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Psychology (MSc)

Classification Approaches for Data With Class Imbalance and Biased Labelled Sample

de Pinho Uliana, Alexandre (2024)

Classification Approaches for Data With Class Imbalance and Biased Labelled Sample

Master thesis | Psychology (MSc)

algorithmic bias, class imbalance, machine learning, labelling bias, semi-supervised learning, supervised learning, predictive modeling, mean reciprocal rank (MRR), pseudo-labelling, random forest classifier, simulation-based approach, data imbalance, model performance, precision@100, label propagation, label spreading, Netherlands Labour Authority, algorithmic bias.

Author: de Pinho Uliana, Alexandre

Faculty: Faculty of Social & Behavioural Sciences

Specialisation: Methodology and Statistics in Psychology

Supervisors: X.van de Putte
S.M.H. Huisman Ph.D

ECTS Credits: 20

Language: en