Table 7 Average classification accuracies of the MVI methods for the numerical datasets
From: Adaptive multiple imputations of missing values using the class center
Dataset | Accuracy (%) | |||||
|---|---|---|---|---|---|---|
Mean | SVM | KNN | RF | CCMVI | AMICC | |
Blood | 73.409 | 73.832 | 75.508 | 74.808 | 76.535 | 76.194 |
Ecoli | 70.708 | 70.833 | 75.310 | 75.697 | 77.107 | 77.480 |
Glass | 60.056 | 60.766 | 63.804 | 64.869 | 63.664 | 69.876 |
Ionosphere | 90.729 | 90.712 | 92.308 | 91.351 | 93.168 | 91.377 |
Iris | 88.333 | 88.627 | 93.787 | 94.000 | 95.080 | 90.756 |
Liver cancer | 57.977 | 58.255 | 58.725 | 58.771 | 58.777 | 57.976 |
Optdigits | 53.820 | 55.247 | 54.234 | 67.799 | 66.024 | 97.897 |
Pima | 64.886 | 64.895 | 65.353 | 65.069 | 65.385 | 79.366 |
Sonar | 53.923 | 53.990 | 56.567 | 55.904 | 58.346 | 87.532 |
Wine | 85.022 | 83.933 | 86.764 | 86.404 | 89.112 | 98.127 |
Yeast | 36.956 | 37.208 | 39.071 | 39.365 | 39.058 | 47.906 |
Column 2C | 67.729 | 67.677 | 67.858 | 67.607 | 67.839 | 84.452 |
Column 3C | 48.381 | 48.219 | 48.535 | 48.555 | 48.626 | 72.602 |
Average | 65.533 (6) | 65.707 (5) | 67.525 (4) | 68.477 (3) | 69.132 (2) | 79.349 (1) |