diff --git a/doc/pub/week47/html/._week47-bs001.html b/doc/pub/week47/html/._week47-bs001.html
index c9186a9a7..19f8a235f 100644
--- a/doc/pub/week47/html/._week47-bs001.html
+++ b/doc/pub/week47/html/._week47-bs001.html
@@ -367,7 +367,6 @@ MathJax.Hub.Config({
Video on Gradient boost, part 1, parts 2-4 follow thereafter https://www.youtube.com/watch?v=3CC4N4z3GJc
Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf.
- Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from STK-IN4300, lecture 7. Chapter 9.2 of Hastie et al contains also a good discussion.
diff --git a/doc/pub/week47/html/week47-reveal.html b/doc/pub/week47/html/week47-reveal.html
index 5d71e8ed2..4106656f1 100644
--- a/doc/pub/week47/html/week47-reveal.html
+++ b/doc/pub/week47/html/week47-reveal.html
@@ -227,7 +227,6 @@ MathJax.Hub.Config({
Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf.
-
Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from STK-IN4300, lecture 7. Chapter 9.2 of Hastie et al contains also a good discussion.
diff --git a/doc/pub/week47/html/week47-solarized.html b/doc/pub/week47/html/week47-solarized.html
index c2ccd0705..293865bbd 100644
--- a/doc/pub/week47/html/week47-solarized.html
+++ b/doc/pub/week47/html/week47-solarized.html
@@ -325,7 +325,6 @@ MathJax.Hub.Config({
Video on Gradient boost, part 1, parts 2-4 follow thereafter https://www.youtube.com/watch?v=3CC4N4z3GJc
Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf.
- Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from STK-IN4300, lecture 7. Chapter 9.2 of Hastie et al contains also a good discussion.
diff --git a/doc/pub/week47/html/week47.html b/doc/pub/week47/html/week47.html
index b67b71dd7..1b2478dc2 100644
--- a/doc/pub/week47/html/week47.html
+++ b/doc/pub/week47/html/week47.html
@@ -402,7 +402,6 @@ MathJax.Hub.Config({
Video on Gradient boost, part 1, parts 2-4 follow thereafter https://www.youtube.com/watch?v=3CC4N4z3GJc
Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf.
- Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from STK-IN4300, lecture 7. Chapter 9.2 of Hastie et al contains also a good discussion.
diff --git a/doc/pub/week47/ipynb/DataFiles/cancer.dot b/doc/pub/week47/ipynb/DataFiles/cancer.dot
index 5b4b48a9b..fc4ee6e62 100644
--- a/doc/pub/week47/ipynb/DataFiles/cancer.dot
+++ b/doc/pub/week47/ipynb/DataFiles/cancer.dot
@@ -1,57 +1,57 @@
digraph Tree {
-node [shape=box, style="filled, rounded", color="black", fontname=helvetica] ;
-edge [fontname=helvetica] ;
-0 [label="worst perimeter <= 106.05\ngini = 0.465\nsamples = 426\nvalue = [[269, 157]\n[157, 269]]", fillcolor="#e5813908"] ;
-1 [label="worst concave points <= 0.159\ngini = 0.067\nsamples = 259\nvalue = [[250, 9]\n[9, 250]]", fillcolor="#e58139db"] ;
+node [shape=box, style="filled, rounded", color="black", fontname="helvetica"] ;
+edge [fontname="helvetica"] ;
