[scikit-learn] Calculating prediction probability per each predicted outcome

[Piotr Bialecki]

Hi Suranga,

if you are using the MLPClassifier class, it should have a predict_proba() method.
Try:
predicted = neural_network.predict_proba(test_data)


Best regards,
Piotr

On 26.10.2016 17:26, Suranga Kasthurirathne wrote:

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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