Table 6 Performance measures for proposed method using high-dimensional data
Algorithm | Datasets | Accuracy | Precision | Recall | \(F_{1}\)-score | Kappa |
|---|---|---|---|---|---|---|
Avg. ± SD. | Avg. ± SD. | Avg. ± SD. | Avg. ± SD. | Avg. ± SD. | ||
RF | Parkinson’s disease | 83.87 ± 1.39 | 74.58 ± 3.05 | 90.49 ± 3.97 | 81.72 ± 2.66 | 0.67 ± 0.05 |
\((\mu ,\lambda )\)-TAN | Parkinson’s disease | 85.02 ± 2.81 | 77.56 ± 4.12 | 90.26 ± 2.63 | 83.37 ± 2.79 | 0.69 ± 0.05 |
RF | Diabetes | 87.03 ± 1.08 | 79.03 ± 4.11 | 91.90 ± 2.90 | 85.34 ± 3.09 | 0.73 ± 0.05 |
\((\mu ,\lambda )\)-TAN | Diabetes | 88.28 ± 3.42 | 81.36 ± 6.34 | 92.92 ± 5.24 | 86.54 ± 3.81 | 0.76 ± 0.06 |
RF | Digital colposcopies | 84.33 ± 5.88 | 75.77 ± 2.56 | 90.23 ± 3.12 | 82.56 ± 2.99 | 0.68 ± 0.05 |
\((\mu ,\lambda )\)-TAN | Digital colposcopies | 85.91 ± 2.99 | 78.12 ± 3.45 | 90.88 ± 2.55 | 83.96 ± 2.81 | 0.69 ± 0.06 |