This project deals with predicting cab booking cancellations and required results are provided. Ensemble Learning are used to boost the accuracy of predictions. These ensemble methods made a huge change in the output. When the model was run on Random Forest Classifier the model yeilded about 92% accuracy. On running the model with Voting Classifier, accuracy was greatly increased upto 98%.