Related Experiment Video
Updated: Mar 26, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
A COMPARISON OF THE CLASSIFICATION ACCURACY OF PROFILE SIMILARITY MEASURES
Abstract:
Thirteen profile similarity measures were compared, using generated data. Profiles were generated from sets of three standards by adding random and normally distributed error components to the profile points of the standards. The three standards within each set were vaned systematically, altering the elevation, scatter, and shape similarities between the standards. A correct classification occurred if the generated profile was most similar to the standard from which it was generated. Significant differences were found between the proportions of correct classifications for the 13 profile similarity measures under all conditions. Osgood and Suci's D and Cattell's rB were superior to or equal to all other measures under all conditions.
Related Concept Videos
Causes of Similarity-Dissimilarity Effect
Accuracy and Precision
Accuracy and Precision
Spearman's Rank Correlation Test
Spearman's test calculates correlation by...
Multiple Comparison Tests
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Factors Influencing Attraction III: Similarity

