diff --git a/IP_Kernel_Assignment.ipynb b/IP_Kernel_Assignment.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..ece13ee3f325db8edcd0fda89c92b6ee90300b66 --- /dev/null +++ b/IP_Kernel_Assignment.ipynb @@ -0,0 +1 @@ +{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"IP_Kernel_Assignment.ipynb","provenance":[],"collapsed_sections":[]},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","metadata":{"id":"9x-OLsZ5Jqfs"},"source":["# Kernels Tutorial\n","\n","Support vector machines (SVM) are classification models which base their decisions on the kernel type. In this project we use the SVM model within the sklearn library. The documentation for this library is available at https://scikit-learn.org/stable/modules/svm.html"]},{"cell_type":"code","metadata":{"id":"-HuQhRzvnHv8","executionInfo":{"status":"ok","timestamp":1636667534470,"user_tz":-120,"elapsed":253,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}}},"source":["# Original Code source: Gaël Varoquaux & Andreas Müller\n","# Modified for documentation by Jaques Grobler\n","# Edited for course project by Joel Sjöberg and Ion Petre\n","# License: BSD 3 clause\n","\n","# Libraries\n","import numpy as np\n","import matplotlib.pyplot as plt\n","from sklearn.datasets import make_moons\n","from sklearn.model_selection import train_test_split\n","# For data standardization\n","from sklearn.preprocessing import StandardScaler"],"execution_count":2,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"dS175ovknY5M"},"source":["We will see how the kernels are used to form decision boundaries for a simple dataset. We will use the \"make_moons\" method for generating a dataset."]},{"cell_type":"code","metadata":{"id":"bAbTIehEnXrj","colab":{"base_uri":"https://localhost:8080/","height":265},"executionInfo":{"status":"ok","timestamp":1636667535501,"user_tz":-120,"elapsed":5,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"050fa5e4-31ce-4625-d9fc-d53fe071db37"},"source":["# Generate dataset\n","X, y = make_moons(noise=0.2, random_state=0, n_samples = 1000)\n","\n","# Split into training and test sets\n","X_train, X_test, y_train, y_test = train_test_split(\n"," X, y, test_size=0.3, random_state=42\n",")\n","\n","# Create an instance of the standardization scaler\n","std_scaler = StandardScaler()\n","\n","# Standardize the training data to mean 0 and standard deviation 1.\n","# We get this through fitting the scaler to the training data.\n","X_train = std_scaler.fit_transform(X_train)\n","\n","# Use the same scaler to transform the test data. \n","# This is needed because the model will be trained on standardized data.\n","# Even for novel \"production\" data, we will have to apply the same standardization.\n","# Note that the scaler isn't fit again on the test data!!\n","X_test = std_scaler.transform(X_test)\n","\n","# Scatter the training points according to their category\n","plt.scatter(X_train[:, 0], X_train[:, 1], c=y_train, s=30, cmap=plt.cm.Paired)\n","plt.show()"],"execution_count":3,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"mCqvfoPEpqCO","executionInfo":{"status":"ok","timestamp":1636667535874,"user_tz":-120,"elapsed":2,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}}},"source":[""],"execution_count":3,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"1Yhe-lwowD5o"},"source":["## Creating a model\n","\n","We now create a model to categorize the dataset. We begin with a linear kernel model."]