The research is mainly focused on the evaluation parameters of the Machine learning algorithm Adaptive Neural Turing net-works which have been developed for the prediction of Rainfall based Disasters. Based on the Previous Research it's observed that the Neural Turing networks have been performing the prediction of the rainfall-based disasters for the consecutive years of 10,15 and 20 with 93.8% accuracy. Here the Research is analyzed with various parameters and Comparing it with the other researches which are implemented with other machine learning algorithms