2. The computer program product of claim 1 , wherein said training comprises: repeatedly performing a training session for the classifier tool and determining by the classifier tool predicted labels for the sample of data-points or portion thereof, wherein trained information is not retained by the classifier tool from one training session to another; and based on a plurality of predicted labels with respect to a same data-point, training the reliability classifier to predict reliability of prediction by the classifier tool.
2. The computer program product of claim 1 , wherein said training comprises: repeatedly performing a training session for the classifier tool and determining by the classifier tool predicted labels for the sample of data-points or portion thereof, wherein trained information is not retained by the classifier tool from one training session to another; and based on a plurality of predicted labels with respect to a same data-point, training the reliability classifier to predict reliability of prediction by the classifier tool. 3. The computer program product of claim 2 , wherein said training the reliability classifier based on the plurality of predicted labels comprises: determining a stability measurement based on a variation in the predicted labels with respect to the same data-point; and utilizing the stability measurement as a measured reliability of the data-point when training the reliability classifier tool.