},{"cell_type":"code","metadata":{"id":"Bnmup7RYD6bu","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1636667537705,"user_tz":-120,"elapsed":390,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"8a326bea-8805-4cb6-c88e-ec2dc2820099"},"source":["# Import the support vector classifier \n","from sklearn.svm import SVC\n","\n","# Fit a linear support vector classifier\n","clf = SVC(kernel=\"linear\", C=1.0, random_state = 0)\n","clf.fit(X_train, y_train)\n","\n","# Measure accuracy on the train data\n","print(\"Accuracy on the training set:\", clf.score(X_train, y_train))"],"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy on the training set: 0.88\n"]}]},{"cell_type":"code","metadata":{"id":"NMrxM5f5Exju","colab":{"base_uri":"https://localhost:8080/","height":265},"executionInfo":{"status":"ok","timestamp":1636667538984,"user_tz":-120,"elapsed":730,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"de1b8c42-0d0a-4b50-ace6-232a0149f38a"},"source":["# Plot the decision boundary and the support vectors\n","\n","plt.scatter(X_train[:, 0], X_train[:, 1], c=y_train, s=30, cmap=plt.cm.Paired)\n","\n","# plot the decision function\n","ax = plt.gca()\n","xlim = ax.get_xlim()\n","ylim = ax.get_ylim()\n","\n","# create grid to evaluate model\n","xx = np.linspace(xlim[0], xlim[1], 30)\n","yy = np.linspace(ylim[0], ylim[1], 30)\n","YY, XX = np.meshgrid(yy, xx)\n","xy = np.vstack([XX.ravel(), YY.ravel()]).T\n","Z = clf.decision_function(xy).reshape(XX.shape)\n","\n","# plot decision boundary and margins\n","ax.contour(\n"," XX, YY, Z, colors=\"k\", levels=[-1, 0, 1], alpha=0.5, linestyles=[\"--\", \"-\", \"--\"]\n",")\n","# plot support vectors\n","ax.scatter(\n"," clf.support_vectors_[:, 0],\n"," clf.support_vectors_[:, 1],\n"," s=100,\n"," linewidth=1,\n"," facecolors=\"none\",\n"," edgecolors=\"k\",\n",")\n","plt.show()"],"execution_count":5,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"GpT4DY-n5XZW"},"source":["Let's try now a polynomial kernel. We will get better results."]},{"cell_type":"code","metadata":{"id":"MTIWfjlT5WfG","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1636667585673,"user_tz":-120,"elapsed":238,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"c7081f0d-6a1a-4b9e-81ba-36bec0002453"},"source":["# Initialize model\n","# Suggestion: try several different degrees in the kernel by modifying the parameter \"degree\"\n","pol_model = SVC(kernel=\"poly\", degree=3, C=1.0, random_state = 0)\n","\n","# Train the model\n","pol_model.fit(X_train, y_train)\n","\n","# Measure accuracy on the training data\n","print(\"Accuracy on the training set:\", pol_model.score(X_train, y_train))"],"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy on the training set: 0.9\n"]}]},{"cell_type":"code","metadata":{"id":"Mo3_J7_IIzpD","colab":{"base_uri":"https://localhost:8080/","height":265},"executionInfo":{"status":"ok","timestamp":1636666526980,"user_tz":-120,"elapsed":14,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"a44f9d35-c2bd-4339-beb4-8be92fe14fc3"},"source":["# Plot the decision boundary and the support vectors\n","\n","plt.scatter(X_train[:, 0], X_train[:, 1], c=y_train, s=30, cmap=plt.cm.Paired)\n","\n","# plot the decision function\n","ax = plt.gca()\n","xlim = ax.get_xlim()\n","ylim = ax.get_ylim()\n","\n","# create grid to evaluate model\n","xx = np.linspace(xlim[0], xlim[1], 30)\n","yy = np.linspace(ylim[0], ylim[1], 30)\n","YY, XX = np.meshgrid(yy, xx)\n","xy = np.vstack([XX.ravel(), YY.ravel()]).T\n","Z = pol_model.decision_function(xy).reshape(XX.shape)\n","\n","# plot decision boundary and margins\n","ax.contour(\n"," XX, YY, Z, colors=\"k\", levels=[-1, 0, 1], alpha=0.5, linestyles=[\"--\", \"-\", \"--\"]\n",")\n","# plot support vectors\n","ax.scatter(\n"," pol_model.support_vectors_[:, 0],\n"," pol_model.support_vectors_[:, 1],\n"," s=100,\n"," linewidth=1,\n"," facecolors=\"none\",\n"," edgecolors=\"k\",\n",")\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"4kstXR36SL3P"},"source":["Let's try now the Radial Basis Function kernel (RBF). We will get even better results (which was to be expected, given the elyptic distribution of the datapoints)."]