[scikit-learn] Calculating prediction probability per each predicted outcome
piotr.bialecki at hotmail.de
Wed Oct 26 11:35:25 EDT 2016
if you are using the MLPClassifier class, it should have a predict_proba() method.
predicted = neural_network.predict_proba(test_data)
On 26.10.2016 17:26, Suranga Kasthurirathne wrote:
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.
scikit-learn mailing list
scikit-learn at python.org<mailto:scikit-learn at python.org>
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the scikit-learn