| 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 |
|
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|
|
|
|
|
| prob |
Probabilities can be predicted |
X |
|
X |
X |
X |
| se |
Standard errors can be predicted |
|
X |
|
|
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|
|
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| oneclass |
one-class classification problems |
X |
|
|
|
|
| twoclass |
one-class classification problems |
X |
|
|
|
|
| multiclass |
one-class classification problems |
X |
|
|
|
|
| class.weights |
Class weights |
X |
|
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|
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| rcens |
Right censored data |
|
|
X |
|
|
| lcens |
Left censored data |
|
|
X |
|
|
| icens |
Interval censored data |
|
|
X |
|
|