def main():
UsefulFunctions.warning()
# Building Phase
first_X, first_Y = UsefulFunctions.loadVehicleData()
clf_first, first_training_score, first_training_data, first_testing_data, first_graph_data = analyze(
first_X, first_Y)
print(
"Decision Tree Training Score (first) After Cross Validation: {0:.2f}%"
.format(first_training_score * 100))
UsefulFunctions.calc_accuracy(first_training_data[1],
clf_first.predict(first_training_data[0]),
first_testing_data[1],
clf_first.predict(first_testing_data[0]))
second_X, second_Y = UsefulFunctions.loadWineData()
clf_second, second_training_score, second_training_data, second_testing_data, second_graph_data = analyze(
second_X, second_Y)
print(
"Decision Tree Training Score (second) After Cross Validation: {0:.2f}%"
.format(second_training_score * 100))
UsefulFunctions.calc_accuracy(second_training_data[1],
clf_second.predict(second_training_data[0]),
second_testing_data[1],
clf_second.predict(second_testing_data[0]))
def mainCurves():
UsefulFunctions.warning()
first_X, first_Y = UsefulFunctions.loadVehicleData()
first_graph_data = analyzePerNeighbor(first_X, first_Y)
second_X, second_Y = UsefulFunctions.loadWineData()
second_graph_data = analyzePerNeighbor(second_X, second_Y)
graphDataCurves(first_graph_data, second_graph_data)
