Icon

Linear_​Regression - Solution

Run Linear Regression and assess using x-partitionerPart B Normalize, partition data Run the same flow as Part A, however, use a X-Partitioner to split the data. This will enable us to assess whether there is achance that we we lucky in our results, by using multiple training/test sets. Run Multiple Regression and Assess Performance - Part A Pre-completed steps to set up the data. The CSV reader pullsfrom this location:knime://knime.workflow/../_INPUT/WeeklySalesAtSize(FakeData).csv Pre completed Data Setup Apply the Regression Learner and Predictor Use the Numeric Scorer to understand how themodel is performing.(You can also denormalize the data) Quickly reminder of theLinear Correlation node Node 164Node 165Node 166Node 167Node 168Node 169Node 170Node 171Node 172Node 173Node 174Node 176 Linear RegressionLearner Partitioning Linear Correlation(deprecated) X-Aggregator X-Partitioner Linear RegressionLearner Regression Predictor(deprecated) Regression Predictor(deprecated) Normalizer Denormalizer Numeric Scorer(deprecated) Data Setup CSV Reader Run Linear Regression and assess using x-partitionerPart B Normalize, partition data Run the same flow as Part A, however, use a X-Partitioner to split the data. This will enable us to assess whether there is achance that we we lucky in our results, by using multiple training/test sets. Run Multiple Regression and Assess Performance - Part A Pre-completed steps to set up the data. The CSV reader pullsfrom this location:knime://knime.workflow/../_INPUT/WeeklySalesAtSize(FakeData).csv Pre completed Data Setup Apply the Regression Learner and Predictor Use the Numeric Scorer to understand how themodel is performing.(You can also denormalize the data) Quickly reminder of theLinear Correlation node Node 164Node 165Node 166Node 167Node 168Node 169Node 170Node 171Node 172Node 173Node 174Node 176 Linear RegressionLearner Partitioning Linear Correlation(deprecated) X-Aggregator X-Partitioner Linear RegressionLearner Regression Predictor(deprecated) Regression Predictor(deprecated) Normalizer Denormalizer Numeric Scorer(deprecated) Data Setup CSV Reader

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: richardson.bg
Created at: 2017-05-15
On NodePit since: 2024-10-14
Last update: 2024-12-17
Created with KNIME version: v5.2.0

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

Try NodePit Runner!