{"url":"/dataset/click-through-rate-prediction-avazu","name":"Click-Through Rate Prediction - Avazu","full_name":null,"description_markdown":"# File descriptions\r\n\r\n* train - Training set. 10 days of click-through data, ordered chronologically. Non-clicks and clicks are subsampled according to different strategies.\r\n* test - Test set. 1 day of ads to for testing your model predictions. \r\n* sampleSubmission.csv - Sample submission file in the correct format, corresponds to the All-0.5 Benchmark.\r\n\r\n# Data fields\r\n\r\n| Key   |      Description      |\r\n|----------|:-------------:|\r\n| id | ... |\r\n| click  | 0/1 for non-click/click |\r\n| hour | format is YYMMDDHH, so 14091123 means 23:00 on Sept. 11, 2014 UTC. |\r\n| C1 | anonymized categorical variable|\r\n| banner_pos | ... |\r\n| site_id | ... |\r\n| site_domain | ... |\r\n| site_category | ... |\r\n| app_id | ... |\r\n| app_domain | ... |\r\n| app_category | ... |\r\n| device_id | ... |\r\n| device_ip | ... |\r\n| device_model | ... |\r\n| device_type | ... |\r\n| device_conn_type | ... |\r\n| C14-C21| anonymized categorical variable |","description_withheld":null,"homepage":"https://www.kaggle.com/competitions/avazu-ctr-prediction/data","introduced_date":"2015-02-10","introduced_date_note":null,"introduced_by":null,"license":{"name":"?","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["Click-Through Rate Prediction - Avazu"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}