{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Python for Signal Processing\n", "Danilo Greco, PhD - danilo.greco@uniparthenope.it - University of Naples Parthenope" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# TASK: Develop a kNN classifier from scratch\n", "The k-Nearest Neighbors algorithm is commonly available within the standard machine learning libraries, but implementing the algorithm from scratch is a good exercise to better understand important aspects of the approach and experiment your own variations.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# The approach\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### The k-Nearest Neighbors algorithm\n", "It is a very simple classification technique that is based on the similarity between records. The training dataset is stored upfront and, when a prediction is required, the algorithm identifies the $k$ most similar training records and returns either the most common class value, in case of classification, or the average, in case of regression.\n", "\n", "___\n", "\n", "In this workbook, we will be using the publicly available **Iris Dataset** that provides a multinomial classification problem for predicting the flower species from 4 characterizing features. \n", "\n", "This dataset and many others can be downloaded at https://archive.ics.uci.edu/ml/datasets.php\n", "\n", "The dataset, available in file `iris.csv`, is organized as follows:\n", "\n", "* Sepal length in cm\n", "* Sepal width in cm\n", "* Petal length in cm\n", "* Petal width in cm\n", "* Class\n", "\n", "We will also be using some accessory libraries (pandas, numpy) for easier loading the dataset and other array management operations." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### First Step: Analyze your dataset\n", "\n", "The next cell shows how to load a CSV into a pandas dataframe and print the first elements of the dataset." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sepal-lengthsepal-widthpetal-lengthpetal-widthclass
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
\n", "
" ], "text/plain": [ " sepal-length sepal-width petal-length petal-width 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": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "\n", "col_names = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'class']\n", "dataset = pd.read_csv('iris.csv', names=col_names)\n", "dataset.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The boxplots are useful for visualizing the statistical aspects of dataset features (for more details about boxplots, please refer to https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.boxplot.html) " ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from pandas.plotting import scatter_matrix\n", "\n", "color_wheel = {'Iris-setosa': \"red\", \n", " 'Iris-versicolor': \"green\", \n", " 'Iris-virginica': \"blue\"}\n", "colors = dataset['class'].map(lambda x: color_wheel.get(x))\n", "scatter_matrix(dataset, figsize=(15,8), diagonal='hist', c=colors)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Start creating the building blocks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We now need a function to calculate the euclidean distance $ \\it D$ between two vectors $ \\mathbf{\\alpha} = \\left[ \\alpha_1, \\alpha_2, \\cdots, \\alpha_n \\right] $ and $ \\mathbf{\\beta} = \\left[ \\beta_1, \\beta_2, \\cdots, \\beta_n \\right] $ as\n", "\n", "$$\n", "{\\it D} = \\sqrt{\\sum_{i=1}^{n} (\\alpha_i - \\beta_i)^2}\n", "$$\n", "\n", "To calculate the euclidean distance, at least two different approaches are possible: \n", "\n", "1. iteration over the items to sum the squared differences elementwise and then compute the square root\n", "2. use the dot product on the elementwise difference vector\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "def euclidean_distance(vect1, vect2):\n", " diff = vect1 - vect2\n", " edist = np.sqrt(np.dot(diff.T,diff)) \n", " return edist" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following cell provides an example on how to use the function with the iris dataset, where the expected result is about `0.538`:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.5385164807134502" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# the first index in iloc selects the row whereas the second one selects the columns\n", "euclidean_distance(np.array(dataset.iloc[0][0:4]),np.array(dataset.iloc[1][0:4]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The next step is defining a function to select the neighbors for a new data item. The function must create a list, ordered by distance, of the k closest training items. " ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "def get_neighbors(training_list, test_item, k_neighbors):\n", "# training_list: array of items selected as training\n", "# test_item: item to be tested with kNN\n", "# k_neighbors: number of neighbors to consider in classification\n", " deltas = list()\n", " # create a list of distances by iterating over all rows in the training set\n", " for ix, training_item in training_list.iterrows():\n", " dist = euclidean_distance(np.array(training_item[0:4]),np.array(test_item[0:4]))\n", " deltas.append([training_item, dist])\n", " # sort the list in ascending order\n", " deltas.sort(key=lambda x: x[1])\n", " \n", " # select the first k neighbors and return\n", " neighbors = list()\n", " for i in range(k_neighbors):\n", " neighbors.append(deltas[i][0])\n", " \n", " return neighbors" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now it's time to make a prediction, based on the **most represented class** among the neighbors. The algorithm must select the class labels from the list of neighbors and output the most frequent one.