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Table 3 Performance evaluation of machine learning models before feature extraction

From: Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data

Parameters

Logistic Regression

Naïve Bayes

Support Vector Machine

Accuracy

91.67

87.96

94.44

Misclassification Rate

8.33

12.03

5.56

Precision

88.57

82.35

91.43

Sensitivity

86.11

80

91.43

Specificity

94.44

91.78

95.89

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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