This section contains assessments for the following topics:
k-Nearest Neighbors
Decision trees: gini coefficient and information gain
Introduction to random forests
Confusion matrices, misclassification rates
Base line errors and lift
This section contains assessments for the following topics:
k-Nearest Neighbors
Decision trees: gini coefficient and information gain
Introduction to random forests
Confusion matrices, misclassification rates
Base line errors and lift
[LF_dataworld]