Table 1 The RMS errors of different imputation methods for time-series data set having non-randomly generated missing entries.
From: Reuse of imputed data in microarray analysis increases imputation efficiency
missing rate(%) | KNN | SKNN | EM-SKNN | MI | MLE |
|---|---|---|---|---|---|
10 | 0.2171 | 0.2247 | 0.2239 | 0.1573 | 0.2112 |
20 | 0.2233 | 0.2223 | 0.2175 | 0.2171 | 0.2602 |
30 | 0.2422 | 0.2285 | 0.2224 | 0.2277 | 0.2907 |
40 | 0.2778 | 0.2369 | 0.2288 | 0.2380 | 0.3079 |
50 | 0.3155 | 0.2450 | 0.2349 | 0.2495 | 0.3237 |
60 | 0.3210 | 0.2487 | 0.2476 | 0.2627 | 0.3381 |