diff --git a/doc/pub/week45/html/._week45-bs001.html b/doc/pub/week45/html/._week45-bs001.html
index 8e33d79ed..418174ccf 100644
--- a/doc/pub/week45/html/._week45-bs001.html
+++ b/doc/pub/week45/html/._week45-bs001.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
-We can use the voting classifier on other data sets, here the excting binary case of two distinct objects using the make moons functionality of -Scikit-Learn-.
+We can use the voting classifier on other data sets, here the exciting binary case of two distinct objects using the make moons functionality of Scikit-Learn.
diff --git a/doc/pub/week45/html/._week45-bs008.html b/doc/pub/week45/html/._week45-bs008.html
index 533087e2f..865d7f190 100644
--- a/doc/pub/week45/html/._week45-bs008.html
+++ b/doc/pub/week45/html/._week45-bs008.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
diff --git a/doc/pub/week45/html/._week45-bs009.html b/doc/pub/week45/html/._week45-bs009.html
index 24625be5e..eb2e80371 100644
--- a/doc/pub/week45/html/._week45-bs009.html
+++ b/doc/pub/week45/html/._week45-bs009.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- - Draw a bootstrap sample of from the training data organized in our \( \boldsymbol{X} \) matrix.
+ - Draw a bootstrap sample from the training data organized in our \( \boldsymbol{X} \) matrix.
- We grow then a random forest tree \( T_b \) based on the bootstrapped data by repeating the steps outlined till we reach the maximum node size is reached
- we select \( m \le p \) variables at random from the \( p \) predictors/features
- - pick the best split point among the \( m \) features using either the CART algorithm or the ID3 for classification and create a new node
+ - pick the best split point among the \( m \) features using for example the CART algorithm and create a new node
- split the node into daughter nodes
diff --git a/doc/pub/week45/html/._week45-bs011.html b/doc/pub/week45/html/._week45-bs011.html
index ce7c3b94f..78711efaa 100644
--- a/doc/pub/week45/html/._week45-bs011.html
+++ b/doc/pub/week45/html/._week45-bs011.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs012.html b/doc/pub/week45/html/._week45-bs012.html
index b0261fcc2..b768c0ca3 100644
--- a/doc/pub/week45/html/._week45-bs012.html
+++ b/doc/pub/week45/html/._week45-bs012.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs013.html b/doc/pub/week45/html/._week45-bs013.html
index 5b29dc76e..572176624 100644
--- a/doc/pub/week45/html/._week45-bs013.html
+++ b/doc/pub/week45/html/._week45-bs013.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs014.html b/doc/pub/week45/html/._week45-bs014.html
index ea2678715..addc2cf8e 100644
--- a/doc/pub/week45/html/._week45-bs014.html
+++ b/doc/pub/week45/html/._week45-bs014.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs015.html b/doc/pub/week45/html/._week45-bs015.html
index 9b68c6fb6..91d7179b8 100644
--- a/doc/pub/week45/html/._week45-bs015.html
+++ b/doc/pub/week45/html/._week45-bs015.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs016.html b/doc/pub/week45/html/._week45-bs016.html
index e4b5c4e43..d475ad0e5 100644
--- a/doc/pub/week45/html/._week45-bs016.html
+++ b/doc/pub/week45/html/._week45-bs016.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs017.html b/doc/pub/week45/html/._week45-bs017.html
index 930421ffb..e9f7dc06a 100644
--- a/doc/pub/week45/html/._week45-bs017.html
+++ b/doc/pub/week45/html/._week45-bs017.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs018.html b/doc/pub/week45/html/._week45-bs018.html
index 9809975d5..a9ac11535 100644
--- a/doc/pub/week45/html/._week45-bs018.html
+++ b/doc/pub/week45/html/._week45-bs018.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs019.html b/doc/pub/week45/html/._week45-bs019.html
index 5ff86bcb3..1ee10d474 100644
--- a/doc/pub/week45/html/._week45-bs019.html
+++ b/doc/pub/week45/html/._week45-bs019.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs020.html b/doc/pub/week45/html/._week45-bs020.html
index 7517b8b63..2e84942e5 100644
--- a/doc/pub/week45/html/._week45-bs020.html
