Open Access

Table A.3

Results of the real-life dataset test on the 50-50 distribution trained models to identify SN Ia.

Model Accuracy Precision Recall F1 Score
Logistic Regression 0.660.04+0.05Mathematical equation: $0.66^{+0.05}_{-0.04}$ 0.630.04+0.05Mathematical equation: $0.63^{+0.05}_{-0.04}$ 0.760.02+0.02Mathematical equation: $0.76^{+0.02}_{-0.02}$ 0.690.03+0.03Mathematical equation: $0.69^{+0.03}_{-0.03}$
SVM 0.550.04+0.06Mathematical equation: $0.55^{+0.06}_{-0.04}$ 0.580.04+0.20Mathematical equation: $0.58^{+0.20}_{-0.04}$ 0.900.84+0.08Mathematical equation: $0.90^{+0.08}_{-0.84}$ 0.660.55+0.04Mathematical equation: $0.66^{+0.04}_{-0.55}$
Decision Trees 0.680.07+0.05Mathematical equation: $0.68^{+0.05}_{-0.07}$ 0.680.06+0.06Mathematical equation: $0.68^{+0.06}_{-0.06}$ 0.660.12+0.08Mathematical equation: $0.66^{+0.08}_{-0.12}$ 0.680.09+0.05Mathematical equation: $0.68^{+0.05}_{-0.09}$
Random Forest 0.740.04+0.03Mathematical equation: $0.74^{+0.03}_{-0.04}$ 0.760.05+0.05Mathematical equation: $0.76^{+0.05}_{-0.05}$ 0.690.05+0.05Mathematical equation: $0.69^{+0.05}_{-0.05}$ 0.720.04+0.04Mathematical equation: $0.72^{+0.04}_{-0.04}$
AdaBoost 0.710.08+0.05Mathematical equation: $0.71^{+0.05}_{-0.08}$ 0.720.06+0.05Mathematical equation: $0.72^{+0.05}_{-0.06}$ 0.660.12+0.10Mathematical equation: $0.66^{+0.10}_{-0.12}$ 0.700.10+0.06Mathematical equation: $0.70^{+0.06}_{-0.10}$
Naive Bayes 0.570.02+0.03Mathematical equation: $0.57^{+0.03}_{-0.02}$ 0.550.02+0.02Mathematical equation: $0.55^{+0.02}_{-0.02}$ 0.780.06+0.04Mathematical equation: $0.78^{+0.04}_{-0.06}$ 0.640.02+0.02Mathematical equation: $0.64^{+0.02}_{-0.02}$
KNN 0.600.04+0.05Mathematical equation: $0.60^{+0.05}_{-0.04}$ 0.580.04+0.03Mathematical equation: $0.58^{+0.03}_{-0.04}$ 0.760.08+0.06Mathematical equation: $0.76^{+0.06}_{-0.08}$ 0.650.04+0.04Mathematical equation: $0.65^{+0.04}_{-0.04}$
MLP 0.640.03+0.04Mathematical equation: $0.64^{+0.04}_{-0.03}$ 0.610.03+0.04Mathematical equation: $0.61^{+0.04}_{-0.03}$ 0.760.04+0.04Mathematical equation: $0.76^{+0.04}_{-0.04}$ 0.680.03+0.03Mathematical equation: $0.68^{+0.03}_{-0.03}$
Quadratic Discriminant 0.510.04+0.06Mathematical equation: $0.51^{+0.06}_{-0.04}$ 0.560.32+0.05Mathematical equation: $0.56^{+0.05}_{-0.32}$ 0.180.16+0.46Mathematical equation: $0.18^{+0.46}_{-0.16}$ 0.270.24+0.33Mathematical equation: $0.27^{+0.33}_{-0.24}$

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