision trees suffer from overfitting\n", "\n", "Decision trees can be very deep with many nodes — this will lead to overfitting your dataset! " ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Random forests: an *ensemble* solution to overfitting\n", "\n", "- Introduces randomization into the fitting process to avoid overfitting\n", "- Fits multiple decision trees on random subsets of the input data\n", "- Avoids overfitting and leads to better overall fits\n", "\n", "This is an example of *ensemble* learning: combining multiple estimators to achieve better overall accuracy than any one model could achieve" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "from sklearn.ensemble import RandomForestRegressor" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Let's split our data into training and test sets again:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Split the data 70/30\n", "train_set, test_set = train_test_split(data2, test_size=0.3, random_state=42)\n", "\n", "# the target labels\n", "y_train = train_set[\"life_satisfaction\"].values\n", "y_test = test_set[\"life_satisfaction\"].values\n", "\n", "# The features\n", "feature_cols = [col for col in data2.columns if col not in [\"life_satisfaction\", \"Country\"]]\n", "X_train = train_set[feature_cols].values\n", "X_test = test_set[feature_cols].values" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Let's check for correlations in our input data\n", "\n", "- Highly correlated input variables can skew the model fits and lead to worse accuracy\n", "- Best to remove features with high correlations (rule of thumb: coefficients > 0.7 or 0.8, typically)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "import seaborn as sns" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "sns.heatmap(\n", " train_set[feature_cols].corr(), cmap=\"coolwarm\", annot=True, vmin=-1, vmax=1\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Let's do some fitting..." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Establish a baseline with a linear model:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "p = make_pipeline(StandardScaler())\n", "\n", "# Fit a linear model\n", "print(\"Linear regression\")\n", "linear = LinearRegression()\n", "linear.fit(p.fit_transform(X_train), y_train)\n", "\n", "# Print the training score\n", "training_score = linear.score(p.fit_transform(X_train), y_train)\n", "print(f\"Training Score = {training_score}\")\n", "\n", "# Print the test score\n", "test_score = linear.score(p.fit_transform(X_test), y_test)\n", "print(f\"Test Score = {test_score}\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Fit a random forest\n", "print(\"Random forest\")\n", "forest = RandomForestRegressor(n_estimators=100, max_depth=2)\n", "forest.fit(p.fit_transform(X_train), y_train)\n", "\n", "# Print the training score\n", "training_score = forest.score(p.fit_transform(X_train), y_train)\n", "print(f\"Training Score = {training_score}\")\n", "\n", "# Print the test score\n", "test_score = forest.score(p.fit_transform(X_test), y_test)\n", "print(f\"Test Score = {test_score}\")\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Which variables matter the most?\n", "\n", "Because random forests are an ensemble method with multiple estimators, the algorithm can learn which features help improve the fit the most.\n", "\n", "The *feature importances* are stored as the `feature_importances_` attribute (available after calling `fit()`)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Make the dataframe\n", "importance = pd.DataFrame(\n", " {\"Feature\": feature_cols, \"Importance\": forest.feature_importances_}\n", ")\n", "\n", "# Plot\n", "importance.hvplot.barh(\n", " x=\"Feature\", y=\"Importance\", title=\"Does Money Make You Happier?\"\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Let's improve our fitting with *k*-fold cross validation\n", "\n", "The [`cross_val_score`](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html#sklearn.model_selection.cross_val_score) will automatically partition the training set into *k* folds, fit the model to the subset, and return the scores for each partition." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "from sklearn.model_selection import cross_val_score" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "cross_val_score?" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Let's do 3-fold cross validation" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Make a linear pipeline\n", "linear = make_pipeline(StandardScaler(), LinearRegression())\n", "\n", "# Run the 3-fold cross validation\n", "scores = cross_val_score(\n", " linear,\n", " X_train,\n", " y_train,\n", " cv=3,\n", ")\n", "\n", "# Report\n", "print(\"R^2 scores = \", scores)\n", "print(\"Scores mean = \", scores.mean())\n", "print(\"Score std dev = \", scores.std())" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Make a random forest pipeline\n", "forest = make_pipeline(\n", " StandardScaler(), RandomForestRegressor(n_estimators=100, random_state=42)\n", ")\n", "\n", "# Run the 3-fold cross validation\n", "scores = cross_val_score(\n", " forest,\n", " X_train,\n", " y_train,\n", " cv=3,\n", ")\n", "\n", "# Report\n", "print(\"R^2 scores = \", scores)\n", "print(\"Scores mean = \", scores.mean())\n", "print(\"Score std dev = \", scores.std())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Takeaway: the random forest model is clearly more accurate" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Question: why did I choose to use 100 estimators in the RF model?\n", "\n", "- In this case, I didn't have a good reason\n", "- `n_estimators` is a model *hyperparameters*\n", "- In practice, it's best to optimize the hyperparameters **and** the model parameters `(via the fit() method)`" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "**This is when cross validation becomes very important**\n", "\n", "- Optimizing hyperparameters with a single train/test split means you are really optimizing based on your test set.\n", "- If you use cross validation, a final test set will always be held in reserve to do a final evaluation." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Enter GridSearchCV\n", "\n", "A utility function that will:\n", "- Iterate over a grid of hyperparameters\n", "- Perform *k*-fold cross validation\n", "- Return the parameter combination with the best overall score\n", "\n", "[More info](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "from sklearn.model_selection import GridSearchCV" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Let's do a search over the `n_estimators` parameter and the `max_depth` parameter:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Create our regression pipeline\n", "pipe = make_pipeline(StandardScaler(), RandomForestRegressor(random_state=42))\n", "pipe" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Make the grid of parameters to search\n", "# NOTE: you must prepend the name of the pipeline step\n", "model_name = \"randomforestregressor\"\n", "param_grid = {\n", " f\"{model_name}__n_estimators\": [5, 10, 15, 20, 30, 50, 100],\n", " f\"{model_name}__max_depth\": [2, 5, 7, 9, 13, 21, 33, 51],\n", "}\n", "\n", "param_grid" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": false, "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Create the grid and use 3-fold CV\n", "grid = GridSearchCV(pipe, param_grid, cv=3)\n", "\n", "# Run the search\n", "grid.fit(X_train, y_train)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# The best estimator\n", "grid.best_estimator_" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# The best hyper parameters\n", "grid.best_params_" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Now let's evaluate!\n", "\n", "We'll define a helper utility function to calculate the accuracy in terms of the mean absolute percent error" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "def evaluate(model, X_test, y_test):\n", " \"\"\"\n", " Given a model and test features/targets, print out the \n", " mean absolute error and accuracy\n", " \"\"\"\n", " # Make the predictions\n", " predictions = model.predict(X_test)\n", "\n", " # Absolute error\n", " errors = abs(predictions - y_test)\n", " avg_error = np.mean(errors)\n", "\n", " # Mean absolute percentage error\n", " mape = 100 * np.mean(errors / y_test)\n", "\n", " # Accuracy\n", " accuracy = 100 - mape\n", "\n", " print(\"Model Performance\")\n", " print(f\"Average Absolute Error: {avg_error:0.4f}\")\n", " print(f\"Accuracy = {accuracy:0.2f}%.\")\n", "\n", " return accuracy" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Linear model results" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Setup the pipeline\n", "linear = make_pipeline(StandardScaler(), LinearRegression())\n", "\n", "# Fit on train set\n", "linear.fit(X_train, y_train)\n", "\n", "# Evaluate on test set\n", "evaluate(linear, X_test, y_test)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Random forest results with default parameters" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Initialize the pipeline\n", "base_model = make_pipeline(StandardScaler(), RandomForestRegressor(random_state=42))\n", "\n", "# Fit the training set\n", "base_model.fit(X_train, y_train)\n", "\n", "# Evaluate on the test set\n", "base_accuracy = evaluate(base_model, X_test, y_test)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### The random forest model with the optimal hyperparameters" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Evaluate the best random forest model\n", "best_random = grid.best_estimator_\n", "random_accuracy = evaluate(best_random, X_test, y_test)\n", "\n", "# What's the improvement?\n", "improvement = 100 * (random_accuracy - base_accuracy) / base_accuracy\n", "print(f'Improvement of {improvement:0.2f}%.')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Recap\n", "\n", "- Decision trees and random forests\n", "- Cross validation with `cross_val_score`\n", "- Optimizing hyperparameters with `GridSearchCV`\n", "- Feature importances from random forests" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Part 2: Modeling residential sales in Philadelphia\n", "\n", "In this part, we'll use a random forest model and housing data from the Office of Property Assessment to predict residential sale prices in Philadelphia" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Machine learning models are increasingly common in the real estate industry\n", " - [Airbnb recommends pricing to hosts](https://spectrum.ieee.org/computing/software/the-secret-of-airbnbs-pricing-algorithm)\n", " - [Trulia converts house photos to house features](https://www.trulia.com/blog/tech/image-recognition/)\n", " - [Zillow's Zestimate](https://www.zillow.com/research/zestimate-forecast-methodology/)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## The hedonic approach to housing prices\n", "\n", "- An econometric approach\n", "- Deconstruct housing price to the value of each of its parts\n", "- Captures the \"price premium\" consumers are willing to pay for an extra bedroom or garage" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## What contributes to the price of a house?\n", "\n", "- Property characteristics, e.g, size of the lot and the number of bedrooms\n", "- Neighborhood features based on amenities or disamenities, e.g., access to transit or exposure to crime\n", "- Spatial component that captures the tendency of housing prices to depend on the prices of neighboring homes" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "**Note:** We'll focus on the first two components in this analysis (and in assignment #7)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Why are these kinds of models important?