Description:

In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding.

Data Description

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

• id: ad identifier

• 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 variables