+++ b/doc/pub/week45/html/._week45-bs020.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs021.html b/doc/pub/week45/html/._week45-bs021.html
index f7af6e5d2..f59a697b6 100644
--- a/doc/pub/week45/html/._week45-bs021.html
+++ b/doc/pub/week45/html/._week45-bs021.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs022.html b/doc/pub/week45/html/._week45-bs022.html
index a7caf0283..b4a8abcb5 100644
--- a/doc/pub/week45/html/._week45-bs022.html
+++ b/doc/pub/week45/html/._week45-bs022.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs023.html b/doc/pub/week45/html/._week45-bs023.html
index 8550e2ee9..a09f55555 100644
--- a/doc/pub/week45/html/._week45-bs023.html
+++ b/doc/pub/week45/html/._week45-bs023.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs024.html b/doc/pub/week45/html/._week45-bs024.html
index ab2314a39..806ef04bd 100644
--- a/doc/pub/week45/html/._week45-bs024.html
+++ b/doc/pub/week45/html/._week45-bs024.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs025.html b/doc/pub/week45/html/._week45-bs025.html
index 0b8e751b3..7b8aac30a 100644
--- a/doc/pub/week45/html/._week45-bs025.html
+++ b/doc/pub/week45/html/._week45-bs025.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs026.html b/doc/pub/week45/html/._week45-bs026.html
index 27868697d..375d80296 100644
--- a/doc/pub/week45/html/._week45-bs026.html
+++ b/doc/pub/week45/html/._week45-bs026.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs027.html b/doc/pub/week45/html/._week45-bs027.html
index b7280c353..47e08d5eb 100644
--- a/doc/pub/week45/html/._week45-bs027.html
+++ b/doc/pub/week45/html/._week45-bs027.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs028.html b/doc/pub/week45/html/._week45-bs028.html
index 0f939bf3a..36fc3e26f 100644
--- a/doc/pub/week45/html/._week45-bs028.html
+++ b/doc/pub/week45/html/._week45-bs028.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs029.html b/doc/pub/week45/html/._week45-bs029.html
index 605e57ba2..65aab11d6 100644
--- a/doc/pub/week45/html/._week45-bs029.html
+++ b/doc/pub/week45/html/._week45-bs029.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs030.html b/doc/pub/week45/html/._week45-bs030.html
index 11e7c5598..98c358441 100644
--- a/doc/pub/week45/html/._week45-bs030.html
+++ b/doc/pub/week45/html/._week45-bs030.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs031.html b/doc/pub/week45/html/._week45-bs031.html
index 06869a25b..b41fc7b49 100644
--- a/doc/pub/week45/html/._week45-bs031.html
+++ b/doc/pub/week45/html/._week45-bs031.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/._week45-bs032.html b/doc/pub/week45/html/._week45-bs032.html
index f5ef5b6a1..c4977b9cb 100644
--- a/doc/pub/week45/html/._week45-bs032.html
+++ b/doc/pub/week45/html/._week45-bs032.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
diff --git a/doc/pub/week45/html/week45-bs.html b/doc/pub/week45/html/week45-bs.html
index 91aa4e4a1..2ff6da2a5 100644
--- a/doc/pub/week45/html/week45-bs.html
+++ b/doc/pub/week45/html/week45-bs.html
@@ -48,10 +48,7 @@ Automatically generated HTML file from DocOnce source
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -154,7 +151,7 @@ MathJax.Hub.Config({
- Standard imports first
- Simple Voting Example, head or tail
- Using the Voting Classifier
- - Please, not the moons again! Voting and Bagging
+ - Voting and Bagging
- Random forests
- Random Forest Algorithm
- Random Forests Compared with other Methods on the Cancer Data
@@ -214,7 +211,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
-
Nov 3, 2020
+Nov 5, 2020
diff --git a/doc/pub/week45/html/week45-reveal.html b/doc/pub/week45/html/week45-reveal.html
index 2604858f8..5780d14d1 100644
--- a/doc/pub/week45/html/week45-reveal.html
+++ b/doc/pub/week45/html/week45-reveal.html
@@ -148,7 +148,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
-
Nov 3, 2020
+Nov 5, 2020
@@ -319,7 +319,7 @@ plt.show()
Using the Voting Classifier
-We can use the voting classifier on other data sets, here the excting binary case of two distinct objects using the make moons functionality of -Scikit-Learn-.
