Misclassification Bias in Computational Social Science: A Simulation Approach for Assessing the Impact of Classification Errors on Social Indicators Research.
Sergey SmetaninMikhail M. KomarovPublished in: IEEE Access (2022)
Keyphrases
- social sciences
- classification error
- social scientists
- misclassification costs
- computer science
- digital government
- training set
- decision rules
- digital archiving
- cost sensitive
- diverse fields
- bayesian networks
- columbia university
- class labels
- error rate
- training samples
- generalization error
- class distribution
- training examples
- active learning
- prior knowledge
- real world
- nsf funded