ml_binary
This directory contains 7 workflows.
Heart Disease - Machine Learning Case - Comparing Algorithms
prepare data with vtreat package in the subfolder /data/notebooks/ there is a Jupyter notebook to experiment and build XGBoost models […]
Heart Disease - Machine Learning Case - LightGBM Hyper Parameter Optimization
use KNIME / Python and LightGBM to build a model - Hyperparameter tuning with BayesSearchCV and Optuna - also preparing data with vtreat some parameters […]
kn_example_ml_binary_extra_trees
use KNIME / Python and sklearn to build a model with ExtraTreesClassifier - also preparing mixed data with vtreat
kn_example_ml_binary_lightgbm_hyper_parameter_opt
use KNIME / Python and LightGBM to build a model - Hyperparameter tuning with BayesSearchCV and Optuna - also preparing data with vtreat some parameters […]
kn_example_ml_binary_python_xgboost
Binary Classification - use Python XGBoost package and other nodes to build model and deploy that thru KNIME Python nodes prepare data with vtreat […]
kn_example_ml_binary_threshold_inspection_table
Inspect Results of Machine Learning "BINARY" (0,1) Targets using the "Binary Classification Inspector" and "H2O Binomial […]
Python - PySpark and MLlib RandomForest Classifier (with vtreat)
Demonstrates how to start a spark session within a Python node (the performance will very much depend on your machine) URL: Medium: Data preparation for […]