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In train_predict.py there is a mix up with labels. What should be "Actual" is shown as "Predicted" and vice versa:
# Plot graph: predicted VS actual plt.subplot(111) plt.plot(predicted_raw, label='Actual') plt.plot(y_test_raw, label='Predicted') plt.legend() plt.show()
The text was updated successfully, but these errors were encountered:
(Fixes jiegzhan#5) Show predicted values with predicted label and act…
30ad293
…ual values with the actual label
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In train_predict.py there is a mix up with labels. What should be "Actual" is shown as "Predicted" and vice versa:
The text was updated successfully, but these errors were encountered: