{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Iris Classification" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As a first foray into the world of data science and machine learning, we will explore a simple classification problem: identify flowers (irises, to be exact) by their physical characteristics. The dataset can be found [here](https://archive.ics.uci.edu/ml/datasets/Iris).\n", "\n", "So, the very first thing we're going to want to do is download the dataset." ] }, { "cell_type": "code", "execution_count": 279, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "for i in iris.data iris.names;\n", "do\n", " wget -nv -nc https://archive.ics.uci.edu/ml/machine-learning-databases/iris/$i\n", "done" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's take a peek to see what it looks like:" ] }, { "cell_type": "code", "execution_count": 280, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "=== iris.data ===\n", "5.1,3.5,1.4,0.2,Iris-setosa\n", "4.9,3.0,1.4,0.2,Iris-setosa\n", "4.7,3.2,1.3,0.2,Iris-setosa\n", "4.6,3.1,1.5,0.2,Iris-setosa\n", "5.0,3.6,1.4,0.2,Iris-setosa\n", "5.4,3.9,1.7,0.4,Iris-setosa\n", "4.6,3.4,1.4,0.3,Iris-setosa\n", "5.0,3.4,1.5,0.2,Iris-setosa\n", "4.4,2.9,1.4,0.2,Iris-setosa\n", "4.9,3.1,1.5,0.1,Iris-setosa\n", "\n", "=== iris.names ===\n", "1. Title: Iris Plants Database\n", "\tUpdated Sept 21 by C.Blake - Added discrepency information\n", "\n", "2. Sources:\n", " (a) Creator: R.A. Fisher\n", " (b) Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n", " (c) Date: July, 1988\n", "\n", "3. Past Usage:\n", " - Publications: too many to mention!!! Here are a few.\n", "\n" ] } ], "source": [ "%%bash\n", "for i in iris.data iris.names;\n", "do\n", " echo === $i ===\n", " head $i\n", " echo\n", "done" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So the `iris.names` file contains the description of the dataset, while `iris.data` IS the dataset. I won't reiterate everything in the file, but here are the important points:\n", "* The 5 features in the dataset are 1) sepal length in cm, 2) sepal width in cm, 3) petal length in cm, 4) petal width in cm, 5) class (one of Iris Setosa, Iris Versicolour, Iris Virginica)\n", "* There are 150 feature vectors, with 50 from each class (so the data is balanced)\n", "Let's load the data into pandas so that we can manipulate it." ] }, { "cell_type": "code", "execution_count": 281, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SepLenSepWidPetLenPetWidClass
05.13.51.40.2Iris-setosa
14.93.01.40.2Iris-setosa
24.73.21.30.2Iris-setosa
34.63.11.50.2Iris-setosa
45.03.61.40.2Iris-setosa
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" ], "text/plain": [ " SepLen SepWid PetLen PetWid Class\n", "0 5.1 3.5 1.4 0.2 Iris-setosa\n", "1 4.9 3.0 1.4 0.2 Iris-setosa\n", "2 4.7 3.2 1.3 0.2 Iris-setosa\n", "3 4.6 3.1 1.5 0.2 Iris-setosa\n", "4 5.0 3.6 1.4 0.2 Iris-setosa" ] }, "execution_count": 281, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "data = pd.read_csv(\"iris.data\", names=[\"SepLen\", \"SepWid\", \"PetLen\", \"PetWid\", \"Class\"])\n", "data.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's take a look at the data for the different classes using a parallel coordinates plot and some histograms of the features and their correlations." ] }, { "cell_type": "code", "execution_count": 282, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from pandas.plotting import parallel_coordinates, scatter_matrix\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "fig = plt.figure()\n", "ax = plt.subplot2grid((2,4), (0,0), colspan=2, rowspan=2)\n", "parallel_coordinates(data, class_column=\"Class\", color=('r','g','b'), ax=ax)\n", "for key, coord in zip(data.columns, [(0,2), (0,3), (1,2), (1,3)]):\n", " ax = plt.subplot2grid((2,4), coord)\n", " ax.set_title(key)\n", " data[key].hist(ax=ax)\n", "fig.subplots_adjust(right=1.75, wspace=0.3,hspace=0.4)" ] }, { "cell_type": "code", "execution_count": 283, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.pairplot(data, hue=\"Class\", palette=('r','g','b'), height=2)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see some clustering at this point - the Iris-setosa class is readily identifiable by the significantly smaller petal length and width, but the other two classes are have quite a bit of overlap and we'll probably have a tough time separating them. There also seems to be a high degree of correlation between some of the features.