# Unit test for metrics | |
import numpy as np | |
from sklearn.metrics import accuracy_score | |
def test_metrics(): | |
y_true = np.array([0,1,2,0,1,2]) | |
y_pred = np.array([0,2,1,0,0,2]) | |
accuracy = accuracy_score(y_true, y_pred) | |
assert accuracy >= 0.2 | |
# Unit test for metrics | |
import numpy as np | |
from sklearn.metrics import accuracy_score | |
def test_metrics(): | |
y_true = np.array([0,1,2,0,1,2]) | |
y_pred = np.array([0,2,1,0,0,2]) | |
accuracy = accuracy_score(y_true, y_pred) | |
assert accuracy >= 0.2 | |