size_categories:100K<n<1M format:parquet modality:tabular library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: CustomerID
    dtype: float64
  - name: Age
    dtype: float64
  - name: Tenure
    dtype: float64
  - name: Usage Frequency
    dtype: float64
  - name: Support Calls
    dtype: float64
  - name: Payment Delay
    dtype: float64
  - name: Total Spend
    dtype: float64
  - name: Last Interaction
    dtype: float64
  - name: Churn
    dtype: float64
  - name: Gender_Female
    dtype: bool
  - name: Gender_Male
    dtype: bool
  - name: Subscription Type_Basic
    dtype: bool
  - name: Subscription Type_Premium
    dtype: bool
  - name: Subscription Type_Standard
    dtype: bool
  - name: Contract Length_Annual
    dtype: bool
  - name: Contract Length_Monthly
    dtype: bool
  - name: Contract Length_Quarterly
    dtype: bool
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 24995142.0
    num_examples: 308582
  - name: test
    num_bytes: 10712250.0
    num_examples: 132250
  download_size: 12646428
  dataset_size: 35707392.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---
