Update eval.py
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@ -10,7 +10,7 @@ def eval():
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# Re-train 10 times in order to reduce effects of randomness
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for i in range(10):
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### TODO: Exercise 5
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### TODO: Exercise 4-1
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### 1. Load data from traces file
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### 2. Split data into X_train, X_test, y_train, y_test with train_test_split
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### 3. Train classifier with X_train and y_train
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@ -20,7 +20,7 @@ def eval():
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y_test_full.extend(y_test)
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y_pred_full.extend(y_pred)
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### TODO: Exercise 5 (continued)
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### TODO: Exercise 4-1 (continued)
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### 5. Print classification report using y_test_full and y_pred_full
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if __name__ == "__main__":
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