Thanks Piotr, this was indeed the case. Works for me now :) On Wed, Oct 26, 2016 at 11:26 AM, Suranga Kasthurirathne < suranga...@gmail.com> 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 > -- Best Regards, Suranga
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