+We can use the voting classifier on other data sets, here the exciting binary case of two distinct objects using the make moons functionality of Scikit-Learn.
@@ -370,7 +370,7 @@ voting_clf.fit(X_train, y_train)
-Please, not the moons again! Voting and Bagging
+Voting and Bagging
@@ -487,7 +487,7 @@ We will grow of forest of say \( B \) trees.
-- Draw a bootstrap sample of from the training data organized in our \( \boldsymbol{X} \) matrix.
+- Draw a bootstrap sample from the training data organized in our \( \boldsymbol{X} \) matrix.
- We grow then a random forest tree \( T_b \) based on the bootstrapped data by repeating the steps outlined till we reach the maximum node size is reached
@@ -495,7 +495,7 @@ We will grow of forest of say \( B \) trees.
- we select \( m \le p \) variables at random from the \( p \) predictors/features
-- pick the best split point among the \( m \) features using either the CART algorithm or the ID3 for classification and create a new node
+- pick the best split point among the \( m \) features using for example the CART algorithm and create a new node
- split the node into daughter nodes
diff --git a/doc/pub/week45/html/week45-solarized.html b/doc/pub/week45/html/week45-solarized.html
index 270a6f183..76936e633 100644
--- a/doc/pub/week45/html/week45-solarized.html
+++ b/doc/pub/week45/html/week45-solarized.html
@@ -42,10 +42,7 @@ div { text-align: justify; text-justify: inter-word; }
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -145,7 +142,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
-
Nov 3, 2020
+Nov 5, 2020
@@ -307,7 +304,7 @@ plt.show()
Using the Voting Classifier
-We can use the voting classifier on other data sets, here the excting binary case of two distinct objects using the make moons functionality of -Scikit-Learn-.
+We can use the voting classifier on other data sets, here the exciting binary case of two distinct objects using the make moons functionality of Scikit-Learn.
@@ -357,7 +354,7 @@ voting_clf.fit(X_train, y_train)
-
Please, not the moons again! Voting and Bagging
+Voting and Bagging
@@ -470,12 +467,12 @@ We will grow of forest of say \( B \) trees.
- For \( b=1:B \)
- - Draw a bootstrap sample of from the training data organized in our \( \boldsymbol{X} \) matrix.
+ - Draw a bootstrap sample from the training data organized in our \( \boldsymbol{X} \) matrix.
- We grow then a random forest tree \( T_b \) based on the bootstrapped data by repeating the steps outlined till we reach the maximum node size is reached
- we select \( m \le p \) variables at random from the \( p \) predictors/features
- - pick the best split point among the \( m \) features using either the CART algorithm or the ID3 for classification and create a new node
+ - pick the best split point among the \( m \) features using for example the CART algorithm and create a new node
- split the node into daughter nodes
diff --git a/doc/pub/week45/html/week45.html b/doc/pub/week45/html/week45.html
index ab66fb0d5..502945a3a 100644
--- a/doc/pub/week45/html/week45.html
+++ b/doc/pub/week45/html/week45.html
@@ -47,10 +47,7 @@ div { text-align: justify; text-justify: inter-word; }
('Standard imports first', 2, None, '___sec4'),
('Simple Voting Example, head or tail', 2, None, '___sec5'),
('Using the Voting Classifier', 2, None, '___sec6'),
- ('Please, not the moons again! Voting and Bagging',
- 2,
- None,
- '___sec7'),
+ ('Voting and Bagging', 2, None, '___sec7'),
('Random forests', 2, None, '___sec8'),
('Random Forest Algorithm', 2, None, '___sec9'),
('Random Forests Compared with other Methods on the Cancer Data',
@@ -150,7 +147,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
-
Nov 3, 2020
+Nov 5, 2020
@@ -312,7 +309,7 @@ plt.show()
Using the Voting Classifier
-We can use the voting classifier on other data sets, here the excting binary case of two distinct objects using the make moons functionality of -Scikit-Learn-.
