ml_binary
This directory contains 12 workflows.
Heart Disease - Machine Learning Case - Comparing Algorithms
URL: How to Develop Your First XGBoost Model in Python https://machinelearningmastery.com/develop-first-xgboost-model-python-scikit-learn/ URL: A Beginner’s […]
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 […]
Heart Disease - Machine Learning Case - MLP - Parameter Optimization Loop
URL: Parameter Optimization Video - KNIME TV - YouTube https://youtu.be/IlqepyIba6Y URL: ML Algorithms and the Art of Parameter Selection - KNIME Blog […]
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 […]
PMML - Machine Learning Case - MLP - Apply via Python
URL: Parameter Optimization Video - KNIME TV - YouTube https://youtu.be/IlqepyIba6Y URL: ML Algorithms and the Art of Parameter Selection - KNIME Blog […]
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 […]
