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# 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