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06_​Logistic_​Regression

Logistic Regression

This workflow is an example of how to build a basic prediction / classification model using logistic regression.

Logistic Regression: TrainingThis workflow is an example of how to build a basic prediction / classification model using logisticregression. Calculate accuracy andconfusion matrix80% for training set20% for testing setTrain model withSAG and Gausspriorz-normalize the data with0 mean and standarddeviation of 1Read the wine.tabledatasetUse the model to make predictions Scorer Partitioning LogisticRegression Learner Normalizer (PMML) Table Reader Logistic RegressionPredictor Logistic Regression: TrainingThis workflow is an example of how to build a basic prediction / classification model using logisticregression. Calculate accuracy andconfusion matrix80% for training set20% for testing setTrain model withSAG and Gausspriorz-normalize the data with0 mean and standarddeviation of 1Read the wine.tabledatasetUse the model to make predictionsScorer Partitioning LogisticRegression Learner Normalizer (PMML) Table Reader Logistic RegressionPredictor

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Created by: kathrinmelcher
Created at: 2017-06-20
On NodePit since: 2019-12-10
Last update: 2024-11-21
Created with KNIME version: v4.0.1
Tags: classification machine learning prediction analytics KNIME logistic regression logit data science

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