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CEPSA API Training

Boosted trees predictor with Cross Validation and Hyperparameter optimization Node 892Node 893Node 895Node 899Node 900Node 901Node 902Node 903Node 904Keep interestingcolumnsBostonJoin pred result withnon processed dataGet sum of prices andestimated prices by TownDownloading model Pre-Processing Gradient Boosted TreesPredictor (Regression) Numeric Scorer ParameterOptimization Loop End X-Partitioner Parameter OptimizationLoop Start Numeric Scorer Gradient Boosted TreesLearner (Regression) Gradient Boosted TreesLearner (Regression) Gradient Boosted TreesPredictor (Regression) Table Rowto Variable X-Aggregator Column Filter CSV Reader Bar Chart Joiner GroupBy Model Writer Boosted trees predictor with Cross Validation and Hyperparameter optimization Node 892Node 893Node 895Node 899Node 900Node 901Node 902Node 903Node 904Keep interestingcolumnsBostonJoin pred result withnon processed dataGet sum of prices andestimated prices by TownDownloading model Pre-Processing Gradient Boosted TreesPredictor (Regression) Numeric Scorer ParameterOptimization Loop End X-Partitioner Parameter OptimizationLoop Start Numeric Scorer Gradient Boosted TreesLearner (Regression) Gradient Boosted TreesLearner (Regression) Gradient Boosted TreesPredictor (Regression) Table Rowto Variable X-Aggregator Column Filter CSV Reader Bar Chart Joiner GroupBy Model Writer

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Created by: AlexRomero
Created at: 2023-12-20
On NodePit since: 2024-02-09
Last update: 2024-04-27
Created with KNIME version: v4.7.7

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