Table 1.
Supervised classifiers | Handles missing values |
---|---|
Random forests | ✓ |
Classification tree | ✓ |
Boost ensembles | ✓ |
Neural networks | — |
SVM | — |
LSSVM | — |
k-NN | — |
dLDA | — |
| |
Semisupervised classifiers | |
| |
LDS | — |
SMIR | — |
S4VM | — |
Supervised classifiers | Handles missing values |
---|---|
Random forests | ✓ |
Classification tree | ✓ |
Boost ensembles | ✓ |
Neural networks | — |
SVM | — |
LSSVM | — |
k-NN | — |
dLDA | — |
| |
Semisupervised classifiers | |
| |
LDS | — |
SMIR | — |
S4VM | — |