+0 [label="worst perimeter <= 106.05\ngini = 0.465\nsamples = 426\nvalue = [[269, 157]\n[157, 269]]", fillcolor="#fefbf9"] ;
+1 [label="worst concave points <= 0.159\ngini = 0.067\nsamples = 259\nvalue = [[250, 9]\n[9, 250]]", fillcolor="#e99355"] ;
0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
-2 [label="worst concave points <= 0.135\ngini = 0.031\nsamples = 253\nvalue = [[249, 4]\n[4, 249]]", fillcolor="#e58139ee"] ;
+2 [label="worst concave points <= 0.135\ngini = 0.031\nsamples = 253\nvalue = [[249, 4]\n[4, 249]]", fillcolor="#e78946"] ;
1 -> 2 ;
-3 [label="radius error <= 0.643\ngini = 0.008\nsamples = 242\nvalue = [[241, 1]\n[1, 241]]", fillcolor="#e58139fb"] ;
+3 [label="area error <= 48.975\ngini = 0.008\nsamples = 242\nvalue = [[241, 1]\n[1, 241]]", fillcolor="#e5833c"] ;
2 -> 3 ;
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+4 [label="gini = 0.0\nsamples = 239\nvalue = [[239, 0]\n[0, 239]]", fillcolor="#e58139"] ;
3 -> 4 ;
-5 [label="worst symmetry <= 0.208\ngini = 0.444\nsamples = 3\nvalue = [[2, 1]\n[1, 2]]", fillcolor="#e5813913"] ;
+5 [label="mean symmetry <= 0.166\ngini = 0.444\nsamples = 3\nvalue = [[2, 1]\n[1, 2]]", fillcolor="#fdf6f0"] ;
3 -> 5 ;
-6 [label="gini = 0.0\nsamples = 1\nvalue = [[0, 1]\n[1, 0]]", fillcolor="#e58139ff"] ;
+6 [label="gini = 0.0\nsamples = 1\nvalue = [[0, 1]\n[1, 0]]", fillcolor="#e58139"] ;
5 -> 6 ;
-7 [label="gini = 0.0\nsamples = 2\nvalue = [[2, 0]\n[0, 2]]", fillcolor="#e58139ff"] ;
+7 [label="gini = 0.0\nsamples = 2\nvalue = [[2, 0]\n[0, 2]]", fillcolor="#e58139"] ;
5 -> 7 ;
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+8 [label="mean texture <= 20.84\ngini = 0.397\nsamples = 11\nvalue = [[8, 3]\n[3, 8]]", fillcolor="#fae9dd"] ;
2 -> 8 ;
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+9 [label="gini = 0.0\nsamples = 8\nvalue = [[8, 0]\n[0, 8]]", fillcolor="#e58139"] ;
8 -> 9 ;
-10 [label="gini = 0.0\nsamples = 3\nvalue = [[0, 3]\n[3, 0]]", fillcolor="#e58139ff"] ;
+10 [label="gini = 0.0\nsamples = 3\nvalue = [[0, 3]\n[3, 0]]", fillcolor="#e58139"] ;
8 -> 10 ;
-11 [label="mean texture <= 16.22\ngini = 0.278\nsamples = 6\nvalue = [[1, 5]\n[5, 1]]", fillcolor="#e581396b"] ;
+11 [label="worst texture <= 24.785\ngini = 0.278\nsamples = 6\nvalue = [[1, 5]\n[5, 1]]", fillcolor="#f4caac"] ;
1 -> 11 ;
-12 [label="gini = 0.0\nsamples = 1\nvalue = [[1, 0]\n[0, 1]]", fillcolor="#e58139ff"] ;
+12 [label="gini = 0.0\nsamples = 1\nvalue = [[1, 0]\n[0, 1]]", fillcolor="#e58139"] ;
11 -> 12 ;
-13 [label="gini = 0.0\nsamples = 5\nvalue = [[0, 5]\n[5, 0]]", fillcolor="#e58139ff"] ;
+13 [label="gini = 0.0\nsamples = 5\nvalue = [[0, 5]\n[5, 0]]", fillcolor="#e58139"] ;
11 -> 13 ;
-14 [label="worst texture <= 20.645\ngini = 0.202\nsamples = 167\nvalue = [[19, 148]\n[148, 19]]", fillcolor="#e5813994"] ;
+14 [label="worst texture <= 20.645\ngini = 0.202\nsamples = 167\nvalue = [[19, 148]\n[148, 19]]", fillcolor="#f0b68c"] ;
0 -> 14 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
