This tutorial explains how to calculate Mean Absolute Percentage Error (MAPE) from scikit-learn on a regression model from catboost.
During this tutorial you will build and evaluate a model to predict arrival delay for flights in and out of NYC in 2013.
This tutorial uses:
Open a new Jupyter notebook and import the following:
The data is from rdatasets imported using the Python package statsmodels.
As this model will predict arrival delay, the Null values are caused by flights did were cancelled or diverted. These can be excluded from this analysis.
Build the regression model