},{"cell_type":"code","metadata":{"id":"fMX1iV6m58Fo","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1636667611221,"user_tz":-120,"elapsed":239,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"ff2fe5a4-b513-49b0-e5b4-d1ef70385d88"},"source":["# Initialize model\n","rbf_model = SVC(kernel=\"rbf\", C=1.0, gamma = 2, random_state = 0)\n","\n","# Train the model\n","rbf_model.fit(X_train, y_train)\n","\n","# Measure accuracy on the training data\n","print(\"Accuracy on the training set:\", rbf_model.score(X_train, y_train))"],"execution_count":12,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy on the training set: 0.97\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_iFBrmHB_k4j","executionInfo":{"status":"ok","timestamp":1636667659526,"user_tz":-120,"elapsed":245,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"ff784cc4-f91b-4e03-f40a-9da242779efa"},"source":["rbf_model.score(X_test, y_test)"],"execution_count":13,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.9533333333333334"]},"metadata":{},"execution_count":13}]},{"cell_type":"code","metadata":{"id":"C0ZhRwPRJwKK","colab":{"base_uri":"https://localhost:8080/","height":265},"executionInfo":{"status":"ok","timestamp":1636666527734,"user_tz":-120,"elapsed":12,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"4d751855-425b-4631-9746-e9e70a9a75b3"},"source":["# Plot the decision boundary and the support vectors\n","\n","plt.scatter(X_train[:, 0], X_train[:, 1], c=y_train, s=30, cmap=plt.cm.Paired)\n","\n","# plot the decision function\n","ax = plt.gca()\n","xlim = ax.get_xlim()\n","ylim = ax.get_ylim()\n","\n","# create grid to evaluate model\n","xx = np.linspace(xlim[0], xlim[1], 30)\n","yy = np.linspace(ylim[0], ylim[1], 30)\n","YY, XX = np.meshgrid(yy, xx)\n","xy = np.vstack([XX.ravel(), YY.ravel()]).T\n","Z = rbf_model.decision_function(xy).reshape(XX.shape)\n","\n","# plot decision boundary and margins\n","ax.contour(\n"," XX, YY, Z, colors=\"k\", levels=[-1, 0, 1], alpha=0.5, linestyles=[\"--\", \"-\", \"--\"]\n",")\n","# plot support vectors\n","ax.scatter(\n"," rbf_model.support_vectors_[:, 0],\n"," rbf_model.support_vectors_[:, 1],\n"," s=100,\n"," linewidth=1,\n"," facecolors=\"none\",\n"," edgecolors=\"k\",\n",")\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"h0otdsrh45NN"},"source":["Conclusion: the RBF kernel is the best in this example, the decision boundary follows the data quite faithfully."]},{"cell_type":"markdown","metadata":{"id":"BWNxzO5sJu8o"},"source":["# Kernels Project\n","\n","Let's load a simple income dataset. Each data point is an individual with various features such as age, education, marital status, native country, number of work hours per week, etc. The target value is 1 if the person earns 50k per year or more, 0 otherwise. The dataset is available in the Penn Machine Learning Benchmarks library. Information about this collection can be found at https://github.com/EpistasisLab/pmlb"]},{"cell_type":"code","metadata":{"id":"iXejdmCNOnrm","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1636666531103,"user_tz":-120,"elapsed":3379,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"b959fa63-dd6b-4b01-db9e-5b26f8457b3e"},"source":["# Install the pmlb library on this runtime\n","!pip install pmlb\n","import pmlb"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: pmlb in /usr/local/lib/python3.7/dist-packages (1.0.1.post3)\n","Requirement already satisfied: requests>=2.24.0 in /usr/local/lib/python3.7/dist-packages (from pmlb) (2.26.0)\n","Requirement already satisfied: pandas>=1.0.5 in /usr/local/lib/python3.7/dist-packages (from pmlb) (1.1.5)\n","Requirement already satisfied: pyyaml>=5.3.1 in /usr/local/lib/python3.7/dist-packages (from pmlb) (6.0)\n","Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas>=1.0.5->pmlb) (2018.9)\n","Requirement already satisfied: numpy>=1.15.4 in /usr/local/lib/python3.7/dist-packages (from pandas>=1.0.5->pmlb) (1.19.5)\n","Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=1.0.5->pmlb) (2.8.2)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=1.0.5->pmlb) (1.15.0)\n","Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.7/dist-packages (from