print number of features in ch04

code/ch04/ch04.py

@@ -613,8 +613,8 @@ def _calc_score(self, X_train, y_train, X_test, y_test, indices):
 
 sfm = SelectFromModel(forest, threshold=0.1, prefit=True)
 X_selected = sfm.transform(X_train)
-print('Number of samples that meet this criterion:', 
-      X_selected.shape[0])
+print('Number of features that meet this threshold criterion:', 
+      X_selected.shape[1])
 
 
 # Now, let's print the 3 features that met the threshold criterion for feature selection that we set earlier (note that this code snippet does not appear in the actual book but was added to this notebook later for illustrative purposes):

docs/errata/README.md

@@ -7,7 +7,7 @@ To turn those annoyances into something positive, I will donate $5 to [UNICEF US
 Also below, I added a small leaderboard to keep track of the errata submissions and errors you found. Please let me know if you don't want to be explicitely mentioned in that list! 
 
 
-- Amount for the next donation: 65$
+- Amount for the next donation: 70$
 - Amount donated: 0$
 
 
@@ -18,11 +18,11 @@ Contributor list:
 
 7. gabramson ($15)
 1. Gogy ($10)
+6. Oliver Tomic ($10)
 2. Christian Geier ($5)
 3. Pieter Algra / Carlos Zada ($5)
 4. @gabramson ($5)
 5. Elias Strehle ($5)
-6. Oliver Tomic ($5)
 7. Krishna Mohan ($5)
 8. Jesse Blocher ($5)
 
@@ -81,6 +81,25 @@ instead of
 
 It seems that I did it correctly in the notebook. Also, the list of feature importances and the plot seem to be correct in the book. However, somehow the [indices] array index went missing in the print version.
 
+pg. 138
+
+Instead of writing
+
+```
+ >>> print('Number of samples that meet this criterion:',
+   ...       X_selected.shape[0])
+   Number of samples that meet this criterion: 124
+```
+
+it would make more sense to write
+
+```
+ >>> print('Number of features that meet this threshold criterion:',
+   ...       X_selected.shape[1])
+   Number of features that meet this threshold criterion: 5
+```
+
+
 
 pg. 155