A Machine Learning and Deep Learning Approach for Recognizing Handwritten Digits

Table 1

Comparison of sensitivity, precision, and specificity of SVM, decision tree, random forest, KNN, Gaussian Naive Bayes, GP, and CNN classifiers.

Classifier	Sensitivity (%)	Precision (%)	Specificity (%)
SVM	98.16	98.64	98.96
Decision tree	78.24	79.36	80.42
Random forest	81.72	82.88	83.64
KNN	97.18	97.92	98.58
Gaussian Naive Bayes	85.74	86.36	86.80
GP	98.10	98.58	98.92
CNN	98.48	98.86	99.14