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BDDA_​Mid Term

K-Mean methodNode 2Node 3Node 4Decision TreeNode 6Node 7Node 8Hierarchial ClusteringNode 10Logistic regressionNode 12Node 13Node 14Node 15Node 16Node 17Node 18Node 19Node 20Node 21CSV Reader k-Means Scatter Plot Color Manager CSV Reader Partitioning DecisionTree Learner Decision TreePredictor CSV Reader HierarchicalClustering CSV Reader Partitioning LogisticRegression Learner Logistic RegressionPredictor Pie/Donut Chart Missing Value Color Manager Scatter Plot Missing Value Scorer Scorer (JavaScript) K-Mean methodNode 2Node 3Node 4Decision TreeNode 6Node 7Node 8Hierarchial ClusteringNode 10Logistic regressionNode 12Node 13Node 14Node 15Node 16Node 17Node 18Node 19Node 20Node 21CSV Reader k-Means Scatter Plot Color Manager CSV Reader Partitioning DecisionTree Learner Decision TreePredictor CSV Reader HierarchicalClustering CSV Reader Partitioning LogisticRegression Learner Logistic RegressionPredictor Pie/Donut Chart Missing Value Color Manager Scatter Plot Missing Value Scorer Scorer (JavaScript)

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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: Shashank
Created at: 2023-08-28
On NodePit since: 2023-08-30
Last update: 2024-05-01
Created with KNIME version: v4.7.7

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