\n", "\n", "- They are used widely by cities to perform property assessment valuation\n", " - Train a model on recent residential sales\n", " - Apply the model to the entire residential housing stock to produce assessments\n", "- Biases in the algorithmic models have important consequences for city residents\n", "\n", "\n", "**Too often, these models perpetuate inequality: low-value homes are over-assessed and high-value homes are under-assessed**" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Philadelphia's assessments are...not good\n", "\n", "- [City Controller analysis of property assessments in Philadelphia](https://controller.phila.gov/philadelphia-audits/property-assessment-review/)\n", "- [Urban Spatial paper on algorithmic fairness with a case study on modeling Philadelphia's home values](https://urbanspatial.github.io/AlgorithmicFairness_ACodebasedPrimerForPublicSectorDataScientists)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Data from the Office of Property Assessment\n", "\n", "Let's download data for properties in Philadelphia that had their last sale during 2018.\n", "\n", "Sources: \n", "- [OpenDataPhilly](https://www.opendataphilly.org/dataset/opa-property-assessments)\n", "- [Metadata](http://metadata.phila.gov/#home/datasetdetails/5543865f20583086178c4ee5/representationdetails/55d624fdad35c7e854cb21a4/)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "import carto2gpd" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# the CARTO API url\n", "carto_url = \"https://phl.carto.com/api/v2/sql\"\n", "\n", "# The table name\n", "table_name = \"opa_properties_public\"\n", "\n", "# Only pull 2018 sales for single family residential properties\n", "where = \"sale_date >= '2018-01-01' and sale_date < '2019-01-01' and category_code_description = 'Single Family'\"\n", "\n", "# Run the query\n", "salesRaw = carto2gpd.get(carto_url, table_name, where=where)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "salesRaw.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "len(salesRaw)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## The OPA is messy\n", "\n", "**Lots** of missing data.\n", "\n", "We can use the [missingno](https://github.com/ResidentMario/missingno) package to visualize the missing data easily." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "import missingno as msno" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# We'll visualize the first half of columns and then the second half\n", "ncol = len(salesRaw.columns)\n", "\n", "fields1 = salesRaw.columns[:ncol//2]\n", "fields2 = salesRaw.columns[ncol//2:]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# The first half of columns\n", "msno.bar(salesRaw[fields1]);" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# The second half of columns\n", "msno.bar(salesRaw[fields2]);" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# The feature columns we want to use\n", "cols = [\n", " \"sale_price\",\n", " \"total_livable_area\",\n", " \"total_area\",\n", " \"garage_spaces\",\n", " \"fireplaces\",\n", " \"number_of_bathrooms\",\n", " \"number_of_bedrooms\",\n", " \"number_stories\",\n", " \"exterior_condition\",\n", " \"zip_code\",\n", "]\n", "\n", "# Trim to these columns and remove NaNs\n", "sales = salesRaw[cols].dropna()\n", "\n", "# Trim zip code to only the first five digits\n", "sales['zip_code'] = sales['zip_code'].astype(str).str.slice(0, 5)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Trim very low and very high sales\n", "valid = (sales['sale_price'] > 3000) & (sales['sale_price'] < 1e6)\n", "sales = sales.loc[valid]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "len(sales)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Let's focus on numerical features only first" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Split the data 70/30\n", "train_set, test_set = train_test_split(sales, test_size=0.3, random_state=42)\n", "\n", "# the target labels\n", "y_train = np.log(train_set[\"sale_price\"])\n", "y_test = np.log(test_set[\"sale_price\"])\n", "\n", "# The features\n", "feature_cols = [\n", " \"total_livable_area\",\n", " \"total_area\",\n", " \"garage_spaces\",\n", " \"fireplaces\",\n", " \"number_of_bathrooms\",\n", " \"number_of_bedrooms\",\n", " \"number_stories\",\n", "]\n", "X_train = train_set[feature_cols].values\n", "X_test = test_set[feature_cols].values" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Make a random forest pipeline\n", "forest = make_pipeline(\n", " StandardScaler(), RandomForestRegressor(n_estimators=100, random_state=42)\n", ")\n", "\n", "# Run the 10-fold cross validation\n", "scores = cross_val_score(\n", " forest,\n", " X_train,\n", " y_train,\n", " cv=10,\n", ")\n", "\n", "# Report\n", "print(\"R^2 scores = \", scores)\n", "print(\"Scores mean = \", scores.mean())\n", "print(\"Score std dev = \", scores.std())" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Fit on the training data\n", "forest.fit(X_train, y_train)\n", "\n", "# What's the test score?\n", "forest.score(X_test, y_test)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Test score slightly better \n", "\n", "Model appears to generalize reasonably well! (although we should also be optimizing hyperparameters to see if we can find additional improvements)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Which variables were most important?" