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15_​Logistic_​Regression_​with_​Spark

Logistic Regression with Spark

This workflow is builds a classification model using logistic regression in SPARK.

Create aSpark DataFrameTrain model with L2RegularizationApply trained modelEvaluate70 % Training30 % TestingRead wine datasetCreate Local BigData Environment Table to Spark Spark LogisticRegression Learner Spark Predictor(Classification) Spark Scorer Spark Partitioning Table Reader Create aSpark DataFrameTrain model with L2RegularizationApply trained modelEvaluate70 % Training30 % TestingRead wine datasetCreate Local BigData Environment Table to Spark Spark LogisticRegression Learner Spark Predictor(Classification) Spark Scorer Spark Partitioning Table Reader

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

Download Workflow
Created by: kathrinmelcher
Created at: 2017-06-20
On NodePit since: 2021-09-30
Last update: 2024-04-30
Created with KNIME version: v4.4.1
Tags: classificationmachine learningpredictionanalyticslogistic regressiondata scienceSparkbig data

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