Dysphonic Voice Pattern Analysis of Patients in Parkinson’s Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods

<div>Error curves of the Bagging ensemble input with the (a) modified Kullback-Leibler divergence (MKLD) and (b) interclass probability risk (ICPR) selected features. Boundary of 95% confidence interval is shown in pseudo-red-color.</div>

Computational and Mathematical Methods in Medicine

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Figure 2: Dysphonic Voice Pattern Analysis of Patients in Parkinson’s Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods 

Figure 2 | Dysphonic Voice Pattern Analysis of Patients in Parkinson’s Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods 