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Morten Hjorth-Jensen
2022-11-02 06:41:42 +01:00
parent f4a0e775a5
commit 9c3c8d53e6
12 changed files with 145 additions and 125 deletions
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doc/pub/week44/html/._week44-bs000.html
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@@ -318,7 +318,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Nov 1, 2022</h4>
<h4>Nov 2, 2022</h4>
</center> <!-- date -->
<br>
doc/pub/week44/html/._week44-bs001.html
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@@ -304,6 +304,9 @@ MathJax.Hub.Config({
<ul>
<li> Thursday: Basics of decision trees, classification and regression algorithms</li>
<ul>
<li> <b>Note</b>: Thursday's lecture is digital only due to "High-school post-education day":https://www.uio.no/om/samarbeid/skole/fagped-dag/"</li>
</ul>
<li> Friday: Decision trees and ensemble models (bagging and random forests)</li>
</ul>
<div class="panel panel-default">
doc/pub/week44/html/week44-bs.html
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@@ -318,7 +318,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Nov 1, 2022</h4>
<h4>Nov 2, 2022</h4>
</center> <!-- date -->
<br>
doc/pub/week44/html/week44-reveal.html
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@@ -184,7 +184,7 @@ MathJax.Hub.Config({
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<br>
<center>
<h4>Nov 1, 2022</h4>
<h4>Nov 2, 2022</h4>
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<br>
@@ -199,6 +199,11 @@ MathJax.Hub.Config({
<ul>
<p><li> Thursday: Basics of decision trees, classification and regression algorithms</li>
<ul>
<p><li> <b>Note</b>: Thursday's lecture is digital only due to "High-school post-education day":https://www.uio.no/om/samarbeid/skole/fagped-dag/"</li>
</ul>
<p>
<p><li> Friday: Decision trees and ensemble models (bagging and random forests)</li>
</ul>
<p>
doc/pub/week44/html/week44-solarized.html
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@@ -262,7 +262,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Nov 1, 2022</h4>
<h4>Nov 2, 2022</h4>
</center> <!-- date -->
<br>
@@ -271,6 +271,9 @@ MathJax.Hub.Config({
<ul>
<li> Thursday: Basics of decision trees, classification and regression algorithms</li>
<ul>
<li> <b>Note</b>: Thursday's lecture is digital only due to "High-school post-education day":https://www.uio.no/om/samarbeid/skole/fagped-dag/"</li>
</ul>
<li> Friday: Decision trees and ensemble models (bagging and random forests)</li>
</ul>
<div class="alert alert-block alert-block alert-text-normal">
doc/pub/week44/html/week44.html
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@@ -339,7 +339,7 @@ MathJax.Hub.Config({
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<br>
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<h4>Nov 1, 2022</h4>
<h4>Nov 2, 2022</h4>
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<br>
@@ -348,6 +348,9 @@ MathJax.Hub.Config({
<ul>
<li> Thursday: Basics of decision trees, classification and regression algorithms</li>
<ul>
<li> <b>Note</b>: Thursday's lecture is digital only due to "High-school post-education day":https://www.uio.no/om/samarbeid/skole/fagped-dag/"</li>
</ul>
<li> Friday: Decision trees and ensemble models (bagging and random forests)</li>
</ul>
<div class="alert alert-block alert-block alert-text-normal">
doc/pub/week44/ipynb/ipynb-week44-src.tar.gz
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doc/pub/week44/ipynb/week44.ipynb
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"# Week 44: Decision Trees, Ensemble methods and Random Forests\n",
"**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University\n",
"\n",
"Date: **Nov 1, 2022**\n",
"Date: **Nov 2, 2022**\n",
"\n",
"Copyright 1999-2022, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license"
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"**Videos.**\n",
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"execution_count": 17,
"id": "00bce4fc",
"id": "1f4c6479",
"metadata": {
"collapsed": false,
"editable": true
@@ -2083,7 +2085,7 @@
},
{
"cell_type": "markdown",
"id": "dbbf0823",
"id": "7b578c34",
"metadata": {
"editable": true
},
@@ -2094,7 +2096,7 @@
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"id": "deee652c",
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"metadata": {
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@@ -2124,7 +2126,7 @@
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"id": "4f831127",
"id": "47b632ab",
"metadata": {
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@@ -2142,7 +2144,7 @@
{
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"id": "4f0ede67",
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"metadata": {
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@@ -2162,7 +2164,7 @@
{
"cell_type": "code",
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"id": "a6234319",
"id": "b0719293",
"metadata": {
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@@ -2179,7 +2181,7 @@
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{
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"metadata": {
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@@ -2201,7 +2203,7 @@
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{
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@@ -2233,7 +2235,7 @@
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{
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"metadata": {
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@@ -2247,7 +2249,7 @@
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"id": "3d81803f",
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"metadata": {
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@@ -2316,7 +2318,7 @@
},
{
"cell_type": "markdown",
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"id": "decc7681",
"metadata": {
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},
@@ -2339,7 +2341,7 @@
},
{
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"metadata": {
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},
@@ -2351,7 +2353,7 @@
},
{
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"metadata": {
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@@ -2376,7 +2378,7 @@
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{
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"metadata": {
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@@ -2402,7 +2404,7 @@
},
{
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"metadata": {
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@@ -2413,7 +2415,7 @@
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"id": "d8858b60",
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"metadata": {
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@@ -2485,7 +2487,7 @@
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{
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"metadata": {
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@@ -2501,7 +2503,7 @@
},
{
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@@ -2512,7 +2514,7 @@
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@@ -2527,7 +2529,7 @@
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doc/src/week44/Programs/DataFiles/grade.dot
+7 -7
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@@ -2,12 +2,12 @@ digraph Tree {
node [shape=box, style="filled, rounded", color="black", fontname="helvetica"] ;
edge [fontname="helvetica"] ;
0 [label="X[0] <= 0.5\ngini = 0.48\nsamples = 10\nvalue = [6, 4]", fillcolor="#f6d5bd"] ;
1 [label="X[5] <= 0.5\ngini = 0.444\nsamples = 6\nvalue = [2, 4]", fillcolor="#9ccef2"] ;
1 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
2 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
1 -> 2 ;
3 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4]", fillcolor="#399de5"] ;
1 -> 3 ;
4 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
0 -> 4 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
2 [label="X[2] <= 0.5\ngini = 0.444\nsamples = 6\nvalue = [2, 4]", fillcolor="#9ccef2"] ;
0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
3 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
2 -> 3 ;
4 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4]", fillcolor="#399de5"] ;
2 -> 4 ;
}
doc/src/week44/Programs/DataFiles/grades.png
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doc/src/week44/Programs/grades.py
+3
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@@ -45,12 +45,15 @@ display(grades)
X = grades.loc[:, grades.columns != 'Grade'].values
y = grades.loc[:, grades.columns == 'Grade'].values
print(X)
"""
# Create the encoder.
encoder = OneHotEncoder(handle_unknown="ignore")
# Assume for simplicity all features are categorical.
encoder.fit(X)
# Apply the encoder.
X = encoder.transform(X)
print(X)
"""
# Then do a Classification tree
tree_clf = DecisionTreeClassifier(max_depth=2)
tree_clf.fit(X, y)
doc/src/week44/week44.do.txt
+1
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@@ -7,6 +7,7 @@ DATE: today
===== Overview of week 44 =====
* Thursday: Basics of decision trees, classification and regression algorithms
* _Note_: Thursday's lecture is digital only due to "High-school post-education day":https://www.uio.no/om/samarbeid/skole/fagped-dag/"
* Friday: Decision trees and ensemble models (bagging and random forests)
!bblock Videos