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Project 2 Part 2 - NN & ET

Gradient Boosted Tree Model Building Neural Networks Model Building Normalization Data Preprocessing Random State forinitialization is set to1 for the 'RProp MLPLearner' node. Random State set to1 for the 'Partitioning'node. Pre Built Models Logistic Regression Decision Trees Unpruned Decision Trees Pruned Random Forest Node 1Node 15Node 17Node 19Node 20Node 21Node 29Node 30Node 31Node 32Node 33PrunedNode 35Node 36UnprunedNode 38Node 39Node 40Node 41Node 42Node 43Node 44Node 45Statusage by statusreferralprofile_completedNode 81Node 83Node 84Node 89Node 90Node 91Node 92Node 93Node 94Node 95Node 96Node 97Agetime spent on website by status EDAcurrent occupationNode 105 CSV Reader One to Many Partitioning LogisticRegression Learner Logistic RegressionPredictor Scorer Gradient BoostedTrees Predictor Gradient BoostedTrees Predictor Gradient BoostedTrees Learner Scorer Scorer DecisionTree Learner Decision TreePredictor Decision TreePredictor DecisionTree Learner Decision TreePredictor Decision TreePredictor Scorer Scorer Scorer Scorer Logistic RegressionPredictor Scorer Bar Chart ConditionalBox Plot Crosstab (local) Crosstab (local) Random ForestLearner Random ForestPredictor Random ForestPredictor Scorer Scorer RProp MLP Learner MultiLayerPerceptronPredictor Normalizer (Apply) Scorer Normalizer MultiLayerPerceptronPredictor Scorer Box Plot ConditionalBox Plot Data Explorer Crosstab (local) Column Filter Gradient Boosted Tree Model Building Neural Networks Model Building Normalization Data Preprocessing Random State forinitialization is set to1 for the 'RProp MLPLearner' node. Random State set to1 for the 'Partitioning'node. Pre Built Models Logistic Regression Decision Trees Unpruned Decision Trees Pruned Random Forest Node 1Node 15Node 17Node 19Node 20Node 21Node 29Node 30Node 31Node 32Node 33PrunedNode 35Node 36UnprunedNode 38Node 39Node 40Node 41Node 42Node 43Node 44Node 45Statusage by statusreferralprofile_completedNode 81Node 83Node 84Node 89Node 90Node 91Node 92Node 93Node 94Node 95Node 96Node 97Agetime spent on website by status EDAcurrent occupationNode 105 CSV Reader One to Many Partitioning LogisticRegression Learner Logistic RegressionPredictor Scorer Gradient BoostedTrees Predictor Gradient BoostedTrees Predictor Gradient BoostedTrees Learner Scorer Scorer DecisionTree Learner Decision TreePredictor Decision TreePredictor DecisionTree Learner Decision TreePredictor Decision TreePredictor Scorer Scorer Scorer Scorer Logistic RegressionPredictor Scorer Bar Chart ConditionalBox Plot Crosstab (local) Crosstab (local) Random ForestLearner Random ForestPredictor Random ForestPredictor Scorer Scorer RProp MLP Learner MultiLayerPerceptronPredictor Normalizer (Apply) Scorer Normalizer MultiLayerPerceptronPredictor Scorer Box Plot ConditionalBox Plot Data Explorer Crosstab (local) Column Filter

Nodes

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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: Ayan Dutta
Created at: 2022-03-10
On NodePit since: 2024-12-03
Last update: 2024-12-17
Created with KNIME version: v4.7.3

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