\n", "\n", "In order to test our classification methods, we'll separate the dataset into training, validation, and test sets after shuffling." ] }, { "cell_type": "code", "execution_count": 455, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "np.random.seed(123)\n", "\n", "# Shuffle the data\n", "data_shuffled = data.sample(frac=1)\n", "\n", "# Relabel the classes to something numerical\n", "for i, c in enumerate([\"Iris-setosa\", \"Iris-versicolor\", \"Iris-virginica\"]):\n", " data_shuffled[\"Class\"] = data_shuffled[\"Class\"].where(data_shuffled[\"Class\"] != c, i)\n", "data_shuffled[\"Class\"] = data_shuffled[\"Class\"].astype(int)\n", "\n", "# Split into training/validation/test sets with 60/20/20 split\n", "# Normalize data\n", "i1 = np.around(len(data)*0.60).astype(int)\n", "X_train = np.array(data_shuffled.iloc[:i1,:-1])\n", "mean, std = np.mean(X_train, axis=0), np.std(X_train, axis=0)\n", "X_train = (X_train - mean)/std\n", "y_train = np.array(data_shuffled.iloc[:i1,-1])\n", "i2 = np.around(len(data)*(0.60+0.20)).astype(int)\n", "X_val = (np.array(data_shuffled.iloc[i1:i2,:-1]) - mean)/std\n", "y_val = np.array(data_shuffled.iloc[i1:i2,-1])\n", "X_test = (np.array(data_shuffled.iloc[i2:,:-1]) - mean)/std\n", "y_test = np.array(data_shuffled.iloc[i2:,-1])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, as a first step, we'll build a linear classification model using logistic regression." ] }, { "cell_type": "code", "execution_count": 456, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "LogisticRegression(C=1, class_weight=None, dual=False, fit_intercept=True,\n", " intercept_scaling=1, max_iter=100, multi_class='multinomial',\n", " n_jobs=1, penalty='l2', random_state=None, solver='newton-cg',\n", " tol=0.0001, verbose=0, warm_start=False)" ] }, "execution_count": 456, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import sklearn as skl\n", "from sklearn.linear_model import LogisticRegression\n", "model1 = LogisticRegression(penalty='l2', solver='newton-cg', multi_class=\"multinomial\", C=1)\n", "model1.fit(X=X_train, y=y_train)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's take a look at how we're doing with the training/validation accuracy." ] }, { "cell_type": "code", "execution_count": 457, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Training accuracy: 0.9666666666666667\n", "Validation accuracy: 0.9666666666666667\n" ] } ], "source": [ "print(\"Training accuracy: \", model1.score(X_train, y_train))\n", "print(\"Validation accuracy: \", model1.score(X_val, y_val))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Woah; doing pretty well! 100% validation accuracy ain't bad! Guess the data is actually separable. The only hyperparameter we need to tune here is C (the model capacity), and changing it doesn't seem to have any effect whatsoever, so we'll just leave it at the default value of 1.\n", "\n", "Let's also try this out with a couple other models, such as SVM and decision trees, to get a good idea of what other options we have." ] }, { "cell_type": "code", "execution_count": 487, "metadata": {}, "outputs": [], "source": [ "from sklearn.svm import SVC\n", "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.neighbors import KNeighborsClassifier as KNN\n", "from sklearn.ensemble import GradientBoostingClassifier\n", "\n", "# Define models\n", "models = {1: model1}\n", "models[2] = SVC(C=10, kernel='rbf', gamma=.1) # SVM with radial basis kernel\n", "models[3] = DecisionTreeClassifier(criterion='gini', splitter='best') # Decision tree\n", "models[4] = KNN(n_neighbors=5, algorithm='auto', p=1) # KNN with Manhattan metric\n", "models[5] = GradientBoostingClassifier() # Gradient boosted tree\n", "\n", "# Fit models\n", "for m in models:\n", " models[m].fit(X_train, y_train)" ] }, { "cell_type": "code", "execution_count": 488, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model 1, validation accuracy: 0.967\n", " precision recall f1-score support\n", "\n", " class 