use KNIME / Python and LightGBM to build a model - Hyperparameter tuning with BayesSearchCV and Optuna - also preparing data with vtreat some parameters have been discussed with ChatGPT ... MEDIUM Blog: Hyperparameter optimization for LightGBM — wrapped in KNIME nodes https://medium.com/p/ddb7ae1d7e2 GitHub Repository - binary classification https://github.com/ml-score/knime_meets_python/tree/main/machine_learning/binary ------------------------------- The data used has beed adapted from: Census Income Data Set Abstract: Predict whether income exceeds $50K/yr based on census data. Also known as "Adult" dataset. Extract and prepare the Census Income Files for usage in KNIME https://archive.ics.uci.edu/ml/datasets/census+income
Used extensions & nodes
Created with KNIME Analytics Platform version 4.7.7
Loading ad hoc executions
By using or downloading the workflow, you agree to our terms and conditions.
Discussions are currently not available, please try again later.