def _show_statistics(self):
print("Creating statistics...")
main.EXTRACT_ALL_FEATURES = True
x, y = self._get_data_tuples()
labels = Preprocessing.get_labels()
# print(y)
stats = Statistics(x, y, labels)
stats.create()
def _reverse_sbs_scores(self):
print("Looking for best features...")
x, y = self._get_data_tuples()
print(len(y))
ai = AI()
features, accuracy = ai.reverse_sbs_score(x, y)
labels = Preprocessing.get_labels()
print(f"Max accuracy is {accuracy}")
print("Features:")
for f in features:
print(labels[f])
def _random_forest_scores(self):
print("Looking for best features...")
x, y = self._get_data_tuples()
ai = AI()
ai.random_forest_score(x, y, Preprocessing.get_labels())