Click-Through Rate Prediction - Avazu

?Introduced 2015-02-10

File descriptions

  • train - Training set. 10 days of click-through data, ordered chronologically. Non-clicks and clicks are subsampled according to different strategies.
  • test - Test set. 1 day of ads to for testing your model predictions.
  • sampleSubmission.csv - Sample submission file in the correct format, corresponds to the All-0.5 Benchmark.

Data fields

| Key | Description | |----------|:-------------:| | id | ... | | click | 0/1 for non-click/click | | hour | format is YYMMDDHH, so 14091123 means 23:00 on Sept. 11, 2014 UTC. | | C1 | anonymized categorical variable| | banner_pos | ... | | site_id | ... | | site_domain | ... | | site_category | ... | | app_id | ... | | app_domain | ... | | app_category | ... | | device_id | ... | | device_ip | ... | | device_model | ... | | device_type | ... | | device_conn_type | ... | | C14-C21| anonymized categorical variable |