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AI-MOO/10_human_activity.py Secret

Last active May 6, 2022 09:30
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10_human_activity.py
# تدريب النموذج على بيانات التدريب
SVC_clf = SVC().fit(X_train, y_train)
# اختبار النموذج عن طريق توقع بيانات الاختبار
SVC_prediction = SVC_clf.predict(X_test)
# التحقق من ضبط النموذج عن طريق مقارنة القيم الحقيقية و القيم المتوقعة
SVC_accuracy = accuracy_score(y_test, SVC_prediction)*100
# Accuracy | الضبط
print(f'Support Vector Classifier accuracy: {SVC_accuracy:.2f} %')
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