Table 5 Average performance of the five folds of the proposed classification models
From: Application of machine learning techniques for predicting survival in ovarian cancer
Model | Class | Accuracy (%) | PPV (%) | NPV (%) | Sensitivity or recall (%) | Specificity (%) | F1-Score (%) | AUC (%) |
|---|---|---|---|---|---|---|---|---|
KNN | Class 0 | 85.68 | 63.45 | 91.64 | 67.07 | 90.34 | 65.20 | 78.70 |
Class 1 | 90.23 | 70.04 | 97.16 | 89.45 | 90.43 | 78.56 | 89.94 | |
Class 2 | 81.41 | 54.77 | 86.02 | 40.45 | 91.65 | 46.52 | 66.05 | |
Class 3 | 89.52 | 74.53 | 93.13 | 72.34 | 93.82 | 73.41 | 83.08 | |
Class 4 | 93.26 | 84.66 | 95.29 | 80.99 | 96.33 | 82.78 | 88.66 | |
Average | 88.02 | 69.49 | 92.65 | 70.06 | 92.51 | 69.29 | 81.29 | |
SVM | Class 0 | 83.14 | 56.78 | 91.09 | 65.80 | 87.47 | 60.95 | 76.64 |
Class 1 | 74.69 | 35.30 | 83.36 | 31.85 | 85.39 | 33.48 | 58.62 | |
Class 2 | 78.05 | 37.21 | 81.38 | 13.89 | 94.09 | 20.20 | 53.99 | |
Class 3 | 75.78 | 35.80 | 82.74 | 26.51 | 88.11 | 30.45 | 57.31 | |
Class 4 | 70.98 | 37.64 | 90.12 | 68.62 | 71.58 | 48.61 | 70.10 | |
Average | 76.53 | 40.55 | 85.74 | 41.33 | 85.33 | 38.74 | 63.33 | |
DT | Class 0 | 83.60 | 59.42 | 89.29 | 56.67 | 90.33 | 58.01 | 73.50 |
Class 1 | 84.38 | 60.52 | 90.67 | 63.08 | 89.71 | 61.77 | 76.39 | |
Class 2 | 76.15 | 39.99 | 84.74 | 38.34 | 85.61 | 39.13 | 61.98 | |
Class 3 | 82.09 | 55.18 | 88.91 | 55.80 | 88.67 | 55.48 | 72.23 | |
Class 4 | 86.27 | 65.16 | 91.77 | 67.40 | 90.99 | 66.26 | 79.19 | |
Average | 82.50 | 56.05 | 89.08 | 56.26 | 89.06 | 56.13 | 72.66 | |
RF | Class 0 | 88.51 | 69.79 | 93.63 | 74.99 | 91.88 | 72.30 | 83.44 |
Class 1 | 92.09 | 83.16 | 94.08 | 75.81 | 96.16 | 79.31 | 85.98 | |
Class 2 | 81.61 | 54.08 | 88.37 | 53.35 | 88.68 | 53.70 | 71.01 | |
Class 3 | 89.21 | 74.04 | 92.81 | 70.95 | 93.78 | 72.46 | 82.37 | |
Class 4 | 92.18 | 78.49 | 95.91 | 83.96 | 94.24 | 81.13 | 89.10 | |
Average | 88.72 | 71.91 | 92.96 | 71.81 | 92.95 | 71.78 | 82.38 | |
AdaBoost | Class 0 | 85.17 | 63.25 | 90.50 | 61.53 | 91.10 | 62.02 | 76.32 |
Class 1 | 78.13 | 46.17 | 85.55 | 40.85 | 87.46 | 42.77 | 64.16 | |
Class 2 | 75.37 | 38.95 | 84.99 | 40.60 | 84.07 | 39.70 | 62.34 | |
Class 3 | 76.70 | 36.97 | 82.46 | 23.43 | 90.02 | 28.67 | 56.72 | |
Class 4 | 75.86 | 42.85 | 89.27 | 61.87 | 79.37 | 50.62 | 70.62 | |
Average | 78.25 | 45.64 | 86.55 | 45.66 | 86.40 | 44.76 | 66.03 | |
XGBoost | Class 0 | 87.98 | 67.12 | 94.33 | 78.28 | 90.41 | 72.27 | 84.34 |
Class 1 | 85.78 | 68.45 | 89.01 | 53.69 | 93.81 | 60.18 | 73.75 | |
Class 2 | 76.64 | 43.22 | 87.63 | 53.47 | 82.44 | 47.78 | 67.95 | |
Class 3 | 80.73 | 52.87 | 84.89 | 34.29 | 92.34 | 41.56 | 63.31 | |
Class 4 | 82.60 | 55.61 | 90.79 | 64.68 | 87.08 | 59.79 | 75.88 | |
Average | 82.75 | 57.45 | 89.33 | 56.88 | 89.22 | 56.32 | 73.05 |