ML-QuantSubscribe

RePEcML & AI Methods

Comparing ML Algorithms for Item Difficulty Prediction

A comparison of machine learning methods for predicting English reading comprehension test difficulty found that elastic net was best for continuous prediction, while random forests excelled in classification tasks.

Featured in No. 20 on 12 Oct 2023 · on release day

Released
12 Oct 2023
First featured
No. 20 · 12 Oct 2023
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
17
Identifier
RePEc:gam:jmathe:v:11:y:2023:i:19:p:4104-:d:1249993

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page