Icon

Regression Tree Toy Example without Python

Loading the Auto-MPG data from a table.Splitting the data into the training and testing data sets Regression tree modelParameters are:-Tree depth = 3-Minimum node size = 10 Regression tree example with the Auto MPG data setThis workflow shows a regression tree to model MPG (miles per gallon) of cars based ontheir HP (horsepower). This example uses the Auto MPG Data Set from the UCI MachineLearning Repository (https://archive.ics.uci.edu/ml/datasets/Auto+MPG). Fitting the trained model Examining the model-Numeric scorer to calculatevarious goodness-of-fitmetrics-Scatter plot of observed(testing data) vs the model Train- test80% - 20%Regression treeMPG vs HPPrediction ontesting dataPrediction performanceLoading the Auto-MPGdata tableprepare data for the scatter plotcolorpredictionsvs. actualsMPG vs. HP+ predictions Partitioning Simple RegressionTree Learner Simple RegressionTree Predictor Numeric Scorer Table Reader Prepare data Color Manager Scatter Plot Loading the Auto-MPG data from a table.Splitting the data into the training and testing data sets Regression tree modelParameters are:-Tree depth = 3-Minimum node size = 10 Regression tree example with the Auto MPG data setThis workflow shows a regression tree to model MPG (miles per gallon) of cars based ontheir HP (horsepower). This example uses the Auto MPG Data Set from the UCI MachineLearning Repository (https://archive.ics.uci.edu/ml/datasets/Auto+MPG). Fitting the trained model Examining the model-Numeric scorer to calculatevarious goodness-of-fitmetrics-Scatter plot of observed(testing data) vs the model Train- test80% - 20%Regression treeMPG vs HPPrediction ontesting dataPrediction performanceLoading the Auto-MPGdata tableprepare data for the scatter plotcolorpredictionsvs. actualsMPG vs. HP+ predictions Partitioning Simple RegressionTree Learner Simple RegressionTree Predictor Numeric Scorer Table Reader Prepare data Color Manager Scatter Plot

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Satoru
Created at: 2020-03-03
On NodePit since: 2020-07-29
Last update: 2024-11-21
Created with KNIME version: v4.1.2

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!