Use case on the click-prediction-small dataset

Dataset Click_prediction_small

Machine Learning Task: Binary classification

This is a Click_prediction_small database. This data is derived from the 2012 KDD Cup. The data is about advertisements shown alongside search results in a search engine and whether or not people clicked on these ads. A search session contains information on user id, the user's query, ads displayed to the user, and the target feature indicating whether a user clicked at least one of the ads in this session.

Available at OpenML:

Category: Marketing

# Rows: 39,948 # Columns: 11

Target: click


Numeric: impression, url_hash, ad_id, advertiser_id, depth, position, query_id, keyword_id, title_id, description_id, user_id

Machine Learning Use Case Marketing

Area Under ROC Curve (AUC)

Click Prediction Small Auc

Accuracy (ACC)

Click Prediction Small Acc

Balanced Accuracy (BALACC)

Click Prediction Small Balacc

Cross-Entropy Loss (LOGLOSS)

Click Prediction Small Logloss

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