SYSTEMS AND METHODS FOR MODEL TRAINING AND MODEL INFERENCE

The disclosure relates to a method for generating a custom predictive model, the method comprising receiving a plurality of datasets; identifying a plurality of features affecting prediction of a predictive model; determining an importance score for each of the plurality of features; determining a probability of prediction for each dataset from the plurality of the datasets based on one or more features from the plurality of features for the prediction of each dataset, and respective importance scores for the one or more features; and training a custom predictive model using the plurality of datasets with the probabilities, the respective features, and the respective importance scores.