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parameter_​optimization_​complete

Hyperparameters Optimization and Training a Random Forest
Random Forest of Decision Trees Hyperparameters OptimizationOptimizes hyperparameters of a random forest of decision trees and training it with the optimizedhyperparameters.Adult.csv dataset describes US census information. Output class is sex. Reads the adult.csv and applies partition80/20, writing out train.table and test.table Reads in train.table as dummy data and outputs anHyperparameter table with depth and number of models startvalue. Hyperparameter optimization loop Use the optimized Hyperparams to run Random Forest Learner and Predictor depth start = 1nr models start = 10Reads train.tableas dummy dataTrainTestTrainTestRight click and Open Viewto Edit stop and step values of the HyperparamsRandom ForestLearner Parameter OptimizationLoop Start (Table) Random ForestLearner ParameterOptimization Loop End Learner ParametersExtraction Random ForestPredictor Table Reader Table Reader Table Reader Scorer Random ForestLearner Random ForestPredictor Table Reader Table Reader Table Rowto Variable Scorer Data Preparation Parameters TablePreparator Random Forest of Decision Trees Hyperparameters OptimizationOptimizes hyperparameters of a random forest of decision trees and training it with the optimizedhyperparameters.Adult.csv dataset describes US census information. Output class is sex. Reads the adult.csv and applies partition80/20, writing out train.table and test.table Reads in train.table as dummy data and outputs anHyperparameter table with depth and number of models startvalue. Hyperparameter optimization loop Use the optimized Hyperparams to run Random Forest Learner and Predictor depth start = 1nr models start = 10Reads train.tableas dummy dataTrainTestTrainTestRight click and Open Viewto Edit stop and step values of the HyperparamsRandom ForestLearner Parameter OptimizationLoop Start (Table) Random ForestLearner ParameterOptimization Loop End Learner ParametersExtraction Random ForestPredictor Table Reader Table Reader Table Reader Scorer Random ForestLearner Random ForestPredictor Table Reader Table Reader Table Rowto Variable Scorer Data Preparation Parameters TablePreparator

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Created by: kathrinmelcher
Created at: 2017-09-14
On NodePit since: 2021-12-06
Last update: 2024-04-27
Created with KNIME version: v4.5.0
Tags: machine learningKNIMEdata sciencerandom foresthyperparameters optimization

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