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Honduras_tree_APM_online_supplement_V4_for_publisher – Supplemental material for Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data
Yi Zheng
(Contributor)
Hyunjung Cheon
(Contributor)
Charles Katz
(Contributor)
Dataset
Overview
Scholarly Works
(1)
Research output
Research output per year
2020
2020
2020
1
Article
Research output per year
Research output per year
1 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Search results
2020
Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data
Zheng, Y.
,
Cheon, H.
&
Katz, C. M.
,
Oct 1 2020
,
In:
Applied Psychological Measurement.
44
,
7-8
,
p. 499-514
16 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Machine Learning
100%
learning method
86%
Benchmarking
71%
Juvenile Delinquency
39%
Decision Trees
27%
4
Scopus citations