ARTIFICIAL INTELLIGENCE BASED METHODS AND SYSTEMS FOR QUANTIFYING CONFIDENCE IN INSIGHTS OF AN INPUT DATASET

Embodiments of the present disclosure provide systems and methods for mining outcomes from a given dataset and quantifying the confidence in the outcomes. The method includes receiving an input data file for extracting a set of data attributes and a plurality of data points from the input data file based on a first machine learning model. Further, the method includes generating a plurality of outcomes based at least on the set of data attributes and the plurality of data points. The method includes computing a confidence score for each of the plurality of outcomes based on a second machine learning model. Further, the method includes determining a threshold factor for the confidence score. The method includes displaying the outcome, the confidence score, and the threshold factor associated with the outcome at a user interface (UI) rendered by an application based on selection of the outcome from the plurality of outcomes.