The study aimed to (i) identify breakpoints in rainfall patterns and (ii) evaluate the out‐of‐sample prediction accuracy of various machine learning models. Monthly rainfall data from 1901 to 2017 were obtained from the Government of India database. The methodology was based on SPI, Bayesian breakpoint detection and application of various machine learning models. The Diebold–Mariano test was also used to compare the performanc...