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results.txt ADDED
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+ ==========================] - 2969s 2s/step - loss: 0.2642 - accuracy: 0.9627
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+ Loss: 0.26420989632606506
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+ Accuracy: 0.9626917243003845
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+ Predicting the class labels...
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+ Classification report:
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+ /anaconda/envs/azureml_py38/lib/python3.8/site-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
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+ _warn_prf(average, modifier, msg_start, len(result))
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+ precision recall f1-score support
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+
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+
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+ accuracy 0.96 47523
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+ macro avg 0.90 0.80 0.84 47523
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+ weighted avg 0.96 0.96 0.96 47523
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+
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+ Confusion matrix:
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+ [[ 94 0 0 ... 0 0 1]
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+ [ 0 8 0 ... 0 0 0]
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+ [ 0 0 6 ... 0 0 0]
138
+ ...
139
+ [ 0 0 0 ... 25 0 0]
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+ [ 0 0 0 ... 0 2 0]
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+ [ 0 0 0 ... 0 0 588]]