For this aim we introduce a methodology to measure the similarity of classifiers by comparing their datasets, transfer functions and confusion matrices. We�...
Binary Classification Models Comparison: On the Similarity of Datasets. 109 predictive classification models. The performance of the classification models is.
For this aim we introduce a methodology to measure the similarity of classifiers by comparing their datasets, transfer functions and confusion matrices. We�...
For this aim we introduce a methodology to measure the similarity of classifiers by comparing their datasets, transfer functions and confusion matrices. We�...
For this aim we introduce a methodology to measure the similarity of classifiers by comparing their datasets, transfer functions and confusion matrices. We�...
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For this aim we introduce a methodology to measure the similarity of classifiers by comparing their datasets, transfer functions and confusion matrices. We�...
A methodology to measure the similarity for predictive models performances by comparing their confusion matrices provides a working way to select models�...
For this aim we introduce a methodology to measure the similarity of classifiers by comparing their datasets, transfer functions and confusion matrices. We�...
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and Ridley M.J. (2011): "Binary Classification Models Comparison: on the Similarity of Datasets and Confusion Matrix for Predictive Toxicology Applications�...