new deadline p2
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@@ -7,9 +7,9 @@ Automatically generated HTML file from DocOnce source
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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<meta name="generator" content="DocOnce: https://github.com/hplgit/doconce/" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<meta name="description" content="Project 2 on Machine Learning, deadline November 9">
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<meta name="description" content="Project 2 on Machine Learning, deadline November 13 (Midnight)">
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<title>Project 2 on Machine Learning, deadline November 9</title>
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<title>Project 2 on Machine Learning, deadline November 13 (Midnight)</title>
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<!-- Bootstrap style: bootstrap -->
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<link href="https://netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css" rel="stylesheet">
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@@ -107,7 +107,7 @@ MathJax.Hub.Config({
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<span class="icon-bar"></span>
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<span class="icon-bar"></span>
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</button>
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<a class="navbar-brand" href="Project2-bs.html">Project 2 on Machine Learning, deadline November 9</a>
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<a class="navbar-brand" href="Project2-bs.html">Project 2 on Machine Learning, deadline November 13 (Midnight)</a>
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</div>
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<div class="navbar-collapse collapse navbar-responsive-collapse">
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@@ -144,7 +144,7 @@ MathJax.Hub.Config({
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<div class="jumbotron">
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<center><h1>Project 2 on Machine Learning, deadline November 9</h1></center> <!-- document title -->
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<center><h1>Project 2 on Machine Learning, deadline November 13 (Midnight)</h1></center> <!-- document title -->
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<p>
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<!-- author(s): <a href="http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html" target="_self">Data Analysis and Machine Learning FYS-STK3155/FYS4155</a> -->
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@@ -159,7 +159,7 @@ MathJax.Hub.Config({
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<center><b>Department of Physics, University of Oslo, Norway</b></center>
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<br>
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<p>
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<center><h4>Oct 7, 2020</h4></center> <!-- date -->
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<center><h4>Nov 4, 2020</h4></center> <!-- date -->
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<br>
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<p>
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</div> <!-- end jumbotron -->
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@@ -7,9 +7,9 @@ Automatically generated HTML file from DocOnce source
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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<meta name="generator" content="DocOnce: https://github.com/hplgit/doconce/" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<meta name="description" content="Project 2 on Machine Learning, deadline November 9">
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<meta name="description" content="Project 2 on Machine Learning, deadline November 13 (Midnight)">
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<title>Project 2 on Machine Learning, deadline November 9</title>
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<title>Project 2 on Machine Learning, deadline November 13 (Midnight)</title>
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<!-- Bootstrap style: bootstrap -->
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<link href="https://netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css" rel="stylesheet">
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@@ -107,7 +107,7 @@ MathJax.Hub.Config({
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<span class="icon-bar"></span>
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<span class="icon-bar"></span>
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</button>
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<a class="navbar-brand" href="Project2-bs.html">Project 2 on Machine Learning, deadline November 9</a>
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<a class="navbar-brand" href="Project2-bs.html">Project 2 on Machine Learning, deadline November 13 (Midnight)</a>
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</div>
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<div class="navbar-collapse collapse navbar-responsive-collapse">
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@@ -144,7 +144,7 @@ MathJax.Hub.Config({
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<div class="jumbotron">
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<center><h1>Project 2 on Machine Learning, deadline November 9</h1></center> <!-- document title -->
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<center><h1>Project 2 on Machine Learning, deadline November 13 (Midnight)</h1></center> <!-- document title -->
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<p>
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<!-- author(s): <a href="http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html" target="_self">Data Analysis and Machine Learning FYS-STK3155/FYS4155</a> -->