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Extract the regressor from the pipeline\n", "regressor = forest[\"randomforestregressor\"]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Create the data frame of importances\n", "importance = pd.DataFrame(\n", " {\"Feature\": feature_cols, \"Importance\": regressor.feature_importances_}\n", ")\n", "importance.hvplot.barh(x=\"Feature\", y=\"Importance\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## How to handle categorical data?\n", "\n", "- We can use a technique called one-hot encoding\n", "- Represent each category as a vector of 1s and 0s" ] }, { "attachments": { "one-hot-encoding.png": { "image/png": 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" } }, "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## One-hot encoding in scikit learn\n", "\n", "- The [`OneHotEncoder`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html) object is a preprocessor that will perform the vectorization step\n", "- The [`ColumnTransformer`](https://scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html) object will help us apply different transformers to numerical and categorical columns" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "from sklearn.compose import ColumnTransformer\n", "from sklearn.preprocessing import OneHotEncoder" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Numerical columns\n", "num_cols = [\n", " \"total_livable_area\",\n", " \"total_area\",\n", " \"garage_spaces\",\n", " \"fireplaces\",\n", " \"number_of_bathrooms\",\n", " \"number_of_bedrooms\",\n", " \"number_stories\",\n", "]\n", "\n", "# Categorical columns\n", "cat_cols = [\"exterior_condition\", \"zip_code\"]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "OneHotEncoder?" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Set up the column transformer with two transformers\n", "# Scale the numerical columns and one-hot \n", "preprocessor = ColumnTransformer(\n", " transformers=[\n", " (\"num\", StandardScaler(), num_cols),\n", " (\"cat\", OneHotEncoder(handle_unknown=\"ignore\"), cat_cols),\n", " ]\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "**Note:** the `handle_unknown='ignore'` parameter ensures that if categories show up in our training set, but not our test set, no error will be raised." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Initialize the pipeline object, using the column transformer and the random forest regressor" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Initialize the pipeline\n", "# NOTE: only use 10 estimators here so it will run in a reasonable time\n", "regr = make_pipeline(\n", " preprocessor, RandomForestRegressor(n_estimators=10, random_state=42)\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Now, let's fit the model.\n", "\n", "**Important:**\n", "\n", "You must pass in the full training set DataFrame. We told scikit learn which column strings to extract in the ColumnTransformer, so it needs the DataFrame with named columns." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Fit the training set\n", "regr.fit(train_set, y_train);" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# What's the test score?\n", "regr.score(test_set, y_test)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Substantial improvement on test set when including ZIP codes\n", "\n", "**Takeaway:** neighborhood based effects play a crucial role in determining housing prices." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "**Note:** to fully validate the model we should run $k$-fold cross validation and optimize hyperparameters of the model as well..." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## But how crucial? Let's plot the importances\n", "\n", "\n", "But first, we need to know the column names! The one-hot encoder created a column for each category type..." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# The column transformer...\n", "preprocessor" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# The steps in the column transformer\n", "preprocessor.named_transformers_" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# The one-hot step\n", "ohe = preprocessor.named_transformers_['cat']\n", "\n", "ohe" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# One column for each category type!\n", "ohe_cols = ohe.get_feature_names()\n", "\n", "ohe_cols" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "# Full list of columns is numerical + one-hot\n", "features = num_cols + list(ohe_cols)\n", "\n", "features" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "regressor = regr[\"randomforestregressor\"]\n", "\n", "# Create the dataframe with importances\n", "importance = pd.DataFrame(\n", " {\"Feature\": features, \"Importance\": regressor.feature_importances_}\n", ")\n", "\n", "# Sort by importance and get the top 30\n", "# SORT IN DESCENDING ORDER\n", "importance = importance.sort_values(\"Importance\", ascending=False).iloc[:30]\n", "\n", "# Plot\n", "importance.hvplot.barh(\n", " x=\"Feature\", y=\"Importance\", height=700, flip_yaxis=True\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Takeaways\n", "\n", "- Number of bathrooms and area-based feature still important\n", "- ZIP codes for 19132 (Strawberry Mansion) and 19140 (North Philadelphia) most important" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Exercise (time permitting)\n", "\n", "There is certainly much more than can be done to try to improve the accuracy of the model on the test set. Some things to try/explore:\n", "\n", "- Run a $k$-fold cross validation analysis to ensure the model generalizes well \n", "- Use GridSearchCV to optimize some of the hyperparameters\n", "- Include additional property features from the original data set " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "celltoolbar": "Slideshow", "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }