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Actual expression data vs predicted expression using various machine learning algorithms and featurizations. Blue, yellow and red points indicate data points from the leave-out test sets for the CAIL, CAIM and CAIH libraries respectively. (A) Actual expression data vs predicted expression using LASSO. (B) Actual expression data vs predicted expression using the Random Forest Regressor (RFR). Regressor accuracies were evaluated through 10-fold cross-validation.
