Random Forest

In this project we solve the banknote classification task with a random forest.

Load Data Set

Task: Load the banknotes data set (cf. Detecting Forgery with k-NN). Drop the entropy column.

# your solution

Random Forest

Task: Train and evaluate a random forest with 50 trees. Use fixed depth to restrict tree sizes. Choose the depth by hyperparameter optimization.

Solution:

# your solution

Decision Surface

Task: Train a second forest based on variance and skewness only. Plot the decision surface (the surface separating the classes) with Matplotlib’s contour or contourf.

Solution:

# your solution