requests>=2.24.0->pmlb) (2.0.7)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.24.0->pmlb) (2021.10.8)\n","Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.24.0->pmlb) (1.24.3)\n","Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.24.0->pmlb) (2.10)\n"]}]},{"cell_type":"markdown","metadata":{"id":"OSebwFfQt_nn"},"source":["Link to dataset metadata (feature descriptions) : https://github.com/EpistasisLab/pmlb/blob/master/datasets/adult/metadata.yaml"]},{"cell_type":"code","metadata":{"id":"NWjYHeSNPIWs","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1636666532496,"user_tz":-120,"elapsed":1398,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"dc019640-b659-4ccb-92f7-f1b59da289e3"},"source":["#import pandas as pd\n","#pd.set_option('display.max_columns', None)\n","\n","# Get the \"adult\" dataset\n","frame = pmlb.fetch_data(\"adult\")\n","\n","# Print the head of the resulting dataframe\n","print(frame.head(10))\n","\n","# Print the name of the features in the data\n","print(frame.columns)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":[" age workclass fnlwgt ... hours-per-week native-country target\n","0 39.0 7 77516.0 ... 40.0 39 1\n","1 50.0 6 83311.0 ... 13.0 39 1\n","2 38.0 4 215646.0 ... 40.0 39 1\n","3 53.0 4 234721.0 ... 40.0 39 1\n","4 28.0 4 338409.0 ... 40.0 5 1\n","5 37.0 4 284582.0 ... 40.0 39 1\n","6 49.0 4 160187.0 ... 16.0 23 1\n","7 52.0 6 209642.0 ... 45.0 39 0\n","8 31.0 4 45781.0 ... 50.0 39 0\n","9 42.0 4 159449.0 ... 40.0 39 0\n","\n","[10 rows x 15 columns]\n","Index(['age', 'workclass', 'fnlwgt', 'education', 'education-num',\n"," 'marital-status', 'occupation', 'relationship', 'race', 'sex',\n"," 'capital-gain', 'capital-loss', 'hours-per-week', 'native-country',\n"," 'target'],\n"," dtype='object')\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VBs-ZbLAqwLE","executionInfo":{"status":"ok","timestamp":1636666532497,"user_tz":-120,"elapsed":11,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"6b472554-6565-44ed-f205-9642f5ca82c5"},"source":["y = frame[\"target\"]\n","y"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0 1\n","1 1\n","2 1\n","3 1\n","4 1\n"," ..\n","48837 1\n","48838 1\n","48839 1\n","48840 1\n","48841 0\n","Name: target, Length: 48842, dtype: int64"]},"metadata":{},"execution_count":11}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":419},"id":"-JriopbVq_Fb","executionInfo":{"status":"ok","timestamp":1636666532498,"user_tz":-120,"elapsed":10,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"3e6a3bda-b308-44ec-e3e0-1ae3aa1fdc41"},"source":["X = frame.iloc[:,:14]\n","X"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n"," .dataframe tbody tr th:only-of-type {\n"," vertical-align: middle;\n"," }\n","\n"," .dataframe tbody tr th {\n"," vertical-align: top;\n"," }\n","\n"," .dataframe thead th {\n"," text-align: right;\n"," }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n"," <thead>\n"," <tr style=\"text-align: right;\">\n"," <th></th>\n"," <th>age</th>\n"," <th>workclass</th>\n"," <th>fnlwgt</th>\n"," <th>education</th>\n"," <th>education-num</th>\n"," <th>marital-status</th>\n"," <th>occupation</th>\n"," <th>relationship</th>\n"," <th>race</th>\n"," <th>sex</th>\n"," <th>capital-gain</th>\n"," <th>capital-loss</th>\n"," <th>hours-per-week</th>\n"," <th>native-country</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>39.0</td>\n"," <td>7</td>\n"," <td>77516.0</td>\n"," <td>9</td>\n"," <td>13.0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>1</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>2174.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>50.0</td>\n"," <td>6</td>\n"," <td>83311.0</td>\n"," <td>9</td>\n"," <td>13.0</td>\n"," <td>2</td>\n"," <td>4</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>13.