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Model training

Next, you will estimate a logistic response model on train.data. Therefore, you use the predictor variables that remained after model selection to explain the purchase probabilities for HOPPINESS. You investigate the train.model and compare the results to the previously fitted extended.model by using the function margins().

Это упражнение является частью курса

Building Response Models in R

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Инструкции к упражнению

  • Estimate a logistic response model on train.data. Explain HOPPINESS by price.ratio, FEAT.HOP, and FEATDISPL.HOP. Use the function glm() with the family argument binomial and assign the result to an object named train.model.
  • Investigate the train.model object by using the function margins().
  • Investigate the extended.model object by using the function margins().

Интерактивное практическое упражнение

Попробуйте выполнить это упражнение, дополнив этот пример кода.

# Fit the logistic response model to train.data
___ <- glm(___, family = binomial, data = ___)

# Investigate the train.model
___

# Investigate the extended.model
___
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