Table 5. Average accuracy as a result of... | Emerald Publishing

Table 5.

Average accuracy as a result of a ten stratified folds cross validation

Classifier	Accuracy	Precision	Recall	F1-score
Decision tree (DT)	0.93444	0.91	0.90	0.905
Gaussian naïve-bayes (GNB)	0.86311	0.85	0.79	0.82
K-nearest neighbors (KNN)	0.99814	0.99	0.99	0.99
Logistic regression (LR)	0.88241	0.88	0.81	0.845
Multilayer perceptron (MLP)	0.99537	0.96	0.94	0.95
Random forest (RF)	0.99241	0.94	0.96	0.95
Support vector machine (SVM)	0.99703	0.98	0.97	0.975

Classifier	Accuracy	Precision	Recall	F1-score
Decision tree (DT)	0.93444	0.91	0.90	0.905
Gaussian naïve-bayes (GNB)	0.86311	0.85	0.79	0.82
K-nearest neighbors (KNN)	0.99814	0.99	0.99	0.99
Logistic regression (LR)	0.88241	0.88	0.81	0.845
Multilayer perceptron (MLP)	0.99537	0.96	0.94	0.95
Random forest (RF)	0.99241	0.94	0.96	0.95
Support vector machine (SVM)	0.99703	0.98	0.97	0.975

Source(s): Authors’ own work