Telco Churn Prediction Example

Machine Learning
1

Here, we will cover how to build a Random Forest Model to predict customer churn in the telecommunications market.

The workflow:

  • Reads in the dataset from a tab separated file.
  • Applies StringIndexer on the field “intl_plan”.
  • Applies VectorAssembler on the fields we want to model on.
  • Splits the dataset into (.8, .2).
  • Performs Random Forest Classification.
  • Performs prediction using the model generated on the remaining 20% dataset.
  • Finally evaluates the prediction result.

The full tutorial is available here: Telco Churn Prediction — Sparkflows 3.0 documentation