+We can use the voting classifier on other data sets, here the exciting binary case of two distinct objects using the make moons functionality of Scikit-Learn.
@@ -362,7 +359,7 @@ voting_clf.fit(X_train, y_train)
-
Please, not the moons again! Voting and Bagging
+Voting and Bagging
@@ -475,12 +472,12 @@ We will grow of forest of say \( B \) trees.
- For \( b=1:B \)
- - Draw a bootstrap sample of from the training data organized in our \( \boldsymbol{X} \) matrix.
+ - Draw a bootstrap sample from the training data organized in our \( \boldsymbol{X} \) matrix.
- We grow then a random forest tree \( T_b \) based on the bootstrapped data by repeating the steps outlined till we reach the maximum node size is reached
- we select \( m \le p \) variables at random from the \( p \) predictors/features
- - pick the best split point among the \( m \) features using either the CART algorithm or the ID3 for classification and create a new node
+ - pick the best split point among the \( m \) features using for example the CART algorithm and create a new node
- split the node into daughter nodes
diff --git a/doc/pub/week45/ipynb/ipynb-week45-src.tar.gz b/doc/pub/week45/ipynb/ipynb-week45-src.tar.gz
index 340bd56c3..8f2afcb56 100644
Binary files a/doc/pub/week45/ipynb/ipynb-week45-src.tar.gz and b/doc/pub/week45/ipynb/ipynb-week45-src.tar.gz differ
diff --git a/doc/pub/week45/ipynb/week45.ipynb b/doc/pub/week45/ipynb/week45.ipynb
index 2f644ce7c..eaf40b831 100644
--- a/doc/pub/week45/ipynb/week45.ipynb
+++ b/doc/pub/week45/ipynb/week45.ipynb
@@ -10,7 +10,7 @@
" \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 3, 2020**\n",
+ "Date: **Nov 5, 2020**\n",
"\n",
"Copyright 1999-2020, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license\n",
"\n",
@@ -77,7 +77,9 @@
{
"cell_type": "code",
"execution_count": 1,
- "metadata": {},
+ "metadata": {
+ "collapsed": false
+ },
"outputs": [],
"source": [
"%matplotlib inline\n",
@@ -131,6 +133,7 @@
{
"cell_type": "code",
"execution_count": 2,
+<<<<<<< HEAD
"metadata": {},
"outputs": [
{
@@ -146,6 +149,12 @@
"output_type": "display_data"
}
],
+=======
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+>>>>>>> 0774f10a39f1d01786cbca8cb3aa753f1be28a8e
"source": [
"\n",
"# Common imports\n",
@@ -178,29 +187,16 @@
"source": [
"## Using the Voting Classifier\n",
"\n",
- "We can use the voting classifier on other data sets, here the excting binary case of two distinct objects using the make moons functionality of -Scikit-Learn-."
+ "We can use the voting classifier on other data sets, here the exciting binary case of two distinct objects using the make moons functionality of **Scikit-Learn**."
