IPL-Auction-Predictor

In this work, we have applied machine learning based algorithms that predicts the probability of which a player can be sold in the Indian Premier League Auction. We estimated the probability of players’ is being sold or not using their past performance parameters like runs, balls, innings, wickets and matches played. Tests were carried out in various machine learning models like Decision Tree Regressor, K-Nearest Neighbors (KNN), Linear Regression, Stochastic Logistic Regression, Random Forest Regressor and Support Vector Regression (SVR). Among these SVR and Linear Regression gave best results for predicting batsman and bowlers respectively. These algorithms can produce fast and accurate results within 3 seconds, helping analyst, fans for make some quick fun exercises.