Icon

setc

Validation part to be sure that my model doesn't overfit or underfit the data Dimension reduction Training of my model, i like to use RandomForest for classification Dimension reduction Training of my model, i like to use RandomForest for classification Validation part to be sure that my model doesn't overfit or underfit the data Node 26check translate02 groupsNode 28Data CleaningExtract Temperature& Light ValuesExtract Temperature& Light ValuesString to Integerrecheck translate02 groups after reductopartion 2/3 training 1/3 validationNode 42Node 43Node 45After Data Cleaningpartition 80 train/20 testNode 48After Data CleaningNode 51After Data CleaningNode 53Node 54String to IntegerNode 56check translate02 groupsData CleaningExtract Temperature& Light ValuesExtract Temperature& Light Valuespartion 2/3 training 1/3 validationAfter Data Cleaningpartition 80 train/20 testNode 64recheck translate02 groups after reductoNode 68Node 69 Excel Reader GroupBy String Manipulation Missing Value Rule Engine Rule Engine String To Number GroupBy Partitioning Random Forest Learner(Regression) Random Forest Predictor(Regression) Math Formula Statistics Partitioning Math Formula Statistics Random Forest Predictor(Regression) Statistics Math Formula Random Forest Learner(Regression) String To Number String Manipulation GroupBy Missing Value Rule Engine Rule Engine Partitioning Statistics Partitioning Math Formula GroupBy Random Forest Predictor(Regression) Random Forest Predictor(Regression) Validation part to be sure that my model doesn't overfit or underfit the data Dimension reduction Training of my model, i like to use RandomForest for classification Dimension reduction Training of my model, i like to use RandomForest for classification Validation part to be sure that my model doesn't overfit or underfit the data Node 26check translate02 groupsNode 28Data CleaningExtract Temperature& Light ValuesExtract Temperature& Light ValuesString to Integerrecheck translate02 groups after reductopartion 2/3 training 1/3 validationNode 42Node 43Node 45After Data Cleaningpartition 80 train/20 testNode 48After Data CleaningNode 51After Data CleaningNode 53Node 54String to IntegerNode 56check translate02 groupsData CleaningExtract Temperature& Light ValuesExtract Temperature& Light Valuespartion 2/3 training 1/3 validationAfter Data Cleaningpartition 80 train/20 testNode 64recheck translate02 groups after reductoNode 68Node 69 Excel Reader GroupBy String Manipulation Missing Value Rule Engine Rule Engine String To Number GroupBy Partitioning Random Forest Learner(Regression) Random Forest Predictor(Regression) Math Formula Statistics Partitioning Math Formula Statistics Random Forest Predictor(Regression) Statistics Math Formula Random Forest Learner(Regression) String To Number String Manipulation GroupBy Missing Value Rule Engine Rule Engine Partitioning Statistics Partitioning Math Formula GroupBy Random Forest Predictor(Regression) Random Forest Predictor(Regression)

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: YU ZI YING
Created at: 2021-05-26
On NodePit since: 2022-02-06
Last update: 2024-11-21
Created with KNIME version: v4.4.0

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!