Research Article
An Efficient and Effective Model to Handle Missing Data in Classification
Table 6
Run time corresponding to different methods in the application process.
| Dataset name | BART.m | missForest | BART | RF |
| Breast Cancer Wisconsin | 0 : 02.44 | 0 : 05.92 | 0 : 02.29 | 0 : 00.04 | Chronic kidney disease | 0 : 04.71 | 2 : 16.30 | 0 : 01.48 | 0 : 00.05 | Congressional voting records | 0 : 03.85 | 0 : 20.17 | 0 : 01.59 | 0 : 00.07 | Credit approval | 0 : 05.99 | 1 : 21.50 | 0 : 02.46 | 0 : 00.11 | Cylinder bands | 0 : 08.23 | 6 : 04.30 | 0 : 02.20 | 0 : 00.10 | Heart disease—Hungarian | 0 : 01.98 | 0 : 17.38 | 0 : 01.13 | 0 : 00.05 | Hepatitis | 0 : 01.45 | 0 : 19.29 | 0 : 00.74 | 0 : 00.05 | Horse colic | 0 : 05.10 | 1 : 37.10 | 0 : 01.44 | 0 : 00.08 | Mammographic mass | 0 : 04.58 | 0 : 40.35 | 0 : 03.20 | 0 : 00.12 | Ozone level detection | 0 : 58.98 | 4 : 39 : 36.98 | 0 : 07.81 | 0 : 00.11 |
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