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@ -48,7 +48,7 @@ model = LogisticRegressionModel(input_dim, output_dim)
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pred = model(fTest)
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pred = model(fTest)
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accuracy = accuracy_score(tTest, np.argmax(pred.detach().numpy(), axis = 1))
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accuracy = accuracy_score(tTest, np.argmax(pred.detach().numpy(), axis = 1))
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f1 = f1_score(tTest, np.argmax(pred.detach().numpy(), axis = 1), average = None)
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f1 = f1_score(tTest, np.argmax(pred.detach().numpy(), axis = 1), average = None)
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rmse = mean_squared_error(tTest, np.argmax(pred.detach().numpy()))
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rmse = mean_squared_error(tTest, pred.detach().numpy())
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print(f'Accuracy: {accuracy}')
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print(f'Accuracy: {accuracy}')
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print(f'F1: {f1_score}')
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print(f'F1: {f1_score}')
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