Table 12.

Good results obtained with ML/AI models.

Model type	Preset	Accuracy % (Validation)	Accuracy % (Test)	Macro precision % (Validation)	Macro recall % (Validation)	Macro F1 score % (Validation)	Macro precision % (Test)	Macro recall % (Test)	Macro F1 score % (Test)
Tree	Fine tree	99.92	99.81	99.92	99.92	99.92	99.81	99.81	99.81
SVM	Quadratic SVM	99.79	99.73	99.79	99.79	99.79	99.73	99.73	99.73
	Cubic SVM	99.89	99.81	99.89	99.89	99.89	99.82	99.81	99.81
	Fine Gaussian SVM	99.81	99.65	99.81	99.81	99.81	99.65	99.65	99.65
	Medium Gaussian SVM	97.87	98.65	97.89	97.87	97.86	98.65	98.65	98.64
KNN	Fine KNN	99.82	99.73	99.82	99.82	99.82	99.73	99.73	99.73
	Medium KNN	99.66	99.68	99.66	99.66	99.66	99.68	99.68	99.68
	Coarse KNN	97.77	98.63	97.77	97.77	97.77	98.63	98.63	98.63
	Cosine KNN	99.69	99.71	99.69	99.69	99.69	99.71	99.71	99.71
	Cubic KNN	99.48	99.48	99.48	99.48	99.48	99.48	99.48	99.48
	Weighted KNN	99.75	99.73	99.75	99.75	99.75	99.73	99.73	99.73
Kernel	SVM Kernel	99.77	99.66	99.77	99.77	99.77	99.67	99.66	99.66
	Logistic Regression Kernel	99.05	99.34	99.05	99.05	99.04	99.34	99.34	99.34
Ensemble	Boosted Trees	99.70	99.92	99.70	99.70	99.70	99.92	99.92	99.92
	Bagged Trees	99.98	99.91	99.98	99.98	99.98	99.91	99.91	99.91
Neural network	Narrow Neural Network	99.87	99.80	99.87	99.87	99.87	99.80	99.80	99.80