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keras print accuracy for each label

Yuwotmate answered on November 10, 2022 Popularity 1/10 Helpfulness 9/10

answer keras print accuracy for each label

keras print accuracy for each label

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from sklearn.metrics import classification_report
import numpy as np

Y_test = np.argmax(y_test, axis=1) # Convert one-hot to index
y_pred = model.predict_classes(x_test)
print(classification_report(Y_test, y_pred))

# Result
precision    recall  f1-score   support

      0       0.99      1.00      1.00       980
      1       0.99      0.99      0.99      1135
      2       1.00      0.99      0.99      1032
      3       0.99      0.99      0.99      1010
      4       0.98      1.00      0.99       982
      5       0.99      0.99      0.99       892
      6       1.00      0.99      0.99       958
      7       0.97      1.00      0.99      1028
      8       0.99      0.99      0.99       974
      9       0.99      0.98      0.99      1009

avg / total   0.99      0.99      0.99     10000

Popularity 1/10 Helpfulness 9/10 Language python

Source: stackoverflow.com

Tags: each keras label python

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