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Challenge 06

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Step 1 - Automatization of learning ML model with different parameters Definition of adjusting parameters of model Teaching model for each of defined parameters Visualization of model accuracy for different parameters Step 2 - Comparation of different models For more deatiled model accuracy visualization i'd prefer to use box plot of few iterations learning indicators instead of bar chart of single iteration learning accuracyIt causes much more time to make it for big dataset, especially using x-validation Origin dataNode 15Node 16Node 17Node 18Node 19Node 20Node 21Node 22Node 23Node 24Node 25Node 26Node 27Node 28Node 29Node 30Node 31Node 32Node 33Node 34NN iterationsNumber of hiden layersNumber of neurons per layerNode 38Node 39Node 42Node 43Node 44Node 45Node 46Node 47Node 48Node 49Node 50Node 51Node 58Number of global iterationsNode 60Node 74Node 75Node 77Node 78Node 79Node 80Node 81Node 82Node 83Node 84Node 85Node 86Node 87Node 88Node 89Node 90Node 91Node 92Node 93Node 94Node 95Node 96Node 50Node 99Node 100Node 101 Table Reader Enrichment andPreprocessing DocumentVectorization MultiLayerPerceptronPredictor RProp MLP Learner X-Partitioner X-Aggregator Scorer Random ForestLearner Random ForestPredictor Tree EnsembleLearner Tree EnsemblePredictor X-Partitioner X-Partitioner X-Aggregator X-Aggregator Scorer Scorer Normalizer Partitioning MultiLayerPerceptronPredictor RProp MLP Learner Scorer Table Creator Table Creator Table Creator Cross Joiner Cross Joiner Column Filter Row Filter CSV Writer Loop End Variable toTable Row Joiner RowID RowID CSV Reader Table Row ToVariable Loop Start ConditionalBox Plot Table Creator Cross Joiner Column Filter Row Filter Column Filter Row Filter Column Filter Row Filter Concatenate Table Creator RowID Joiner Bar Chart MLP AdjustingVisualization Tree EnsemblePredictor X-Partitioner X-Aggregator Scorer Column Filter Row Filter Tree EnsembleLearner Counting Loop Start CSV Writer Loop End CSV Reader Box Plot CSV Writer CSV Reader Step 1 - Automatization of learning ML model with different parameters Definition of adjusting parameters of model Teaching model for each of defined parameters Visualization of model accuracy for different parameters Step 2 - Comparation of different models For more deatiled model accuracy visualization i'd prefer to use box plot of few iterations learning indicators instead of bar chart of single iteration learning accuracyIt causes much more time to make it for big dataset, especially using x-validation Origin dataNode 15Node 16Node 17Node 18Node 19Node 20Node 21Node 22Node 23Node 24Node 25Node 26Node 27Node 28Node 29Node 30Node 31Node 32Node 33Node 34NN iterationsNumber of hiden layersNumber of neurons per layerNode 38Node 39Node 42Node 43Node 44Node 45Node 46Node 47Node 48Node 49Node 50Node 51Node 58Number of global iterationsNode 60Node 74Node 75Node 77Node 78Node 79Node 80Node 81Node 82Node 83Node 84Node 85Node 86Node 87Node 88Node 89Node 90Node 91Node 92Node 93Node 94Node 95Node 96Node 50Node 99Node 100Node 101Table Reader Enrichment andPreprocessing DocumentVectorization MultiLayerPerceptronPredictor RProp MLP Learner X-Partitioner X-Aggregator Scorer Random ForestLearner Random ForestPredictor Tree EnsembleLearner Tree EnsemblePredictor X-Partitioner X-Partitioner X-Aggregator X-Aggregator Scorer Scorer Normalizer Partitioning MultiLayerPerceptronPredictor RProp MLP Learner Scorer Table Creator Table Creator Table Creator Cross Joiner Cross Joiner Column Filter Row Filter CSV Writer Loop End Variable toTable Row Joiner RowID RowID CSV Reader Table Row ToVariable Loop Start ConditionalBox Plot Table Creator Cross Joiner Column Filter Row Filter Column Filter Row Filter Column Filter Row Filter Concatenate Table Creator RowID Joiner Bar Chart MLP AdjustingVisualization Tree EnsemblePredictor X-Partitioner X-Aggregator Scorer Column Filter Row Filter Tree EnsembleLearner Counting Loop Start CSV Writer Loop End CSV Reader Box Plot CSV Writer CSV Reader

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Created by: vladislavkonovalov
Created at: 2023-05-04
On NodePit since: 2023-05-10
Last update: 2024-04-28
Created with KNIME version: v4.7.2
Tags: JKISeason2-6

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