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C25_​Detecting the Presence of Heart Disease

Answer to Challenge 25: Detecting the Presence of Heart Disease

Uses a parameter optimisation loop on eta (i.e. learning rate), boosting rounds, max depth tree.

F1 score (i.e. F-measure) was created as an average of F1 scores for class 0 & 1. i.e. Macro F-measure.

Strategy: Random Rounds: 5,000 Strategy: Bayesian Rounds: 5,000 Get the best parameters Predict on best parameters Node 1Node 4Node 10Node 12Node 13stats by classNode 28Node 29Macro F-measureMacro F-measure to varNode 34Node 35stats by classNode 37Node 38Macro F-measureMacro F-measure to varNode 41Node 42Node 43Node 44Node 47Node 48Node 49stats by classNode 51Node 52stats by class CSV Reader Partitioning Number To String XGBoost TreeEnsemble Learner XGBoost Predictor Scorer Parameter OptimizationLoop Start ParameterOptimization Loop End Math Formula Table Columnto Variable XGBoost TreeEnsemble Learner XGBoost Predictor Scorer Parameter OptimizationLoop Start ParameterOptimization Loop End Math Formula Table Columnto Variable Concatenate ConstantValue Column ConstantValue Column Sorter Row Filter XGBoost TreeEnsemble Learner XGBoost Predictor Scorer Table Rowto Variable XGBoost Predictor Scorer Strategy: Random Rounds: 5,000 Strategy: Bayesian Rounds: 5,000 Get the best parameters Predict on best parameters Node 1Node 4Node 10Node 12Node 13stats by classNode 28Node 29Macro F-measureMacro F-measure to varNode 34Node 35stats by classNode 37Node 38Macro F-measureMacro F-measure to varNode 41Node 42Node 43Node 44Node 47Node 48Node 49stats by classNode 51Node 52stats by classCSV Reader Partitioning Number To String XGBoost TreeEnsemble Learner XGBoost Predictor Scorer Parameter OptimizationLoop Start ParameterOptimization Loop End Math Formula Table Columnto Variable XGBoost TreeEnsemble Learner XGBoost Predictor Scorer Parameter OptimizationLoop Start ParameterOptimization Loop End Math Formula Table Columnto Variable Concatenate ConstantValue Column ConstantValue Column Sorter Row Filter XGBoost TreeEnsemble Learner XGBoost Predictor Scorer Table Rowto Variable XGBoost Predictor Scorer

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Dreamcore
Created at: 2023-09-14
On NodePit since: 2023-09-14
Last update: 2024-04-27
Created with KNIME version: v4.7.6
Tags: JKISeason2-25knime challengeheartXGBoostHyperparameter tuning

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