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@@ -159,7 +159,7 @@ MathJax.Hub.Config({
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<center><b>Department of Physics, University of Oslo, Norway</b></center>
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<br>
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<p>
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<center><h4>Oct 7, 2020</h4></center> <!-- date -->
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<center><h4>Nov 4, 2020</h4></center> <!-- date -->
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<br>
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<p>
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</div> <!-- end jumbotron -->
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@@ -7,9 +7,9 @@ Automatically generated HTML file from DocOnce source
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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<meta name="generator" content="DocOnce: https://github.com/hplgit/doconce/" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<meta name="description" content="Project 2 on Machine Learning, deadline November 9">
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<meta name="description" content="Project 2 on Machine Learning, deadline November 13 (Midnight)">
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<title>Project 2 on Machine Learning, deadline November 9</title>
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<title>Project 2 on Machine Learning, deadline November 13 (Midnight)</title>
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<style type="text/css">
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@@ -102,7 +102,7 @@ MathJax.Hub.Config({
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<center><h1>Project 2 on Machine Learning, deadline November 9</h1></center> <!-- document title -->
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<center><h1>Project 2 on Machine Learning, deadline November 13 (Midnight)</h1></center> <!-- document title -->
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<p>
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<!-- author(s): <a href="http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html" target="_blank">Data Analysis and Machine Learning FYS-STK3155/FYS4155</a> -->
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@@ -117,7 +117,7 @@ MathJax.Hub.Config({
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<center><b>Department of Physics, University of Oslo, Norway</b></center>
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<br>
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<p>
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<center><h4>Oct 7, 2020</h4></center> <!-- date -->
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<center><h4>Nov 4, 2020</h4></center> <!-- date -->
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<br>
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<h2 id="___sec0">Classification and Regression, from linear and logistic regression to neural networks </h2>
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@@ -4,13 +4,13 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<!-- dom:TITLE: Project 2 on Machine Learning, deadline November 9 -->\n",
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"# Project 2 on Machine Learning, deadline November 9\n",
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"<!-- dom:TITLE: Project 2 on Machine Learning, deadline November 13 (Midnight) -->\n",
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"# Project 2 on Machine Learning, deadline November 13 (Midnight)\n",
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"<!-- dom:AUTHOR: [Data Analysis and Machine Learning FYS-STK3155/FYS4155](http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html) at Department of Physics, University of Oslo, Norway -->\n",
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"<!-- Author: --> \n",
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"**[Data Analysis and Machine Learning FYS-STK3155/FYS4155](http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html)**, Department of Physics, University of Oslo, Norway\n",
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"\n",
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"Date: **Oct 7, 2020**\n",
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"Date: **Nov 4, 2020**\n",
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"\n",
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"Copyright 1999-2020, [Data Analysis and Machine Learning FYS-STK3155/FYS4155](http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html). Released under CC Attribution-NonCommercial 4.0 license\n",
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"\n",
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@@ -129,7 +129,7 @@ final, % draft: marks overfull hboxes, figures with paths
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\begin{center}
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{\LARGE\bf
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\begin{spacing}{1.25}
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Project 2 on Machine Learning, deadline November 9
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Project 2 on Machine Learning, deadline November 13 (Midnight)
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\end{spacing}
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}
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\end{center}
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@@ -149,7 +149,7 @@ Project 2 on Machine Learning, deadline November 9
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% --- begin date ---
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\begin{center}
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Oct 7, 2020
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Nov 4, 2020
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\end{center}
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% --- end date ---
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Binary file not shown.
