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Text · dataset · 2017

Tackling Class Imbalance with Ranking

Listed in INESC TEC Research Data Repository

The dataset comes originally from UCI Machine Learning.

Description

The multiclass datasets were transformed in binary classification as mentioned in the paper. Ranking methods were applied to improve class imbalance.

The datasets are divided in 30 folds so that other class imbalance methods can be compared to the methods in the paper. The code used in the paper is also provided.

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Topics

Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
INESC TEC Research Data Repositorya778de12-ca63-45ab-abd5-e7822a2bac1310 d agoJSON v1
FieldAssertionExtractorEvidence
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