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Classification results for selected working point (15 best features and 50% train set size) with resultant equal error rates (EER) of average percentage values (%) for each scenario and each classifier employed: K-Nearest Neighbors (KNN), Parzen Window (PW), Support Vector Machine (SVM), and Fuzzy K-Nearest Neighbors (FKNN).

Classification results for selected working point (15 best features and 50% train set size) with resultant equal error rates (EER) of average percentage values (%) for each scenario and each classifier employed: K-Nearest Neighbors (KNN), Parzen Window (PW), Support Vector Machine (SVM), and Fuzzy K-Nearest Neighbors (FKNN).

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TABLE 3 . The range of numbers of individuals correctly and incorrectly...
FIGURE 5. Classification results for selected working point (15 best...
Machine Learning Distinguishes Neurosurgical Skill Levels in a Virtual Reality Tumor Resection Task
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  • Nov 2018
Background: Virtual reality simulators and machine learning have the potential to augment understanding, assessment and training of psychomotor performance in neurosurgery residents. Objective: This study outlines the first application of machine learning to distinguish "skilled" and "novice" psychomotor performance during a virtual reality neurosu...
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... Performance at selected working point Figure 5 provides a comparison of classifier performance for all scenarios when working point is considered as 50% train set size and 15 best features and outlines that Fuzzy K-Nearest Neighbors classifier has the best performance with equal error rates ranging from 8.3%-14.5%. In Table 2 the best 30 features are marked with one asterisk (*) and the best 15 features with two asterisks (**). ...
Context 2
... Performance at selected working point Figure 5 provides a comparison of classifier performance for all scenarios when working point is considered as 50% train set size and 15 best features and outlines that Fuzzy K-Nearest Neighbors classifier has the best performance with equal error rates ranging from 8.3%-14.5%. In Table 2 the best 30 features are marked with one asterisk (*) and the best 15 features with two asterisks (**). ...

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