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>2</th>\n"," <td>38.0</td>\n"," <td>4</td>\n"," <td>215646.0</td>\n"," <td>11</td>\n"," <td>9.0</td>\n"," <td>0</td>\n"," <td>6</td>\n"," <td>1</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>3</th>\n"," <td>53.0</td>\n"," <td>4</td>\n"," <td>234721.0</td>\n"," <td>1</td>\n"," <td>7.0</td>\n"," <td>2</td>\n"," <td>6</td>\n"," <td>0</td>\n"," <td>2</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>28.0</td>\n"," <td>4</td>\n"," <td>338409.0</td>\n"," <td>9</td>\n"," <td>13.0</td>\n"," <td>2</td>\n"," <td>10</td>\n"," <td>5</td>\n"," <td>2</td>\n"," <td>0</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>5</td>\n"," </tr>\n"," <tr>\n"," <th>...</th>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," </tr>\n"," <tr>\n"," <th>48837</th>\n"," <td>39.0</td>\n"," <td>4</td>\n"," <td>215419.0</td>\n"," <td>9</td>\n"," <td>13.0</td>\n"," <td>0</td>\n"," <td>10</td>\n"," <td>1</td>\n"," <td>4</td>\n"," <td>0</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>36.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>48838</th>\n"," <td>64.0</td>\n"," <td>0</td>\n"," <td>321403.0</td>\n"," <td>11</td>\n"," <td>9.0</td>\n"," <td>6</td>\n"," <td>0</td>\n"," <td>2</td>\n"," <td>2</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>48839</th>\n"," <td>38.0</td>\n"," <td>4</td>\n"," <td>374983.0</td>\n"," <td>9</td>\n"," <td>13.0</td>\n"," <td>2</td>\n"," <td>10</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>50.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>48840</th>\n"," <td>44.0</td>\n"," <td>4</td>\n"," <td>83891.0</td>\n"," <td>9</td>\n"," <td>13.0</td>\n"," <td>0</td>\n"," <td>1</td>\n"," <td>3</td>\n"," <td>1</td>\n"," <td>1</td>\n"," <td>5455.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>48841</th>\n"," <td>35.0</td>\n"," <td>5</td>\n"," <td>182148.0</td>\n"," <td>9</td>\n"," <td>13.0</td>\n"," <td>2</td>\n"," <td>4</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>60.0</td>\n"," <td>39</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>48842 rows × 14 columns</p>\n","</div>"],"text/plain":[" age workclass fnlwgt ... capital-loss hours-per-week native-country\n","0 39.0 7 77516.0 ... 0.0 40.0 39\n","1 50.0 6 83311.0 ... 0.0 13.0 39\n","2 38.0 4 215646.0 ... 0.0 40.0 39\n","3 53.0 4 234721.0 ... 0.0 40.0 39\n","4 28.0 4 338409.0 ... 0.0 40.0 5\n","... ... ... ... ... ... ... ...\n","48837 39.0 4 215419.0 ... 0.0 36.0 39\n","48838 64.0 0 321403.0 ... 0.0 40.0 39\n","48839 38.0 4 374983.0 ... 0.0 50.0 39\n","48840 44.0 4 83891.0 ... 0.0 40.0 39\n","48841 35.0 5 182148.0 ... 0.0 60.0 39\n","\n","[48842 rows x 14 columns]"]},"metadata":{},"execution_count":12}]},{"cell_type":"code","metadata":{"id":"XBpI9oZE16iC"},"source":["# The dataset is HUGE, so I had to make train set smaller \n","# Or then I'm doing something wrong and its taking time because of that\n","# I'm thinking that you forgot to do the datasplit to this data and accidentally used the moon data, since the code for X, y wasn't here.\n","\n","# Split into training and test sets\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=0)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"dwu3vAgbrkZb","colab":{"base_uri":"https://localhost:8080/","height":419},"executionInfo":{"status":"ok","timestamp":1636666532873,"user_tz":-120,"elapsed":384,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"4ff6dc98-b326-41b0-d323-7d491c729a6f"},"source":["X_train"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n"," 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</tr>\n"," <tr>\n"," <th>34743</th>\n"," <td>41.0</td>\n"," <td>1</td>\n"," <td>56236.0</td>\n"," <td>11</td>\n"," <td>9.0</td>\n"," <td>0</td>\n"," <td>11</td>\n"," <td>4</td>\n"," <td>2</td>\n"," <td>1</td>\n"," <td>1506.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>2022</th>\n"," <td>32.0</td>\n"," <td>4</td>\n"," <td>160362.0</td>\n"," <td>15</td>\n"," <td>10.0</td>\n"," <td>0</td>\n"," <td>8</td>\n"," <td>2</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>27</td>\n"," </tr>\n"," <tr>\n"," <th>1580</th>\n"," <td>26.0</td>\n"," <td>4</td>\n"," <td>266912.0</td>\n"," <td>11</td>\n"," <td>9.0</td>\n"," <td>2</td>\n"," <td>12</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>50.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>4612</th>\n"," <td>38.0</td>\n"," <td>4</td>\n"," <td>136081.0</td>\n"," <td>14</td>\n"," <td>15.0</td>\n"," <td>2</td>\n"," <td>10</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>60.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>...</th>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," </tr>\n"," <tr>\n"," <th>21243</th>\n"," <td>65.0</td>\n"," <td>0</td>\n"," <td>404601.0</td>\n"," <td>11</td>\n"," <td>9.0</td>\n"," <td>2</td>\n"," <td>0</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>2414.0</td>\n"," <td>0.0</td>\n"," <td>30.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>45891</th>\n"," <td>61.0</td>\n"," <td>0</td>\n"," <td>244856.0</td>\n"," <td>9</td>\n"," <td>13.0</td>\n"," <td>2</td>\n"," <td>0</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>4386.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>42613</th>\n"," <td>41.0</td>\n"," <td>6</td>\n"," <td>344624.0</td>\n"," <td>15</td>\n"," <td>10.0</td>\n"," <td>2</td>\n"," <td>10</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>60.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>43567</th>\n"," <td>47.0</td>\n"," <td>6</td>\n"," <td>104489.0</td>\n"," <td>9</td>\n"," <td>13.0</td>\n"," <td>2</td>\n"," <td>12</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>2732</th>\n"," <td>25.0</td>\n"," <td>4</td>\n"," <td>186925.0</td>\n"," <td>15</td>\n"," <td>10.0</td>\n"," <td>4</td>\n"," <td>8</td>\n"," <td>1</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>2597.0</td>\n"," <td>0.0</td>\n"," <td>48.0</td>\n"," <td>39</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>34189 rows × 14 columns</p>\n","</div>"],"text/plain":[" age workclass fnlwgt ... capital-loss hours-per-week native-country\n","3833 43.0 4 193494.0 ... 0.0 40.0 39\n","34743 41.0 1 56236.0 ... 0.0 40.0 39\n","2022 32.0 4 160362.0 ... 0.0 40.0 27\n","1580 26.0 4 266912.0 ... 0.0 50.0 39\n","4612 38.0 4 136081.0 ... 0.0 60.0 39\n","... ... ... ... ... ... ... ...\n","21243 65.0 0 404601.0 ... 0.0 30.0 39\n","45891 61.0 0 244856.0 ... 0.0 40.0 39\n","42613 41.0 6 344624.0 ... 0.0 60.0 39\n","43567 47.0 6 104489.0 ... 0.0 40.0 39\n","2732 25.0 4 186925.0 ... 0.0 48.0 39\n","\n","[34189 rows x 14 columns]"]},"metadata":{},"execution_count":14}]},{"cell_type":"code","metadata":{"id":"hFVe4HzErnd8","colab":{"base_uri":"https://localhost:8080/","height":419},"executionInfo":{"status":"ok","timestamp":1636666532874,"user_tz":-120,"elapsed":6,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"84454e35-c279-469c-e524-5780cd6460da"},"source":["X_test"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n"," .dataframe tbody tr th:only-of-type {\n"," vertical-align: middle;\n"," }\n","\n"," .dataframe tbody tr th {\n"," vertical-align: top;\n"," }\n","\n"," .dataframe thead th {\n"," text-align: right;\n"," }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n"," <thead>\n"," <tr style=\"text-align: right;\">\n"," <th></th>\n"," <th>age</th>\n"," <th>workclass</th>\n"," <th>fnlwgt</th>\n"," <th>education</th>\n"," <th>education-num</th>\n"," <th>marital-status</th>\n"," <th>occupation</th>\n"," <th>relationship</th>\n"," <th>race</th>\n"," <th>sex</th>\n"," <th>capital-gain</th>\n"," <th>capital-loss</th>\n"," <th>hours-per-week</th>\n"," <th>native-country</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>38113</th>\n"," <td>41.0</td>\n"," <td>4</td>\n"," <td>151856.0</td>\n"," <td>11</td>\n"," <td>9.0</td>\n"," <td>2</td>\n"," <td>11</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>39214</th>\n"," <td>57.0</td>\n"," <td>6</td>\n"," <td>87584.0</td>\n"," <td>10</td>\n"," <td>16.0</td>\n"," <td>0</td>\n"," <td>10</td>\n"," <td>1</td>\n"," <td>4</td>\n"," <td>0</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>25.