Comparing the performance of meta-classifiers—a case study on selected imbalanced data sets relevant for prediction of liver toxicity
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Title
Comparing the performance of meta-classifiers—a case study on selected imbalanced data sets relevant for prediction of liver toxicity
Authors
Keywords
Imbalanced datasets, Machine learning, Classification model, Meta-classifiers, Stratified bagging, Cost sensitive classifier
Journal
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
Volume 32, Issue 5, Pages 583-590
Publisher
Springer Nature
Online
2018-04-19
DOI
10.1007/s10822-018-0116-z
References
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