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05. DNN_​Son

Filter nominal/class columNormalize numeric columnsSplit prediction vs other columnsDenormalize input columnsDenormalize prediction column Rename prediction columnRename prediction column backAppendScoreNode 34Transposein order to aggregaterows in loopR2 : 0.9591RMSE : 4,796MAE : 2,814Node 815 Dense Layer128-256-512-256-128Column Filter Normalizer ReferenceColumn Splitter Denormalizer Denormalizer Column Rename Column Rename Column Appender Numeric Scorer Excel Reader DL4J FeedforwardPredictor (Regression) Transpose Loop End DL4J FeedforwardLearner (Regression) Statistics X-Partitioner Deep Learning Model Filter nominal/class columNormalize numeric columnsSplit prediction vs other columnsDenormalize input columnsDenormalize prediction column Rename prediction columnRename prediction column backAppendScoreNode 34Transposein order to aggregaterows in loopR2 : 0.9591RMSE : 4,796MAE : 2,814Node 815 Dense Layer128-256-512-256-128Column Filter Normalizer ReferenceColumn Splitter Denormalizer Denormalizer Column Rename Column Rename Column Appender Numeric Scorer Excel Reader DL4J FeedforwardPredictor (Regression) Transpose Loop End DL4J FeedforwardLearner (Regression) Statistics X-Partitioner Deep Learning Model

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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: PC
Created at: 2023-04-06
On NodePit since: 2023-06-18
Last update: 2024-04-26
Created with KNIME version: v4.7.1

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