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>44248</th>\n"," <td>31.0</td>\n"," <td>2</td>\n"," <td>220669.0</td>\n"," <td>9</td>\n"," <td>13.0</td>\n"," <td>4</td>\n"," <td>10</td>\n"," <td>3</td>\n"," <td>4</td>\n"," <td>0</td>\n"," <td>6849.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>10283</th>\n"," <td>55.0</td>\n"," <td>4</td>\n"," <td>171355.0</td>\n"," <td>8</td>\n"," <td>11.0</td>\n"," <td>2</td>\n"," <td>7</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>20.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>26724</th>\n"," <td>59.0</td>\n"," <td>6</td>\n"," <td>148626.0</td>\n"," <td>0</td>\n"," <td>6.0</td>\n"," <td>2</td>\n"," <td>5</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>...</th>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," </tr>\n"," <tr>\n"," <th>48826</th>\n"," <td>50.0</td>\n"," <td>2</td>\n"," <td>139347.0</td>\n"," <td>12</td>\n"," <td>14.0</td>\n"," <td>2</td>\n"," <td>10</td>\n"," <td>5</td>\n"," <td>4</td>\n"," <td>0</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>0</td>\n"," </tr>\n"," <tr>\n"," <th>44230</th>\n"," <td>18.0</td>\n"," <td>6</td>\n"," <td>68073.0</td>\n"," <td>1</td>\n"," <td>7.0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>3</td>\n"," <td>4</td>\n"," <td>0</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>20.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>27824</th>\n"," <td>42.0</td>\n"," <td>4</td>\n"," <td>274913.0</td>\n"," <td>11</td>\n"," <td>9.0</td>\n"," <td>0</td>\n"," <td>3</td>\n"," <td>4</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>45.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>13582</th>\n"," <td>26.0</td>\n"," <td>4</td>\n"," <td>98155.0</td>\n"," <td>11</td>\n"," <td>9.0</td>\n"," <td>2</td>\n"," <td>4</td>\n"," <td>0</td>\n"," <td>4</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>40.0</td>\n"," <td>39</td>\n"," </tr>\n"," <tr>\n"," <th>14557</th>\n"," <td>22.0</td>\n"," <td>4</td>\n"," <td>359759.0</td>\n"," <td>15</td>\n"," <td>10.0</td>\n"," <td>4</td>\n"," <td>12</td>\n"," <td>1</td>\n"," <td>1</td>\n"," <td>1</td>\n"," <td>0.0</td>\n"," <td>0.0</td>\n"," <td>20.0</td>\n"," <td>30</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>14653 rows × 14 columns</p>\n","</div>"],"text/plain":[" age workclass fnlwgt ... capital-loss hours-per-week native-country\n","38113 41.0 4 151856.0 ... 0.0 40.0 39\n","39214 57.0 6 87584.0 ... 0.0 25.0 39\n","44248 31.0 2 220669.0 ... 0.0 40.0 39\n","10283 55.0 4 171355.0 ... 0.0 20.0 39\n","26724 59.0 6 148626.0 ... 0.0 40.0 39\n","... ... ... ... ... ... ... ...\n","48826 50.0 2 139347.0 ... 0.0 40.0 0\n","44230 18.0 6 68073.0 ... 0.0 20.0 39\n","27824 42.0 4 274913.0 ... 0.0 45.0 39\n","13582 26.0 4 98155.0 ... 0.0 40.0 39\n","14557 22.0 4 359759.0 ... 0.0 20.0 30\n","\n","[14653 rows x 14 columns]"]},"metadata":{},"execution_count":15}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ebczeeTNwsXJ","executionInfo":{"status":"ok","timestamp":1636666532875,"user_tz":-120,"elapsed":6,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"fdbcd36e-8a56-4e55-d5af-4c1c7f50d581"},"source":["y_train"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["3833 1\n","34743 1\n","2022 1\n","1580 0\n","4612 0\n"," ..\n","21243 1\n","45891 0\n","42613 0\n","43567 0\n","2732 1\n","Name: target, Length: 34189, dtype: int64"]},"metadata":{},"execution_count":16}]},{"cell_type":"markdown","metadata":{"id":"r5meqUdhB6S9"},"source":["## Modelling\n","\n","Let's build a support vector machine model separating the individuals with respect to whether they may over 50k/year. "]},{"cell_type":"code","metadata":{"id":"3MV0fSWitpa1","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1636665527988,"user_tz":-120,"elapsed":51088,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"c555414a-bbfe-493e-d2ed-ce140a57df45"},"source":["%%time\n","# Try the linear kernel\n","# Q1: What is the accuracy on the training dataset? Use random_state = 0.