19 lines
463 B
Python
19 lines
463 B
Python
import numpy as np
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from keras.models import Model
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from keras.utils import to_categorical
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pred_y = np.load("predicted_results.npy")
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test_y = np.load("Waldo_test_lbl.npy")
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test_y = to_categorical(test_y)
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f = open("test_output.txt", 'w')
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z = 0
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for i in range(0, len(test_y)):
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print(pred_y[i], test_y[i], file=f)
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# Calculates correct predictions
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if pred_y[i][0] == test_y[i][0]:
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z+=1
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print("Accuracy: {}%".format(z/len(test_y)*100))
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f.close() |