mirror of
https://github.com/fenago/data-science.git
synced 2026-05-04 00:22:32 +00:00
fenago
46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
import unittest
|
|
import import_ipynb
|
|
import pandas as pd
|
|
import pandas.testing as pd_testing
|
|
import numpy.testing as np_testing
|
|
|
|
from sklearn.ensemble import RandomForestClassifier
|
|
from sklearn.metrics import accuracy_score
|
|
|
|
|
|
class Test(unittest.TestCase):
|
|
def setUp(self):
|
|
import Activity1_1
|
|
self.exercises = Activity1_1
|
|
|
|
self.file_url = '../Dataset/dataset_44_spambase.csv'
|
|
self.df = pd.read_csv(self.file_url)
|
|
self.target = self.df.pop('class')
|
|
self.seed = 168
|
|
self.rf_model = RandomForestClassifier(random_state=self.seed)
|
|
self.rf_model.fit(self.df, self.target)
|
|
self.preds = self.rf_model.predict(self.df)
|
|
self.acc_score = accuracy_score(self.target, self.preds)
|
|
|
|
def test_file_url(self):
|
|
self.assertEqual(self.exercises.file_url, self.file_url)
|
|
|
|
def test_df(self):
|
|
pd_testing.assert_frame_equal(self.exercises.df, self.df)
|
|
|
|
def test_target(self):
|
|
np_testing.assert_array_equal(self.exercises.target, self.target)
|
|
|
|
def test_seed(self):
|
|
self.assertEqual(self.exercises.seed, self.seed)
|
|
|
|
def test_preds(self):
|
|
np_testing.assert_array_equal(self.exercises.preds, self.preds)
|
|
|
|
def test_acc_score(self):
|
|
self.assertEqual(self.exercises.acc_score, self.acc_score)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|