\n","\n","#Im gonna use just 100 datapoints\n","\n","# Fit a linear support vector classifier\n","clf = SVC(kernel=\"linear\", C=1.0, random_state = 0)\n","clf.fit(X_train.iloc[:100], y_train.iloc[:100])\n","\n","# Measure accuracy on the train data\n","print(\"Accuracy on the training set:\", clf.score(X_train.iloc[:100], y_train.iloc[:100]))"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy on the training set: 0.79\n","CPU times: user 50.3 s, sys: 45.2 ms, total: 50.4 s\n","Wall time: 50.8 s\n"]}]},{"cell_type":"markdown","metadata":{"id":"PMjuANRX2Ijw"},"source":["This was done with just a little bit of data and took over a minute."]},{"cell_type":"code","metadata":{"id":"uhDHOG8xOMmx","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1636666059117,"user_tz":-120,"elapsed":402680,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"a74363cf-6f06-400e-e235-6be78984404e"},"source":["%%time\n","# Try the polynomial kernel\n","# Q2: What is the best fitting polynomial kernel between degrees 1, 2, 3, 4, 5. \n","# Use random_state = 0.\n","\n","for d in range(1,6):\n"," # Initialize model\n"," # Suggestion: try several different degrees in the kernel by modifying the parameter \"degree\"\n"," pol_model = SVC(kernel=\"poly\", degree=d, C=1.0, random_state = 0)\n","\n"," print(\"degree =\", d)\n"," # Train the model\n"," pol_model.fit(X_train.iloc[:10000], y_train.iloc[:10000])\n","\n"," # Measure accuracy on the training data\n"," print(\"Accuracy on the training set:\", pol_model.score(X_train.iloc[:10000], y_train.iloc[:10000]))\n","\n","\n","# Q3. For the best fitting polynomial kernel, what is the accuracy on the training dataset?\n","\n","# degree 1"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["degree = 1\n","Accuracy on the training set: 0.7833\n","degree = 2\n","Accuracy on the training set: 0.7816\n","degree = 3\n","Accuracy on the training set: 0.7768\n","degree = 4\n","Accuracy on the training set: 0.7729\n","degree = 5\n","Accuracy on the training set: 0.7696\n","CPU times: user 6min 41s, sys: 598 ms, total: 6min 41s\n","Wall time: 6min 42s\n"]}]},{"cell_type":"markdown","metadata":{"id":"9rW4OPtp3tU4"},"source":["This took less than a second for 100 datapoints, but the linear took a minute?!\n","1000 points took couple seconds.\n","10 000 points took over 6min.\n"]},{"cell_type":"code","metadata":{"id":"IafEr0UbONmT","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1636666574480,"user_tz":-120,"elapsed":14093,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"644ced84-3a6b-4f12-cd7a-308518ae7bdd"},"source":["%%time\n","# Try the RBF kernel\n","# Q4: What is the accuracy on the training dataset? Use random_state = 0.\n","\n","\n","# Initialize model\n","rbf_model = SVC(kernel=\"rbf\", C=1.0, gamma = 2, random_state = 0)\n","\n","# Train the model\n","rbf_model.fit(X_train.iloc[:10000], y_train.iloc[:10000])\n","\n","# Measure accuracy on the training data\n","print(\"Accuracy on the training set:\", rbf_model.score(X_train.iloc[:10000], y_train.iloc[:10000]))"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy on the training set: 1.0\n","CPU times: user 13.6 s, sys: 248 ms, total: 13.8 s\n","Wall time: 13.8 s\n"]}]},{"cell_type":"code","metadata":{"id":"sKEqnrJpPlwW","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1636666578776,"user_tz":-120,"elapsed":3525,"user":{"displayName":"Elias Ervelä","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhcVQbqAobpSX3NE6w5d6aZPU_VzlnsvBC9GkyMtw=s64","userId":"11858975235946053692"}},"outputId":"fdd16105-dccc-4ba0-9360-d51f6af3cc8b"},"source":["# Q5. For the model with the best accuracy on the training dataset, what is its accuracy on the test dataset?\n","rbf_model.score(X_test.iloc[:10000], y_test.iloc[:10000])"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.7653"]},"metadata":{},"execution_count":19}]},{"cell_type":"code","metadata":{"id":"J60MBb0oxs-a"},"source":[""],"execution_count":null,"outputs":[]}]} \ No newline at end of file