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jurand71/knn_5.py Secret

Created November 16, 2022 08:46
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knn_5.py
print("Dokładność modelu dla k=1")
classifier = KNearestNeighbor()
classifier.train(X_train, y_train)
dists = classifier.compute_distances_no_loops(X_test)
y_pred = classifier.predict_labels(dists, k=1)
num_correct = np.sum(y_pred == y_test)
num_test = X_test.shape[0]
accuracy = float(num_correct) / num_test
print('Poprawnie zidentyfikowano %d na %d obrazów testowych => dokładność: %f' % (num_correct, num_test, accuracy))
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