Contains Tables A-E.
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https://figshare.com/articles/dataset/_Data_Mining_Strategies_to_Improve_Multiplex_Microbead_Immunoassay_Tolerance_in_a_Mouse_Model_of_Infectious_Diseases_/1294093
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Table A. Training Data Set: Mean values of MFI calculated using multivariate statistics. Table B. Training Data Set: Experimentally optimized testing data set for 10 attributes (nine infectious agents and normal). Table C. Testing Data Set: Sero-detection of infectious agents from data deployed two different animal facilities. Table D. Confusion matrices of the training set for Bayesnet and Random Forest algorithms. Table E. (a) Performance of the testing set with various classification algorithms—Test Efficiency and (b) Performance of the testing set with various classification algorithms—Mathew Correlation Coefficient (MCC).
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创建时间:
2015-01-23