@@ -103,7 +103,7 @@ final, % draft: marks overfull hboxes, figures with paths
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\begin{center}
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{\LARGE\bf
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\begin{spacing}{1.25}
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Project 2 on Machine Learning, deadline November 9
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Project 2 on Machine Learning, deadline November 13 (Midnight)
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\end{spacing}
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}
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\end{center}
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@@ -123,7 +123,7 @@ Project 2 on Machine Learning, deadline November 9
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% --- begin date ---
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\begin{center}
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Oct 7, 2020
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Nov 4, 2020
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\end{center}
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% --- end date ---
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@@ -206,6 +206,7 @@ MathJax.Hub.Config({
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<span style="color: #008000; font-weight: bold">from</span> <span style="color: #0000FF; font-weight: bold">sklearn.svm</span> <span style="color: #008000; font-weight: bold">import</span> SVC
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<span style="color: #008000; font-weight: bold">from</span> <span style="color: #0000FF; font-weight: bold">sklearn.linear_model</span> <span style="color: #008000; font-weight: bold">import</span> LogisticRegression
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<span style="color: #008000; font-weight: bold">from</span> <span style="color: #0000FF; font-weight: bold">sklearn.tree</span> <span style="color: #008000; font-weight: bold">import</span> DecisionTreeClassifier
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<span style="color: #008000; font-weight: bold">from</span> <span style="color: #0000FF; font-weight: bold">sklearn.ensemble</span> <span style="color: #008000; font-weight: bold">import</span> BaggingClassifier
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<span style="color: #408080; font-style: italic"># Load the data</span>
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cancer <span style="color: #666666">=</span> load_breast_cancer()
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@@ -518,6 +518,7 @@ We will grow of forest of say \( B \) trees.
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<span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">sklearn.svm</span> <span style="color: #8B008B; font-weight: bold">import</span> SVC
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<span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">sklearn.linear_model</span> <span style="color: #8B008B; font-weight: bold">import</span> LogisticRegression
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<span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">sklearn.tree</span> <span style="color: #8B008B; font-weight: bold">import</span> DecisionTreeClassifier
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<span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">sklearn.ensemble</span> <span style="color: #8B008B; font-weight: bold">import</span> BaggingClassifier
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<span style="color: #228B22"># Load the data</span>
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cancer = load_breast_cancer()
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@@ -497,6 +497,7 @@ We will grow of forest of say \( B \) trees.
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<span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">sklearn.svm</span> <span style="color: #8B008B; font-weight: bold">import</span> SVC
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<span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">sklearn.linear_model</span> <span style="color: #8B008B; font-weight: bold">import</span> LogisticRegression
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<span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">sklearn.tree</span> <span style="color: #8B008B; font-weight: bold">import</span> DecisionTreeClassifier
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<span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">sklearn.ensemble</span> <span style="color: #8B008B; font-weight: bold">import</span> BaggingClassifier
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<span style="color: #228B22"># Load the data</span>
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cancer = load_breast_cancer()
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@@ -502,6 +502,7 @@ We will grow of forest of say \( B \) trees.
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<span style="color: #008000; font-weight: bold">from</span> <span style="color: #0000FF; font-weight: bold">sklearn.svm</span> <span style="color: #008000; font-weight: bold">import</span> SVC
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<span style="color: #008000; font-weight: bold">from</span> <span style="color: #0000FF; font-weight: bold">sklearn.linear_model</span> <span style="color: #008000; font-weight: bold">import</span> LogisticRegression
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<span style="color: #008000; font-weight: bold">from</span> <span style="color: #0000FF; font-weight: bold">sklearn.tree</span> <span style="color: #008000; font-weight: bold">import</span> DecisionTreeClassifier
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<span style="color: #008000; font-weight: bold">from</span> <span style="color: #0000FF; font-weight: bold">sklearn.ensemble</span> <span style="color: #008000; font-weight: bold">import</span> BaggingClassifier
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<span style="color: #408080; font-style: italic"># Load the data</span>
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cancer <span style="color: #666666">=</span> load_breast_cancer()
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@@ -1,4 +1,4 @@
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TITLE: Project 2 on Machine Learning, deadline November 9
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TITLE: Project 2 on Machine Learning, deadline November 13 (Midnight)
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AUTHOR: "Data Analysis and Machine Learning FYS-STK3155/FYS4155":"http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html" {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo, Norway
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DATE: today
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@@ -314,6 +314,7 @@ from sklearn.datasets import load_breast_cancer
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from sklearn.svm import SVC
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from sklearn.linear_model import LogisticRegression
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from sklearn.tree import DecisionTreeClassifier
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from sklearn.ensemble import BaggingClassifier
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# Load the data
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cancer = load_breast_cancer()
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