The purpose of our project was to analyze clinical trial data and determine the most important features contributing to clinical trial phase failure. After modeling the data from NIH U.S National Library of Medicine’s website - https://clinicaltrials.gov/, we concluded that the enrollment fraction i.e. the actual enrollment divided by the desired enrollment is the major predictor for successful completion of clinical trials. Our logistic regression model, if updated and implemented, would save 24% of the money spent on clinical trials.