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Exercise4_​Model_​Naive_​Bayes

We tested the model with four data sets, eachincrementing the amount of data multiplied by 2. 80-20Node 3Node 4Node 6Data x1Data x2Data x3Data x480-20Node 76Node 77Node 7880-20Node 81Node 82Node 8380-20Node 86Node 87Node 88 Partitioning Naive Bayes Learner Naive BayesPredictor Scorer (JavaScript) ROC Curve CSV Reader CSV Reader CSV Reader CSV Reader Partitioning ROC Curve Naive Bayes Learner Scorer (JavaScript) Naive BayesPredictor Partitioning ROC Curve Naive Bayes Learner Scorer (JavaScript) Naive BayesPredictor Partitioning ROC Curve Naive Bayes Learner Scorer (JavaScript) Naive BayesPredictor We tested the model with four data sets, eachincrementing the amount of data multiplied by 2. 80-20Node 3Node 4Node 6Data x1Data x2Data x3Data x480-20Node 76Node 77Node 7880-20Node 81Node 82Node 8380-20Node 86Node 87Node 88 Partitioning Naive Bayes Learner Naive BayesPredictor Scorer (JavaScript) ROC Curve CSV Reader CSV Reader CSV Reader CSV Reader Partitioning ROC Curve Naive Bayes Learner Scorer (JavaScript) Naive BayesPredictor Partitioning ROC Curve Naive Bayes Learner Scorer (JavaScript) Naive BayesPredictor Partitioning ROC Curve Naive Bayes Learner Scorer (JavaScript) Naive BayesPredictor

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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: cuiso
Created at: 2021-08-16
On NodePit since: 2021-08-31
Last update: 2024-04-27
Created with KNIME version: v4.4.0

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