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Standardized Coefficients for Regression

Standardized Coefficients for Regression
Consider the table "mkting_campaigns" containing the results of 452 marketing campaigns.The objective of the analysis is to analyze the dependence of the campaign performance, measured through the Conversion Rate ("c_rate" variable), onsome campaign characteristics, such as the average price of the promoted products ("price"), the number of media involved ("n_media"), the averagediscount applied ("discount") and the marketing costs of the campaing ("mkting_costs"). We estimated a linear regression model to study the dependence between the dependent variable (c_rate) and the predictors. In order to compare theeffects of the predictors, the "Standardized coefficents" component has been used as the variables come with different units of measurement.Finally, the model has been validated considering goodness and error metrics. Compare predictors'effectModel estimationTrain / TestTest set error metricsExplore bivariate correlationLoad CampaigndataUnivariate EDA StandardizedCoefficients LinearRegression Model Partitioning Table View Linear Correlation Excel Reader Statistics Consider the table "mkting_campaigns" containing the results of 452 marketing campaigns.The objective of the analysis is to analyze the dependence of the campaign performance, measured through the Conversion Rate ("c_rate" variable), onsome campaign characteristics, such as the average price of the promoted products ("price"), the number of media involved ("n_media"), the averagediscount applied ("discount") and the marketing costs of the campaing ("mkting_costs"). We estimated a linear regression model to study the dependence between the dependent variable (c_rate) and the predictors. In order to compare theeffects of the predictors, the "Standardized coefficents" component has been used as the variables come with different units of measurement.Finally, the model has been validated considering goodness and error metrics. Compare predictors'effectModel estimationTrain / TestTest set error metricsExplore bivariate correlationLoad CampaigndataUnivariate EDA StandardizedCoefficients LinearRegression Model Partitioning Table View Linear Correlation Excel Reader Statistics

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Created by: Daniele
Created at: 2020-11-10
On NodePit since: 2021-11-10
Last update: 2024-11-23
Created with KNIME version: v4.4.2
Tags: regressionstandardizedcoefficientsML interpretability

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