# Create Bagged Predictor
forest2 = RandomForest(training_table, 2)
forest2.BuildNTrees(1)
forest4 = RandomForest(training_table, 4)
forest4.BuildNTrees(1)
forest6 = RandomForest(training_table, 6)
forest6.BuildNTrees(1)
for i in range(0, range_end):
print(i+1, '/', range_end)
training_accuracy2.append(forest2.GetAccuracyLevel(training_table))
testing_accuracy2.append(forest2.GetAccuracyLevel(testing_table))
forest2.BuildNTrees(1)
training_accuracy4.append(forest4.GetAccuracyLevel(training_table))
testing_accuracy4.append(forest4.GetAccuracyLevel(testing_table))
forest4.BuildNTrees(1)
training_accuracy6.append(forest6.GetAccuracyLevel(training_table))
testing_accuracy6.append(forest6.GetAccuracyLevel(testing_table))
forest6.BuildNTrees(1)
num_trees.append(len(forest.trees))
forest.BuildNTrees(1)