0 1.00 1.00 1.00 11\n", " class 1 1.00 0.92 0.96 13\n", " class 2 0.86 1.00 0.92 6\n", "\n", "avg / total 0.97 0.97 0.97 30\n", "\n", "Model 2, validation accuracy: 0.967\n", " precision recall f1-score support\n", "\n", " class 0 1.00 1.00 1.00 11\n", " class 1 1.00 0.92 0.96 13\n", " class 2 0.86 1.00 0.92 6\n", "\n", "avg / total 0.97 0.97 0.97 30\n", "\n", "Model 3, validation accuracy: 0.967\n", " precision recall f1-score support\n", "\n", " class 0 1.00 1.00 1.00 11\n", " class 1 1.00 0.92 0.96 13\n", " class 2 0.86 1.00 0.92 6\n", "\n", "avg / total 0.97 0.97 0.97 30\n", "\n", "Model 4, validation accuracy: 0.967\n", " precision recall f1-score support\n", "\n", " class 0 1.00 1.00 1.00 11\n", " class 1 1.00 0.92 0.96 13\n", " class 2 0.86 1.00 0.92 6\n", "\n", "avg / total 0.97 0.97 0.97 30\n", "\n", "Model 5, validation accuracy: 0.967\n", " precision recall f1-score support\n", "\n", " class 0 1.00 1.00 1.00 11\n", " class 1 1.00 0.92 0.96 13\n", " class 2 0.86 1.00 0.92 6\n", "\n", "avg / total 0.97 0.97 0.97 30\n", "\n" ] } ], "source": [ "for m in models:\n", " print(\"Model {}, validation accuracy: {:.3f}\".format(m, models[m].score(X_val, y_val)))\n", " y_true = y_val\n", " y_pred = models[m].predict(X_val)\n", " target_names = [\"class 0\", \"class 1\", \"class 2\"]\n", " print(skl.metrics.classification_report(y_true, y_pred, target_names=target_names))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "All models seem to be doing fairly well. We can see that there is no trouble at all identifying class 0 (Iris-setosa), but some small issues separating classes 1/2. Full disclosure - the first time I did this analysis I set the numpy seed to 0, which gave me slightly worse results, probably due to the data split. Turns out the random seed is also a hyperparameter that can be tuned!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The held-out test set has similar results:" ] }, { "cell_type": "code", "execution_count": 490, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model 1, test accuracy: 0.933\n", " precision recall f1-score support\n", "\n", " class 0 1.00 1.00 1.00 6\n", " class 1 0.91 0.91 0.91 11\n", " class 2 0.92 0.92 0.92 13\n", "\n", "avg / total 0.93 0.93 0.93 30\n", "\n", "Model 2, test accuracy: 0.967\n", " precision recall f1-score support\n", "\n", " class 0 1.00 1.00 1.00 6\n", " class 1 1.00 0.91 0.95 11\n", " class 2 0.93 1.00 0.96 13\n", "\n", "avg / total 0.97 0.97 0.97 30\n", "\n", "Model 3, test accuracy: 0.900\n", " precision recall f1-score support\n", "\n", " class 0 1.00 1.00 1.00 6\n", " class 1 0.83 0.91 0.87 11\n", " class 2 0.92 0.85 0.88 13\n", "\n", "avg / total 0.90 0.90 0.90 30\n", "\n", "Model 4, test accuracy: 0.933\n", " precision recall f1-score support\n", "\n", " class 0 1.00 1.00 1.00 6\n", " class 1 0.91 0.91 0.91 11\n", " class 2 0.92 0.92 0.92 13\n", "\n", "avg / total 0.93 0.93 0.93 30\n", "\n", "Model 5, test accuracy: 0.933\n", " precision recall f1-score support\n", "\n", " class 0 1.00 1.00 1.00 6\n", " class 1 0.91 0.91 0.91 11\n", " class 2 0.92 0.92 0.92 13\n", "\n", "avg / total 0.93 0.93 0.93 30\n", "\n" ] } ], "source": [ "for m in models:\n", " print(\"Model {}, test accuracy: {:.3f}\".format(m, models[m].score(X_test, y_test)))\n", " y_true = y_test\n", " y_pred = models[m].predict(X_test)\n", " target_names = [\"class 0\", \"class 1\", \"class 2\"]\n", " print(skl.metrics.classification_report(y_true, y_pred, target_names=target_names))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Of all the classifiers, it looks like the SVM (model 2) is perhaps the best, with precision, recall, F1, and accuracy scores of 0.97 across the board on both the validation and test set.\n", "\n", "So this was a nice, quick little problem. It didn't offer much in the way of difficulty, but that's to be expected, I suppose. We got in a little practice with file manipulation in bash, a number of python libraries (numpy, pandas, matplotlib, seaborn, scikit-learn), and got a very fine result! Future problems will likely be much more difficult!" ] } ], "metadata": { "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": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }