Given the features (or a subset of features) in Table , the primary objective is to predict the success (or failure) of a clinical trial. Since the data has approximately 1290 instances and 18 features, including bioactivity, we treat this problem as one of 'small data' machine learning. 'Small data' generally refers to limited data collated for a purpose and is acknowledged to be more effective for drawing statistical inferences than the relatively noisy and more complex big data . Consequently, machine learning models used for prediction tasks on small data are more amenable to interpretation.