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Mushroom

Mushroom Classification (Edible vs Non-edible) Read DataSplit Trainand TestDatasetsModelPredictionConfusion MatrixRelabelMushroomTypesPull Accuracy columnGet theOverall AccuracyvalueNode 31Node 3210-fold CVNode 34Final scoreNode 36Node 37Node 38Node 39 CSV Reader Partitioning DecisionTree Learner Decision TreePredictor Scorer Java Snippet Column Filter Row Filter Random ForestLearner Random ForestPredictor X-Partitioner X-Aggregator Scorer Color Manager Color Appender Color Manager Color Appender Mushroom Classification (Edible vs Non-edible) Read DataSplit Trainand TestDatasetsModelPredictionConfusion MatrixRelabelMushroomTypesPull Accuracy columnGet theOverall AccuracyvalueNode 31Node 3210-fold CVNode 34Final scoreNode 36Node 37Node 38Node 39CSV Reader Partitioning DecisionTree Learner Decision TreePredictor Scorer Java Snippet Column Filter Row Filter Random ForestLearner Random ForestPredictor X-Partitioner X-Aggregator Scorer Color Manager Color Appender Color Manager Color Appender

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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: adity
Created at: 2019-02-08
On NodePit since: 2019-04-03
Last update: 2024-04-24
Created with KNIME version: v3.7.1

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