Table 5 Ensemble outlier detection results for the TNBC dataset (mean values for the number of variables selected, MSE and misclassifications for the random strategies are presented)
From: Ensemble outlier detection and gene selection in triple-negative breast cancer data
TNBC original data | Random patients | Random variables | |||
|---|---|---|---|---|---|
LOGIT-EN | SPLS-DA | SGPLS | LOGIT-EN | ||
Variables selected | 107 | 2945 | 551 | 82 | 65 |
MSE | 0.020 | 0.025 | 0.084 | 0.032 | 0.035 |
Misclassifications | 16 | 29 | 23 | 35 | 41 |
Parameter (α) | 0.9 | 0.8 | 0.7 | 0.7 | 0.7 |
Parameter (L) | - | 4 | 4 | - | - |
Resampling number | - | 100 | 100 | ||
Influential observations | 24 | 40 | 37 | ||
Suspect (influential) observations | 2 | 6 | 6 | ||