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MLM_​Project2

Node 3Node 4Node 5Node 6Node 7Node 8Node 9Node 10CAT. VARNON CAT. VARNode 1654Node 1656Node 1658Node 1662Node 1663Node 1664Node 1665Node 1672Node 1706Node 1707Node 1708Node 1709Node 1710Node 1711Node 1712Node 1713Node 1714Node 1715Node 1716Node 1717Node 1718Node 1719Node 1720Node 1721Node 1722Node 1723Node 1725Node 1726Node 1727Node 1728Node 1729LogisticRegression Learner Joiner DuplicateRow Filter Logistic RegressionPredictor Scorer Scorer Column Filter Color Manager Column Filter Column Filter Numeric Outliers Category to Number Joiner Missing Value Missing Value(Apply) Missing Value Missing Value(Apply) Linear Correlation Normalizer Denormalizer Partitioning DecisionTree Learner Decision TreePredictor Normalizer Normalizer Normalizer (Apply) K Nearest Neighbor K Nearest Neighbor K Nearest Neighbor Scorer Scorer Scorer Normalizer Normalizer (Apply) SVM Learner SVM Predictor Linear Correlation Statistics Scorer Excel Reader Excel Reader Node 3Node 4Node 5Node 6Node 7Node 8Node 9Node 10CAT. VARNON CAT. VARNode 1654Node 1656Node 1658Node 1662Node 1663Node 1664Node 1665Node 1672Node 1706Node 1707Node 1708Node 1709Node 1710Node 1711Node 1712Node 1713Node 1714Node 1715Node 1716Node 1717Node 1718Node 1719Node 1720Node 1721Node 1722Node 1723Node 1725Node 1726Node 1727Node 1728Node 1729LogisticRegression Learner Joiner DuplicateRow Filter Logistic RegressionPredictor Scorer Scorer Column Filter Color Manager Column Filter Column Filter Numeric Outliers Category to Number Joiner Missing Value Missing Value(Apply) Missing Value Missing Value(Apply) Linear Correlation Normalizer Denormalizer Partitioning DecisionTree Learner Decision TreePredictor Normalizer Normalizer Normalizer (Apply) K Nearest Neighbor K Nearest Neighbor K Nearest Neighbor Scorer Scorer Scorer Normalizer Normalizer (Apply) SVM Learner SVM Predictor Linear Correlation Statistics Scorer Excel Reader Excel Reader

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Created by: ASUS
Created at: 2024-03-31
On NodePit since: 2024-04-02
Last update: 2024-11-21
Created with KNIME version: v5.2.2

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