\n", "\n", "If two classes have equal occurrences the function must return **rejected** therefore we must define a new function to check that only one class has the max number of occurrences." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "def only_one_max(the_list, item):\n", " # create a dictionary with class names and the relevant occurrences\n", " d = dict((x,the_list.count(x)) for x in set(the_list))\n", " # make a list out of the counts from dictionary values\n", " llist = list(d.values())\n", " # create a dictionary of the occurrences of the counts\n", " dd = dict((x,llist.count(x)) for x in set(llist))\n", " # returns True if item has only one occurrence\n", " return dd[d[item]] == 1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following function returns a class prediction for the current test item or **rejected** if two or more classes have the maximum number of occurrences." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "def predict(training_list, test_item, k_neighbors):\n", "# training_list: array of items selected as training\n", "# test_item: item to be tested with kNN\n", "# k_neighbors: number of neighbors to consider in classification\n", "\n", " # retrieve the list of neighbors\n", " neighbors = get_neighbors(training_list, test_item, k_neighbors)\n", " # create a list of the neighbors' classes and find the most frequent one\n", " classes = [row[-1] for row in neighbors]\n", " prediction = max(set(classes), key=classes.count)\n", " # check if only one class has the max value\n", " if not only_one_max(classes, prediction):\n", " prediction = 'Rejected'\n", "\n", " return prediction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Putting it all together " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can now load the presets for training and test datasets that are available in the `iris_train.csv` and `iris_test.csv` files respectively. Use the code already presented inside this workbook." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "train_ds = pd.read_csv('iris_train.csv', names=col_names)\n", "test_ds = pd.read_csv('iris_test.csv', names=col_names)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following cell must generate a list of predictions to be compared with the ground truth available in the `class` column of the test dataset. Meanwhile, it is now possible to compute the classification rate, aka **accuracy**, according to the theory. The `results` dataframe contains the number of correctly assigned labels for each **k** value. " ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Confusion matrix for k = 1\n", "[[40 0 0]\n", " [ 0 34 6]\n", " [ 0 1 39]]\n", "\n", "Confusion matrix for k = 2\n", "[[40 0 0 0]\n", " [ 0 34 3 3]\n", " [ 0 1 38 1]\n", " [ 0 0 0 0]]\n", "\n", "Confusion matrix for k = 3\n", "[[40 0 0]\n", " [ 0 35 5]\n", " [ 0 1 39]]\n", "\n", "Confusion matrix for k = 4\n", "[[40 0 0 0]\n", " [ 0 29 5 6]\n", " [ 0 1 39 0]\n", " [ 0 0 0 0]]\n", "\n", "Confusion matrix for k = 5\n", "[[40 0 0]\n", " [ 0 30 10]\n", " [ 0 1 39]]\n", "\n", "Confusion matrix for k = 8\n", "[[40 0 0 0]\n", " [ 0 30 6 4]\n", " [ 0 1 35 4]\n", " [ 0 0 0 0]]\n", "\n", " correct_values accuracy\n", "k \n", "1 113 0.941667\n", "2 112 0.933333\n", "3 114 0.950000\n", "4 108 0.900000\n", "5 109 0.908333\n", "8 105 0.875000\n" ] } ], "source": [ "from sklearn.metrics import confusion_matrix \n", "# see https://scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html\n", "\n", "kays = [1,2,3,4,5,8] # list of neighbors to be tested to find the optima solution\n", "\n", "res = list()\n", "for k in kays:\n", " preds = list()\n", " for i in range(test_ds.index.size):\n", " p = predict(train_ds,test_ds.iloc[i],k)\n", " preds.append([p,k])\n", "\n", " predictions = pd.DataFrame(preds, columns=['class','k'])\n", " correct_count = sum(test_ds['class'] == predictions['class'])\n", " res.append([k,correct_count,correct_count/test_ds.index.size])\n", " \n", " # here we can print the confusion matrix\n", " cm = confusion_matrix(test_ds['class'],predictions['class'])\n", " print('Confusion matrix for k = '+str(k)+'\\n'+str(cm)+'\\n')\n", " \n", "results = pd.DataFrame(res, columns=['k','correct_values','accuracy'])\n", "results.set_index('k', inplace=True)\n", "print(results)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Note that if the confusion matrix has 4 rows and columns, the last colums refers to the rejected predictions.**" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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