H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
H2O reports AUC for binomial models, and this is likely the most common assessment tool for classification problems. But the multinomial case is not as straightforward, and H2O does not report or calculate it. Having this available in the scoring history (and Flow) would be very helpful for users accustomed to seeing AUC.
H2O reports AUC for binomial models, and this is likely the most common assessment tool for classification problems. But the multinomial case is not as straightforward, and H2O does not report or calculate it. Having this available in the scoring history (and Flow) would be very helpful for users accustomed to seeing AUC.
The pROC package in R implements it and also mlr.