-15 [label="worst radius <= 17.74\ngini = 0.375\nsamples = 16\nvalue = [[12, 4]\n[4, 12]]", fillcolor="#e5813938"] ;
+15 [label="worst concavity <= 0.318\ngini = 0.375\nsamples = 16\nvalue = [[12, 4]\n[4, 12]]", fillcolor="#f9e3d4"] ;
14 -> 15 ;
-16 [label="gini = 0.0\nsamples = 11\nvalue = [[11, 0]\n[0, 11]]", fillcolor="#e58139ff"] ;
+16 [label="gini = 0.0\nsamples = 11\nvalue = [[11, 0]\n[0, 11]]", fillcolor="#e58139"] ;
15 -> 16 ;
-17 [label="mean texture <= 13.745\ngini = 0.32\nsamples = 5\nvalue = [[1, 4]\n[4, 1]]", fillcolor="#e5813955"] ;
+17 [label="mean radius <= 15.06\ngini = 0.32\nsamples = 5\nvalue = [[1, 4]\n[4, 1]]", fillcolor="#f6d5bd"] ;
15 -> 17 ;
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+18 [label="gini = 0.0\nsamples = 1\nvalue = [[1, 0]\n[0, 1]]", fillcolor="#e58139"] ;
17 -> 18 ;
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+19 [label="gini = 0.0\nsamples = 4\nvalue = [[0, 4]\n[4, 0]]", fillcolor="#e58139"] ;
17 -> 19 ;
-20 [label="mean concave points <= 0.049\ngini = 0.088\nsamples = 151\nvalue = [[7, 144]\n[144, 7]]", fillcolor="#e58139d0"] ;
+20 [label="mean concave points <= 0.049\ngini = 0.088\nsamples = 151\nvalue = [[7, 144]\n[144, 7]]", fillcolor="#ea985d"] ;
14 -> 20 ;
-21 [label="concave points error <= 0.01\ngini = 0.48\nsamples = 15\nvalue = [[6, 9]\n[9, 6]]", fillcolor="#e5813900"] ;
+21 [label="concave points error <= 0.01\ngini = 0.48\nsamples = 15\nvalue = [[6, 9]\n[9, 6]]", fillcolor="#ffffff"] ;
20 -> 21 ;
-22 [label="gini = 0.0\nsamples = 9\nvalue = [[0, 9]\n[9, 0]]", fillcolor="#e58139ff"] ;
+22 [label="gini = 0.0\nsamples = 9\nvalue = [[0, 9]\n[9, 0]]", fillcolor="#e58139"] ;
21 -> 22 ;
-23 [label="gini = 0.0\nsamples = 6\nvalue = [[6, 0]\n[0, 6]]", fillcolor="#e58139ff"] ;
+23 [label="gini = 0.0\nsamples = 6\nvalue = [[6, 0]\n[0, 6]]", fillcolor="#e58139"] ;
21 -> 23 ;
-24 [label="worst smoothness <= 0.096\ngini = 0.015\nsamples = 136\nvalue = [[1, 135]\n[135, 1]]", fillcolor="#e58139f7"] ;
+24 [label="mean smoothness <= 0.079\ngini = 0.015\nsamples = 136\nvalue = [[1, 135]\n[135, 1]]", fillcolor="#e6853f"] ;
20 -> 24 ;
-25 [label="gini = 0.0\nsamples = 1\nvalue = [[1, 0]\n[0, 1]]", fillcolor="#e58139ff"] ;
+25 [label="gini = 0.0\nsamples = 1\nvalue = [[1, 0]\n[0, 1]]", fillcolor="#e58139"] ;
24 -> 25 ;
-26 [label="gini = 0.0\nsamples = 135\nvalue = [[0, 135]\n[135, 0]]", fillcolor="#e58139ff"] ;
+26 [label="gini = 0.0\nsamples = 135\nvalue = [[0, 135]\n[135, 0]]", fillcolor="#e58139"] ;
24 -> 26 ;
}
\ No newline at end of file
diff --git a/doc/pub/week47/ipynb/DataFiles/cancer.png b/doc/pub/week47/ipynb/DataFiles/cancer.png
index 2ceb5e1f8..4cab2454f 100644
Binary files a/doc/pub/week47/ipynb/DataFiles/cancer.png and b/doc/pub/week47/ipynb/DataFiles/cancer.png differ
diff --git a/doc/pub/week47/ipynb/DataFiles/ride.dot b/doc/pub/week47/ipynb/DataFiles/ride.dot
index 50aaa7638..7423920c1 100644
