A ML Approach for Predicting The Winner of IPL-24 Using Novel-Hybrid Classifier

Cricket is one of those thrilling outdoor activities that has captured everyone’s attention. There are a lot of competitions conducted, and one of them, the Indian Premier League, has formed a glorious history in the field of sports (IPL) which is very attractive and attracts everyone’s attention. There are several staged series, but the Indian Premier League stands out for having a rich tradition at home (IPL). It has become one of the most popular franchises in the world, with 10 to twelve teams often competing. Few in this study primarily concentrate on the use and measurement of several models for determining which team will be the more appealing in an IPL match. The data set is acquired from the Kaggle repository and used as the model’s input during training. Data analytics, on the other hand, is currently required in all businesses to research data sets to extract relevant insights, draw conclusions, and make decisions based on those findings. Algorithms first analyse data to create models to discover various things. The mining model is constructed by choosing and repeating on parameters. The parameters are then imported into a data-set to uncover actionable trends and detailed statistics. The goal of this research was to discover essential information about IPL teams by utilizing Jupyternotebook which facilitates data analysis by providing analysis findings as a visual representation. The data set is collected and pre-processing is performed before feature selection. Compare the results of three algorithms, such as Decision Trees, Naive Bayes, and Hybrid Ensembled Classifier to evaluate the accuracy, recall, and sensitivity. In, which the proposed hybrid classifier may give the best accuracy in predicting the winner of IPL-2024 and displays the results as a graph.