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Table 4 Precision, recall, and F1-Score values for individual classes across RFC, NBC, KNNC, and SVC

From: Fast and effective assessment for individuals with special needs form optimization and prediction models

Class

Metric

Random Forest

Naïve Bayes

KNN

Support Vector

Mental Disability

Precision

0.8427

0.8300

0.8200

0.8000

 

Recall

0.9146

0.9000

0.8900

0.8700

 

F1 Score

0.8772

0.8650

0.8530

0.8320

Behavior and Adaptation

Problems

Precision

0.8765

0.8600

0.8550

0.8400

 

Recall

0.8658

0.8500

0.8400

0.8200

 

F1 Score

0.8712

0.8550

0.8470

0.8300

Autism Spectrum Disorders

Precision

0.9250

0.9150

0.9100

0.8850

 

Recall

0.9024

0.8900

0.8800

0.8600

 

F1 Score

0.9136

0.9020

0.8940

0.8720

Physical Inadequacy

Precision

0.9012

0.8900

0.8800

0.8600

 

Recall

0.8902

0.8800

0.8700

0.8400

 

F1 Score

0.8957

0.8850

0.8750

0.8500

Visual or Hearing Impairment

Precision

0.9167

0.9100

0.9000

0.8800

 

Recall

0.8049

0.7900

0.7800

0.7600

 

F1 Score

0.8571

0.8460

0.8360

0.8100

Specific Learning Disability

Precision

0.8652

0.8550

0.8500

0.8300

 

Recall

0.9390

0.9250

0.9200

0.9000

 

F1 Score

0.9006

0.8890

0.8840

0.8630