Table 8 Evaluation results of logistic regression.

From: Robust evaluation of classical and quantum machine learning under noise, imbalance, feature reduction and explainability

Model

Dataset

Sampler

Noise

Accuracy (meanÂ ± std)

Precision (meanÂ ± std)

Recall (meanÂ ± std)

F1 (meanÂ ± std)

Avg Time (s)

LogisticRegression

IRIS

SMOTE

0

0.9889 Â ± 0.0157

0.9899 Â ± 0.0143

0.9889 Â ± 0.0157

0.9889 Â ± 0.0158

0.4

LogisticRegression

IRIS

SMOTE

0.01

0.9778 Â ± 0.0157

0.9798 Â ± 0.0143

0.9778 Â ± 0.0157

0.9777 Â ± 0.0158

0.44

LogisticRegression

IRIS

ADASYN

0

0.9889 Â ± 0.0157

0.9899 Â ± 0.0143

0.9889 Â ± 0.0157

0.9889 Â ± 0.0158

0.51

LogisticRegression

IRIS

ADASYN

0.01

0.9778 Â ± 0.0157

0.9798 Â ± 0.0143

0.9778 Â ± 0.0157

0.9777 Â ± 0.0158

0.38

LogisticRegression

WINE

SMOTE

0

0.9815 Â ± 0.0262

0.9846 Â ± 0.0218

0.9815 Â ± 0.0262

0.9816 Â ± 0.0260

0.37

LogisticRegression

WINE

SMOTE

0.01

0.9722 Â ± 0.0227

0.9759 Â ± 0.0189

0.9722 Â ± 0.0227

0.9723 Â ± 0.0225

0.42

LogisticRegression

WINE

ADASYN

0

0.9630 Â ± 0.0131

0.9675 Â ± 0.0098

0.9630 Â ± 0.0131

0.9631 Â ± 0.0129

0.43

LogisticRegression

WINE

ADASYN

0.01

0.9722 Â ± 0.0227

0.9759 Â ± 0.0189

0.9722 Â ± 0.0227

0.9723 Â ± 0.0225

0.51

LogisticRegression

BREAST_CANCER

SMOTE

0

0.9649 Â ± 0.0072

0.9658 Â ± 0.0079

0.9649 Â ± 0.0072

0.9650 Â ± 0.0073

0.54

LogisticRegression

BREAST_CANCER

SMOTE

0.01

0.9678 Â ± 0.0041

0.9688 Â ± 0.0047

0.9678 Â ± 0.0041

0.9679 Â ± 0.0042

0.48

LogisticRegression

BREAST_CANCER

ADASYN

0

0.9503 Â ± 0.0041

0.9526 Â ± 0.0038

0.9503 Â ± 0.0041

0.9505 Â ± 0.0040

0.4

LogisticRegression

BREAST_CANCER

ADASYN

0.01

0.9532 Â ± 0.0041

0.9549 Â ± 0.0056

0.9532 Â ± 0.0041

0.9534 Â ± 0.0043

0.49

LogisticRegression

PIMA

SMOTE

0

0.7749 Â ± 0.0251

0.7868 Â ± 0.0273

0.7749 Â ± 0.0251

0.7780 Â ± 0.0249

0.46

LogisticRegression

PIMA

SMOTE

0.01

0.7771 Â ± 0.0221

0.7895 Â ± 0.0238

0.7771 Â ± 0.0221

0.7803 Â ± 0.0219

0.46

LogisticRegression

PIMA

ADASYN

0

0.7727 Â ± 0.0140

0.7894 Â ± 0.0144

0.7727 Â ± 0.0140

0.7764 Â ± 0.0134

0.37

LogisticRegression

PIMA

ADASYN

0.01

0.7814 Â ± 0.0201

0.7965 Â ± 0.0173

0.7814 Â ± 0.0201

0.7848 Â ± 0.0192

0.4

LogisticRegression

HAR

SMOTE

0

0.9600 Â ± 0.0071

0.9606 Â ± 0.0067

0.9600 Â ± 0.0071

0.9600 Â ± 0.0070

26.67

LogisticRegression

HAR

SMOTE

0.01

0.9542 Â ± 0.0096

0.9547 Â ± 0.0092

0.9542 Â ± 0.0096

0.9543 Â ± 0.0095

26.44