]
},
{
"cell_type": "code",
"execution_count": 3,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "LogisticRegression 0.864\n",
- "RandomForestClassifier 0.872\n",
- "SVC 0.888\n",
- "VotingClassifier 0.896\n",
- "LogisticRegression 0.864\n",
- "RandomForestClassifier 0.872\n",
- "SVC 0.888\n",
- "VotingClassifier 0.912\n"
- ]
- }
- ],
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
"source": [
"from sklearn.model_selection import train_test_split\n",
"from sklearn.datasets import make_moons\n",
@@ -250,27 +246,16 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Please, not the moons again! Voting and Bagging"
+ "## Voting and Bagging"
]
},
{
"cell_type": "code",
"execution_count": 4,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "VotingClassifier(estimators=[('lr', LogisticRegression(random_state=42)),\n",
- " ('rf', RandomForestClassifier(random_state=42)),\n",
- " ('svc', SVC(random_state=42))])"
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
"source": [
"from sklearn.model_selection import train_test_split\n",
"from sklearn.datasets import make_moons\n",
@@ -295,19 +280,10 @@
{
"cell_type": "code",
"execution_count": 5,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "LogisticRegression 0.864\n",
- "RandomForestClassifier 0.896\n",
- "SVC 0.896\n",
- "VotingClassifier 0.912\n"
- ]
- }
- ],
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
"source": [
"from sklearn.metrics import accuracy_score\n",
"\n",
@@ -320,22 +296,10 @@
{
"cell_type": "code",
"execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "VotingClassifier(estimators=[('lr', LogisticRegression(random_state=42)),\n",
- " ('rf', RandomForestClassifier(random_state=42)),\n",
- " ('svc', SVC(probability=True, random_state=42))],\n",
- " voting='soft')"
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
"source": [
"log_clf = LogisticRegression(random_state=42)\n",
"rnd_clf = RandomForestClassifier(random_state=42)\n",
@@ -350,19 +314,10 @@
{
"cell_type": "code",
"execution_count": 7,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "LogisticRegression 0.864\n",
- "RandomForestClassifier 0.896\n",
- "SVC 0.896\n",
- "VotingClassifier 0.92\n"
- ]
- }
- ],
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
"source": [
"from sklearn.metrics import accuracy_score\n",
"\n",
@@ -429,13 +384,13 @@
"We will grow of forest of say $B$ trees.\n",
"1. For $b=1:B$\n",
"\n",
- " * Draw a bootstrap sample of from the training data organized in our $\\boldsymbol{X}$ matrix.\n",
+ " * Draw a bootstrap sample from the training data organized in our $\\boldsymbol{X}$ matrix.\n",
"\n",
" * We grow then a random forest tree $T_b$ based on the bootstrapped data by repeating the steps outlined till we reach the maximum node size is reached\n",
"\n",
"1. we select $m \\le p$ variables at random from the $p$ predictors/features\n",
"\n",
- "2. pick the best split point among the $m$ features using either the CART algorithm or the ID3 for classification and create a new node\n",
+ "2. pick the best split point among the $m$ features using for example the CART algorithm and create a new node\n",
"\n",
"3. split the node into daughter nodes\n",
"\n",
@@ -449,6 +404,7 @@
{
"cell_type": "code",
"execution_count": 8,
+<<<<<<< HEAD
"metadata": {},
"outputs": [
{
@@ -525,6 +481,12 @@
"output_type": "display_data"
}
],
+=======
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+>>>>>>> 0774f10a39f1d01786cbca8cb3aa753f1be28a8e
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
@@ -604,7 +566,9 @@
{
"cell_type": "code",
"execution_count": 9,
- "metadata": {},
+ "metadata": {
+ "collapsed": false
+ },
"outputs": [],
"source": [
"bag_clf = BaggingClassifier(\n",
@@ -615,19 +579,10 @@
{
"cell_type": "code",
"execution_count": 10,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.9790209790209791"
- ]
- },
- "execution_count": 10,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
"source": [
