Multiclass Machine Learning - Wine Quality

Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss
https://archive.ics.uci.edu/ml/datasets/wine+quality

In the sub-folder /data/ there is a Python JUpyter notebook "kn_example_ml_multiclass_wine_quality_h2o_gbm.ipynb" for a Hyper parameter Grid search for a GBM model

External resources

• Medium: Data preparation for Machine Learning with KNIME and the Python “vtreat” package
• vtreat for KNIME!
• UCI - Wine Quality Data Set
• collection of multiclass data sets
• H2O Multinomial Scorer - for LogLoss stats
• [multiclass] Model for Multiclass Targets (and explanation of Log Loss statistics) (2)
• [multiclass] Model for Multiclass Targets (and explanation of Log Loss statistics) (1)
• [multiclass] Score Documents with multiple Classes?
• KNIME and ML - also Deep Learning - (44276) forum entry