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Clean score_noise_reduction_breast_cancer_silvq
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score_noise_reduction_breast_cancer_silvq.py

Lines changed: 1 addition & 2 deletions
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from sklearn.datasets import load_breast_cancer
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from lvq import SilvqModel
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from lvq.utils import plot2d
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def main():
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# Load dataset
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y_predict = model.predict(x_test)
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# Evaluating the model
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print('** Original *****************************')
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print('** Original ****************************')
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print('Accuracy: %.3f' %accuracy_score(y_test, y_predict))
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print('Number of prototypes: {}'.format(model.n_prototypes))
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