Closed dw1227 closed 1 month ago
Given that the winning models utilized BMIQ-normalized and CHAMP-filtered training data, it is crucial to ensure that AutoML models are trained using the same preprocessed datasets for a fair comparison. Please update the results to reflect this.
Now that the challenge has concluded and the winners are announced, we are interested in evaluating how an AutoML framework that requires minimal human intervention would have performed in the DREAM challenge. To this end, I will include the results from an AutoGluon predictor in my analysis.