--- a/doc/pub/week47/ipynb/DataFiles/ride.dot
+++ b/doc/pub/week47/ipynb/DataFiles/ride.dot
@@ -1,13 +1,13 @@
digraph Tree {
-node [shape=box, style="filled, rounded", color="black", fontname=helvetica] ;
-edge [fontname=helvetica] ;
-0 [label="X[7] <= 0.5\ngini = 0.48\nsamples = 15\nvalue = [4, 10, 1]", fillcolor="#39e5818b"] ;
-1 [label="X[1] <= 0.5\ngini = 0.408\nsamples = 14\nvalue = [4, 10, 0]", fillcolor="#39e58199"] ;
+node [shape=box, style="filled, rounded", color="black", fontname="helvetica"] ;
+edge [fontname="helvetica"] ;
+0 [label="x[13] <= 0.5\ngini = 0.48\nsamples = 15\nvalue = [4, 10, 1]", fillcolor="#93f1ba"] ;
+1 [label="x[1] <= 0.5\ngini = 0.408\nsamples = 14\nvalue = [4, 10, 0]", fillcolor="#88efb3"] ;
0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
-2 [label="gini = 0.48\nsamples = 10\nvalue = [4, 6, 0]", fillcolor="#39e58155"] ;
+2 [label="gini = 0.48\nsamples = 10\nvalue = [4, 6, 0]", fillcolor="#bdf6d5"] ;
1 -> 2 ;
-3 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4, 0]", fillcolor="#39e581ff"] ;
+3 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4, 0]", fillcolor="#39e581"] ;
1 -> 3 ;
-4 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]", fillcolor="#8139e5ff"] ;
+4 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 1]", fillcolor="#8139e5"] ;
0 -> 4 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
}
\ No newline at end of file
diff --git a/doc/pub/week47/ipynb/Results/FigureFiles/baggingboot.png b/doc/pub/week47/ipynb/Results/FigureFiles/baggingboot.png
index 6b7edb4be..c4d248174 100644
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diff --git a/doc/pub/week47/ipynb/Results/FigureFiles/gdclassiffierconfusion.png b/doc/pub/week47/ipynb/Results/FigureFiles/gdclassiffierconfusion.png
index 6eeb87be0..12d78708e 100644
Binary files a/doc/pub/week47/ipynb/Results/FigureFiles/gdclassiffierconfusion.png and b/doc/pub/week47/ipynb/Results/FigureFiles/gdclassiffierconfusion.png differ
diff --git a/doc/pub/week47/ipynb/Results/FigureFiles/gdclassiffierroc.png b/doc/pub/week47/ipynb/Results/FigureFiles/gdclassiffierroc.png
index 142ba57ab..3ab064621 100644
Binary files a/doc/pub/week47/ipynb/Results/FigureFiles/gdclassiffierroc.png and b/doc/pub/week47/ipynb/Results/FigureFiles/gdclassiffierroc.png differ
diff --git a/doc/pub/week47/ipynb/Results/FigureFiles/gdregression.png b/doc/pub/week47/ipynb/Results/FigureFiles/gdregression.png
index 75d3e868e..3d6b3bf47 100644
Binary files a/doc/pub/week47/ipynb/Results/FigureFiles/gdregression.png and b/doc/pub/week47/ipynb/Results/FigureFiles/gdregression.png differ
diff --git a/doc/pub/week47/ipynb/Results/FigureFiles/xdclassiffierconfusion.png b/doc/pub/week47/ipynb/Results/FigureFiles/xdclassiffierconfusion.png
index b203d1aaf..d78b8aa23 100644
Binary files a/doc/pub/week47/ipynb/Results/FigureFiles/xdclassiffierconfusion.png and b/doc/pub/week47/ipynb/Results/FigureFiles/xdclassiffierconfusion.png differ
