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.
Hi,
add regression curves and R2 and RMSE metrics for regression type analysis.
(A graph of observed vs predicted for 1) training set 2) validation set.
Additionally maximum error and residual error plots would be nice.
Currently no graphical output is provided for regressions (similar to ROC for classiciations).
This is version: rel-tibshirani
Hi, add regression curves and R2 and RMSE metrics for regression type analysis. (A graph of observed vs predicted for 1) training set 2) validation set. Additionally maximum error and residual error plots would be nice.
Currently no graphical output is provided for regressions (similar to ROC for classiciations). This is version: rel-tibshirani
Cheers Tobias