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21_​Regression_​Model_​Evaluation

21_Regression_Model_Evaluation
Exercise Regression Model Evaluation1) Read data german-credit-scoring.csv2) Partition the data into a training set (75 %) and test set (25 %). Draw randomly.3) Train a linear regression model on the training set to predict the duration of a credit. Use all other columns for theprediction.4) Apply the model to the test set5) Evaluate the performance of the linear regression model with the Numeric Scorer node. Which proportion of the varianceof the credit duration does the model explain? How many months is the mean absolute error of the model? Exercise Regression Model Evaluation1) Read data german-credit-scoring.csv2) Partition the data into a training set (75 %) and test set (25 %). Draw randomly.3) Train a linear regression model on the training set to predict the duration of a credit. Use all other columns for theprediction.4) Apply the model to the test set5) Evaluate the performance of the linear regression model with the Numeric Scorer node. Which proportion of the varianceof the credit duration does the model explain? How many months is the mean absolute error of the model?

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Created by: Maarit Laukkanen
Created at: 2020-04-20
On NodePit since: 2021-03-30
Last update: 2024-11-21
Created with KNIME version: v4.1.3
Tags: e-learningmodel evaluationr-squarederror metriceducation

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