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ROC_​model_​comparison

Loading the dataRemoving the customer key Partitioning training &testing data Decision tree classifier Random forest classifier Gradient boosting classifier Combining predictionprobabilities from differentmodels Plotting ROC curves Combining accuracy stats from different models Training Multiple Models and Displaying a ROCThis workflow demonstrates how to train multiple models in KNIME and how to select the best one.It also demonstrates how to plot these models ROC.Author: Satoru Hayasaka 80-20 partitionto traning & testingTraining DTTesting DTTraining RFTesting RFModel performanceModel performancePlotting multiple ROC curvesChanging column namesRemove Customer KeyModel performanceTraining GBTesting GBCombining DT & RFand combiningGB tooAdding columnof model nameAdding columnof model nameAdding columnof model nameCombiningaccuracy statsSelects best model according to Accuracy Partitioning DecisionTree Learner Decision TreePredictor Random ForestLearner Random ForestPredictor Scorer (JavaScript) Scorer (JavaScript) ROC Curve Column Rename Data Column Filter Scorer (JavaScript) Gradient BoostedTrees Learner Gradient BoostedTrees Predictor Joiner Joiner ConstantValue Column ConstantValue Column ConstantValue Column Concatenate Top k Selector Loading the dataRemoving the customer key Partitioning training &testing data Decision tree classifier Random forest classifier Gradient boosting classifier Combining predictionprobabilities from differentmodels Plotting ROC curves Combining accuracy stats from different models Training Multiple Models and Displaying a ROCThis workflow demonstrates how to train multiple models in KNIME and how to select the best one.It also demonstrates how to plot these models ROC.Author: Satoru Hayasaka 80-20 partitionto traning & testingTraining DTTesting DTTraining RFTesting RFModel performanceModel performancePlotting multiple ROC curvesChanging column namesRemove Customer KeyModel performanceTraining GBTesting GBCombining DT & RFand combiningGB tooAdding columnof model nameAdding columnof model nameAdding columnof model nameCombiningaccuracy statsSelects best model according to Accuracy Partitioning DecisionTree Learner Decision TreePredictor Random ForestLearner Random ForestPredictor Scorer (JavaScript) Scorer (JavaScript) ROC Curve Column Rename Data Column Filter Scorer (JavaScript) Gradient BoostedTrees Learner Gradient BoostedTrees Predictor Joiner Joiner ConstantValue Column ConstantValue Column ConstantValue Column Concatenate Top k Selector

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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: Ana Vedoveli
Created at: 2020-06-08
On NodePit since: 2020-06-17
Last update: 2024-04-25
Created with KNIME version: v4.1.3

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