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AI-MOO/14_human_activity.py Secret

Created May 6, 2022 10:15
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14_human_activity.py
# تدريب النموذج على بيانات التدريب
KN_clf = KNeighborsClassifier().fit(X_train, y_train)
# اختبار النموذج عن طريق توقع بيانات الاختبار
KN_prediction = KN_clf.predict(X_test)
# التحقق من ضبط النموذج عن طريق مقارنة القيم الحقيقية و القيم المتوقعة
KN_accuracy = accuracy_score(y_test, KN_prediction)*100
# Accuracy | الضبط
print('K Nearest Neighbors Classifier accuracy: {}%'.format(KN_accuracy))
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