diff --git a/doc/pub/week47/ipynb/Results/FigureFiles/xgparams.png b/doc/pub/week47/ipynb/Results/FigureFiles/xgparams.png
index 3afce4739..cffeb1454 100644
Binary files a/doc/pub/week47/ipynb/Results/FigureFiles/xgparams.png and b/doc/pub/week47/ipynb/Results/FigureFiles/xgparams.png differ
diff --git a/doc/pub/week47/ipynb/ipynb-week47-src.tar.gz b/doc/pub/week47/ipynb/ipynb-week47-src.tar.gz
index 78b3c2864..868e982e5 100644
Binary files a/doc/pub/week47/ipynb/ipynb-week47-src.tar.gz and b/doc/pub/week47/ipynb/ipynb-week47-src.tar.gz differ
diff --git a/doc/pub/week47/ipynb/week47.ipynb b/doc/pub/week47/ipynb/week47.ipynb
index 0c1345e91..25959d227 100644
--- a/doc/pub/week47/ipynb/week47.ipynb
+++ b/doc/pub/week47/ipynb/week47.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "markdown",
- "id": "4d3fe757",
+ "id": "35ef9776",
"metadata": {
"editable": true
},
@@ -14,7 +14,7 @@
},
{
"cell_type": "markdown",
- "id": "7f85b422",
+ "id": "e52e5823",
"metadata": {
"editable": true
},
@@ -27,7 +27,7 @@
},
{
"cell_type": "markdown",
- "id": "fa24eb3c",
+ "id": "2ec77941",
"metadata": {
"editable": true
},
@@ -62,14 +62,12 @@
"\n",
"f. Video on Gradient boost, part 1, parts 2-4 follow thereafter \n",
"\n",
- "g. Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at . \n",
- "\n",
- "* Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from [STK-IN4300, lecture 7](https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf). Chapter 9.2 of Hastie et al contains also a good discussion."
+ "g. Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at ."
]
},
{
"cell_type": "markdown",
- "id": "d784b210",
+ "id": "1a0d87d6",
"metadata": {
"editable": true
},
@@ -91,7 +89,7 @@
},
{
"cell_type": "markdown",
- "id": "8db0495c",
+ "id": "56e46863",
"metadata": {
"editable": true
},
@@ -103,7 +101,7 @@
},
{
"cell_type": "markdown",
- "id": "d2bee1b4",
+ "id": "5695a619",
"metadata": {
"editable": true
},
@@ -114,7 +112,7 @@
},
{
"cell_type": "markdown",
- "id": "0811715d",
+ "id": "c992a08c",
"metadata": {
"editable": true
},
@@ -136,7 +134,7 @@
},
{
"cell_type": "markdown",
- "id": "e230740b",
+ "id": "3bac813d",
"metadata": {
"editable": true
},
@@ -149,7 +147,7 @@
},
{
"cell_type": "markdown",
- "id": "6fb81b46",
+ "id": "b60d3e74",
"metadata": {
"editable": true
},
@@ -161,7 +159,7 @@
},
{
"cell_type": "markdown",
- "id": "5a6c7eee",
+ "id": "1117615c",
"metadata": {
"editable": true
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@@ -171,7 +169,7 @@
},
{
"cell_type": "markdown",
- "id": "472962b3",
+ "id": "64c09717",
"metadata": {
"editable": true
},
@@ -183,7 +181,7 @@
},
{
"cell_type": "markdown",
- "id": "5569b95d",
+ "id": "fd337b27",
"metadata": {
"editable": true
},
@@ -193,7 +191,7 @@
},
{
"cell_type": "markdown",
- "id": "603c97da",
+ "id": "1502885a",
"metadata": {
"editable": true
},
@@ -205,7 +203,7 @@
},
{
"cell_type": "markdown",
- "id": "a27085de",
