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11_​Housing_​Value_​Prediction_​Using_​Regression

Housing Value Prediction using Regression

This workflow shows how to use an MLP to predict a target value of a small real world example dataset.

Dataset and description available at: https://archive.ics.uci.edu/ml/datasets/Housing

Workflow Requirements
KNIME Analytics Platform 3.4.0
KNIME Deeplearning4J Integration

Housing Value Prediction using RegressionThis workflow shows how to use a MLP to predict a target value of asmall real world example dataset. Additionally, cross validation is usedto assess the results. Scorepredictions5-fold crossvalidationTransposein order to aggregaterows in loopView scores acrossdifferent partitionsStandardize by z-scorenormalization SimpleMLP Numeric Scorer(deprecated) X-Partitioner Transpose Loop End Learning Prediction Read andStandardize Data Housing Value Prediction using RegressionThis workflow shows how to use a MLP to predict a target value of asmall real world example dataset. Additionally, cross validation is usedto assess the results. Scorepredictions5-fold crossvalidationTransposein order to aggregaterows in loopView scores acrossdifferent partitionsStandardize by z-scorenormalizationSimpleMLP Numeric Scorer(deprecated) X-Partitioner Transpose Loop End Learning Prediction Read andStandardize Data

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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: David Kolb
Created at: 2016-07-21
On NodePit since: 2019-07-12
Last update: 2026-09-15
Created with KNIME version: v4.1.0
Tags: deeplearningmachine learningregressionmlp

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