numeric |
numeric features can be handeled |
X |
X |
X |
X |
X |
factor |
numeric features |
X |
X |
X |
X |
X |
ordered |
ordered factor |
X |
X |
X |
X |
X |
missings |
missing values in the features |
X |
X |
X |
X |
X |
|
|
|
|
|
|
|
prob |
Probabilities can be predicted |
X |
|
X |
X |
X |
se |
Standard errors can be predicted |
|
X |
|
|
|
|
|
|
|
|
|
|
oneclass |
one-class classification problems |
X |
|
|
|
|
twoclass |
one-class classification problems |
X |
|
|
|
|
multiclass |
one-class classification problems |
X |
|
|
|
|
class.weights |
Class weights |
X |
|
|
|
|
|
|
|
|
|
|
|
rcens |
Right censored data |
|
|
X |
|
|
lcens |
Left censored data |
|
|
X |
|
|
icens |
Interval censored data |
|
|
X |
|
|