+ "id": "d786f912",
"metadata": {
"editable": true
},
@@ -238,7 +236,7 @@
},
{
"cell_type": "markdown",
- "id": "6edce7f4",
+ "id": "5de98f70",
"metadata": {
"editable": true
},
@@ -262,7 +260,7 @@
},
{
"cell_type": "markdown",
- "id": "8ef9b6b3",
+ "id": "7e81e271",
"metadata": {
"editable": true
},
@@ -274,7 +272,7 @@
},
{
"cell_type": "markdown",
- "id": "fff0f5a7",
+ "id": "8845d92b",
"metadata": {
"editable": true
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@@ -286,7 +284,7 @@
},
{
"cell_type": "markdown",
- "id": "f57b665d",
+ "id": "bdf20e39",
"metadata": {
"editable": true
},
@@ -314,7 +312,7 @@
},
{
"cell_type": "markdown",
- "id": "0b74057b",
+ "id": "7bbbb688",
"metadata": {
"editable": true
},
@@ -340,7 +338,7 @@
},
{
"cell_type": "markdown",
- "id": "4610be03",
+ "id": "4ba9ac4b",
"metadata": {
"editable": true
},
@@ -363,7 +361,7 @@
},
{
"cell_type": "markdown",
- "id": "32f831ba",
+ "id": "5714cdd7",
"metadata": {
"editable": true
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@@ -390,7 +388,7 @@
},
{
"cell_type": "markdown",
- "id": "34d5f655",
+ "id": "5c15435f",
"metadata": {
"editable": true
},
@@ -409,7 +407,7 @@
},
{
"cell_type": "markdown",
- "id": "a3de75e0",
+ "id": "eb39940c",
"metadata": {
"editable": true
},
@@ -421,7 +419,7 @@
},
{
"cell_type": "markdown",
- "id": "aa43ee50",
+ "id": "4d9b9e2e",
"metadata": {
"editable": true
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@@ -434,7 +432,7 @@
},
{
"cell_type": "markdown",
- "id": "e1222e38",
+ "id": "d5167f74",
"metadata": {
"editable": true
},
@@ -446,7 +444,7 @@
},
{
"cell_type": "markdown",
- "id": "1395dc91",
+ "id": "01f67bea",
"metadata": {
"editable": true
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@@ -456,7 +454,7 @@
},
{
"cell_type": "markdown",
- "id": "993d40a8",
+ "id": "1e531f1a",
"metadata": {
"editable": true
},
@@ -468,7 +466,7 @@
},
{
"cell_type": "markdown",
- "id": "6bd76b59",
+ "id": "efbea2ac",
"metadata": {
"editable": true
},
@@ -478,7 +476,7 @@
},
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@@ -490,7 +488,7 @@
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@@ -1982,7 +1980,7 @@
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"cell_type": "markdown",
- "id": "074f2715",
+ "id": "027b1d12",
"metadata": {
"editable": true
},
@@ -2680,7 +2678,7 @@
},
{
"cell_type": "markdown",
- "id": "6b9cd07f",
+ "id": "bef74b85",
"metadata": {
"editable": true
},
@@ -2692,7 +2690,7 @@
},
{
"cell_type": "markdown",
- "id": "9e2d6b48",
+ "id": "71e5d396",
"metadata": {
"editable": true
},
@@ -2702,7 +2700,7 @@
},
{
"cell_type": "markdown",
- "id": "62ccf0a7",
+ "id": "9216bec9",
"metadata": {
"editable": true
},
@@ -2714,7 +2712,7 @@
},
{
"cell_type": "markdown",
- "id": "eb44a82b",
+ "id": "fd01ca82",
"metadata": {
"editable": true
},
@@ -2724,7 +2722,7 @@
},
{
"cell_type": "markdown",
- "id": "77d3b6b6",
+ "id": "94eafa92",
"metadata": {
"editable": true
