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Exercise

Pipeline for predicting song popularity

For the final exercise, you will build a pipeline to impute missing values, scale features, and perform hyperparameter tuning of a logistic regression model. The aim is to find the best parameters and accuracy when predicting song genre!

All the models and objects required to build the pipeline have been preloaded for you.

Instructions

100 XP
  • Create the steps for the pipeline by calling a simple imputer, a standard scaler, and a logistic regression model.
  • Create a pipeline object, and pass the steps variable.
  • Instantiate a grid search object to perform cross-validation using the pipeline and the parameters.
  • Print the best parameters and compute and print the test set accuracy score for the grid search object.