"bag_clf.fit(X_train, y_train)\n",
"y_pred = bag_clf.predict(X_test)\n",
@@ -1168,6 +1123,7 @@
{
"cell_type": "code",
"execution_count": 11,
+<<<<<<< HEAD
"metadata": {},
"outputs": [
{
@@ -1207,6 +1163,12 @@
"output_type": "display_data"
}
],
+=======
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+>>>>>>> 0774f10a39f1d01786cbca8cb3aa753f1be28a8e
"source": [
"from sklearn.ensemble import AdaBoostClassifier\n",
"\n",
@@ -1416,6 +1378,7 @@
{
"cell_type": "code",
"execution_count": 12,
+<<<<<<< HEAD
"metadata": {},
"outputs": [
{
@@ -1478,6 +1441,12 @@
"output_type": "display_data"
}
],
+=======
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+>>>>>>> 0774f10a39f1d01786cbca8cb3aa753f1be28a8e
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
@@ -1537,6 +1506,7 @@
{
"cell_type": "code",
"execution_count": 13,
+<<<<<<< HEAD
"metadata": {},
"outputs": [
{
@@ -1587,6 +1557,12 @@
"output_type": "display_data"
}
],
+=======
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+>>>>>>> 0774f10a39f1d01786cbca8cb3aa753f1be28a8e
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
@@ -1656,6 +1632,7 @@
{
"cell_type": "code",
"execution_count": 14,
+<<<<<<< HEAD
"metadata": {},
"outputs": [
{
@@ -1755,6 +1732,12 @@
"output_type": "display_data"
}
],
+=======
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+>>>>>>> 0774f10a39f1d01786cbca8cb3aa753f1be28a8e
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
@@ -1816,6 +1799,7 @@
{
"cell_type": "code",
"execution_count": 15,
+<<<<<<< HEAD
"metadata": {},
"outputs": [
{
@@ -1897,6 +1881,12 @@
"output_type": "display_data"
}
],
+=======
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+>>>>>>> 0774f10a39f1d01786cbca8cb3aa753f1be28a8e
"source": [
"\n",
"import matplotlib.pyplot as plt\n",
@@ -1960,6 +1950,7 @@
"source": []
}
],
+<<<<<<< HEAD
"metadata": {
"kernelspec": {
"display_name": "Python 3",
@@ -1979,6 +1970,9 @@
"version": "3.6.8"
}
},
+=======
+ "metadata": {},
+>>>>>>> 0774f10a39f1d01786cbca8cb3aa753f1be28a8e
"nbformat": 4,
"nbformat_minor": 4
}
diff --git a/doc/src/week45/week45.do.txt b/doc/src/week45/week45.do.txt
index ee33c888d..0f8833058 100644
--- a/doc/src/week45/week45.do.txt
+++ b/doc/src/week45/week45.do.txt
@@ -141,7 +141,7 @@ plt.show()
!split
===== Using the Voting Classifier =====
-We can use the voting classifier on other data sets, here the excting binary case of two distinct objects using the make moons functionality of -Scikit-Learn-.
+We can use the voting classifier on other data sets, here the exciting binary case of two distinct objects using the make moons functionality of _Scikit-Learn_.
!bc pycod
from sklearn.model_selection import train_test_split
from sklearn.datasets import make_moons
@@ -192,7 +192,7 @@ for clf in (log_clf, rnd_clf, svm_clf, voting_clf):
!split
-===== Please, not the moons again! Voting and Bagging =====
+===== Voting and Bagging =====
!bc pycod
from sklearn.model_selection import train_test_split
@@ -295,10 +295,10 @@ The algorithm described here can be applied to both classification and regressio
We will grow of forest of say $B$ trees.
o For $b=1:B$
- * Draw a bootstrap sample of from the training data organized in our $\bm{X}$ matrix.
+ * Draw a bootstrap sample from the training data organized in our $\bm{X}$ matrix.
* We grow then a random forest tree $T_b$ based on the bootstrapped data by repeating the steps outlined till we reach the maximum node size is reached
o we select $m \le p$ variables at random from the $p$ predictors/features
- o pick the best split point among the $m$ features using either the CART algorithm or the ID3 for classification and create a new node
+ o pick the best split point among the $m$ features using for example the CART algorithm and create a new node
o split the node into daughter nodes
o Output then the ensemble of trees $\{T_b\}_1^{B}$ and make predictions for either a regression type of problem or a classification type of problem.