Hi everyone, I'm currently using Scikit learn to train and test multiple neural networks.
My issue - I'm breaking my dataset into 90/10, training on the 90%, and testing on the 10%. For the 10% trained data, I get outcomes as follows: predicted = neural_network.predict(test_data) Here, the predicted variable is basically either 1 or 0, which is what i'm feeding in as the outcome. But how can I get the prediction probability per each predicted outcome? back in the day when I used weka it produced a single prediction, followed by a prediction probability between 1 and 0 for each outcome. -- Best Regards, Suranga
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