},
@@ -2736,7 +2734,7 @@
},
{
"cell_type": "markdown",
- "id": "19833c4c",
+ "id": "257ef84d",
"metadata": {
"editable": true
},
@@ -2756,7 +2754,7 @@
},
{
"cell_type": "markdown",
- "id": "16a64fa9",
+ "id": "387cf524",
"metadata": {
"editable": true
},
@@ -2768,7 +2766,7 @@
},
{
"cell_type": "markdown",
- "id": "59f6c55e",
+ "id": "7642db24",
"metadata": {
"editable": true
},
@@ -2778,7 +2776,7 @@
},
{
"cell_type": "markdown",
- "id": "2924f5c3",
+ "id": "bfaadd1b",
"metadata": {
"editable": true
},
@@ -2794,7 +2792,7 @@
},
{
"cell_type": "markdown",
- "id": "90cb44df",
+ "id": "00ae56a9",
"metadata": {
"editable": true
},
@@ -2806,7 +2804,7 @@
},
{
"cell_type": "markdown",
- "id": "b717034b",
+ "id": "225ecc0c",
"metadata": {
"editable": true
},
@@ -2834,7 +2832,7 @@
},
{
"cell_type": "markdown",
- "id": "69a1c3b2",
+ "id": "23d21cb5",
"metadata": {
"editable": true
},
@@ -2847,7 +2845,7 @@
{
"cell_type": "code",
"execution_count": 23,
- "id": "d9765eb2",
+ "id": "5b306dbb",
"metadata": {
"collapsed": false,
"editable": true
@@ -2872,7 +2870,7 @@
},
{
"cell_type": "markdown",
- "id": "c83a724d",
+ "id": "1ad57bea",
"metadata": {
"editable": true
},
@@ -2883,7 +2881,7 @@
{
"cell_type": "code",
"execution_count": 24,
- "id": "1e813e36",
+ "id": "9fa47591",
"metadata": {
"collapsed": false,
"editable": true
@@ -2972,7 +2970,7 @@
},
{
"cell_type": "markdown",
- "id": "6fd7e9e4",
+ "id": "23a21ab9",
"metadata": {
"editable": true
},
@@ -2990,7 +2988,7 @@
},
{
"cell_type": "markdown",
- "id": "909ccb01",
+ "id": "894970ab",
"metadata": {
"editable": true
},
@@ -3003,7 +3001,7 @@
},
{
"cell_type": "markdown",
- "id": "b78e9b5e",
+ "id": "ba3e00c7",
"metadata": {
"editable": true
},
@@ -3015,7 +3013,7 @@
},
{
"cell_type": "markdown",
- "id": "7c4fbf62",
+ "id": "025a4a04",
"metadata": {
"editable": true
},
@@ -3025,7 +3023,7 @@
},
{
"cell_type": "markdown",
- "id": "39741e57",
+ "id": "00edbd24",
"metadata": {
"editable": true
},
@@ -3037,7 +3035,7 @@
},
{
"cell_type": "markdown",
- "id": "65eba5f8",
+ "id": "b8e706d0",
"metadata": {
"editable": true
},
@@ -3047,7 +3045,7 @@
},
{
"cell_type": "markdown",
- "id": "be094bbb",
+ "id": "15830208",
"metadata": {
"editable": true
},
@@ -3059,7 +3057,7 @@
},
{
"cell_type": "markdown",
- "id": "206a8a07",
+ "id": "0cea352b",
"metadata": {
"editable": true
},
@@ -3072,7 +3070,7 @@
},
{
"cell_type": "markdown",
- "id": "9aee47fb",
+ "id": "80ef3457",
"metadata": {
"editable": true
},
@@ -3084,7 +3082,7 @@
},
{
"cell_type": "markdown",
- "id": "64a79891",
+ "id": "f8b48156",
"metadata": {
"editable": true
},
@@ -3096,7 +3094,7 @@
},
{
"cell_type": "markdown",
- "id": "aee21863",
+ "id": "85fd2972",
"metadata": {
"editable": true
},
@@ -3108,7 +3106,7 @@
},
{
"cell_type": "markdown",
- "id": "3e74a92e",
+ "id": "2d109d22",
"metadata": {
"editable": true
},
@@ -3118,7 +3116,7 @@
},
{
"cell_type": "markdown",
- "id": "6847f65a",
+ "id": "d06bc383",
"metadata": {
"editable": true
},
@@ -3130,7 +3128,7 @@
},
{
"cell_type": "markdown",
- "id": "a88e52a5",
+ "id": "c3aec756",
"metadata": {
"editable": true
},
@@ -3140,7 +3138,7 @@
},
{
"cell_type": "markdown",
- "id": "24091bb6",
+ "id": "e3a45e4c",
"metadata": {
"editable": true
},
@@ -3156,7 +3154,7 @@
},
{
"cell_type": "markdown",
- "id": "90708c63",
+ "id": "b67a78f2",
"metadata": {
"editable": true
},
@@ -3168,7 +3166,7 @@
},
{
"cell_type": "markdown",
- "id": "4256d51b",
+ "id": "c28b4f95",
"metadata": {
"editable": true
},
@@ -3189,7 +3187,7 @@
},
{
"cell_type": "markdown",
- "id": "e7599597",
+ "id": "e0537946",
"metadata": {
"editable": true
},
@@ -3200,7 +3198,7 @@
{
"cell_type": "code",
"execution_count": 25,
- "id": "17685585",
+ "id": "aeb13f92",
"metadata": {
"collapsed": false,
"editable": true
@@ -3252,7 +3250,7 @@
},
{
"cell_type": "markdown",
- "id": "5b4d25ad",
+ "id": "0f3ebcc3",
"metadata": {
"editable": true
},
@@ -3263,7 +3261,7 @@
{
"cell_type": "code",
"execution_count": 26,
- "id": "54e22258",
+ "id": "5cd3bdba",
"metadata": {
"collapsed": false,
"editable": true
@@ -3314,7 +3312,7 @@
},
{
"cell_type": "markdown",
- "id": "c3376d0e",
+ "id": "898b364e",
"metadata": {
"editable": true
},
@@ -3337,7 +3335,7 @@
},
{
"cell_type": "markdown",
- "id": "94fc7ffc",
+ "id": "33ef99cd",
"metadata": {
"editable": true
},
@@ -3348,7 +3346,7 @@
{
"cell_type": "code",
"execution_count": 27,
- "id": "8587790e",
+ "id": "e824145e",
"metadata": {
"collapsed": false,
"editable": true
@@ -3400,7 +3398,7 @@
},
{
"cell_type": "markdown",
- "id": "418026aa",
+ "id": "d3afaeea",
"metadata": {
"editable": true
},
@@ -3413,7 +3411,7 @@
{
"cell_type": "code",
"execution_count": 28,
- "id": "49c68c87",
+ "id": "c751b513",
"metadata": {
"collapsed": false,
"editable": true
@@ -3476,7 +3474,7 @@
},
{
"cell_type": "markdown",
- "id": "83b8ac13",
+ "id": "219c871d",
"metadata": {
"editable": true
},
@@ -3487,7 +3485,7 @@
{
"cell_type": "code",
"execution_count": 29,
- "id": "005435c1",
+ "id": "8b7d107b",
"metadata": {
"collapsed": false,
"editable": true
diff --git a/doc/src/week47/week47.do.txt b/doc/src/week47/week47.do.txt
index ac861482e..0f17f46fc 100644
--- a/doc/src/week47/week47.do.txt
+++ b/doc/src/week47/week47.do.txt
@@ -23,7 +23,6 @@ o Readings and Videos:
o Video on AdaBoost URL:"https://www.youtube.com/watch?v=LsK-xG1cLYA"
o Video on Gradient boost, part 1, parts 2-4 follow thereafter URL:"https://www.youtube.com/watch?v=3CC4N4z3GJc"
o Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at URL:"https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf".
-* Decision Trees: Geron's chapter 6 covers decision trees while ensemble models, voting and bagging are discussed in chapter 7. See also lecture from "STK-IN4300, lecture 7":"https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf". Chapter 9.2 of Hastie et al contains also a good discussion.
!eblock