Figure shows that our first experiment results in the same failure we observed across our other experiments. All of our models are performing similarly to selecting molecules at random rather than following what molecules our active learning criteria suggests for both independent test sets. Figure ) and E) both show that utilizing Information Gain with on this dataset due to quirks of this particular dataset (size, distribution, difficulty, etc) or due to a more general failure about the class of molecular property predictions as a whole?