classifier
→
CapableOf
→
map an input attribute vector
|
0.50
|
|
classifier
→
CapableOf
→
make mistake
|
0.48
|
|
classifier
→
CapableOf
→
make prediction
|
0.48
|
|
classifier
→
CapableOf
→
determine
|
0.45
|
|
classifier
→
CapableOf
→
do good job
|
0.44
|
|
classifier
→
CapableOf
→
use feature
|
0.43
|
|
classifier
→
CapableOf
→
compose packet
|
0.41
|
|
classifier
→
CapableOf
→
assign label
|
0.40
|
|
classifier
→
CapableOf
→
use logistic regression
|
0.36
|
|
classifier
→
CapableOf
→
filtrate material
|
0.35
|
|
classifier
→
CapableOf
→
receive partial input
|
0.35
|
|
classifier
→
CapableOf
→
perform the classification
|
0.31
|
|
classifier
→
CapableOf
→
map input information
|
0.28
|
|
classifier
→
CapableOf
→
output confidence
|
0.28
|
|
classifier
→
CapableOf
→
produce output
|
0.28
|
|
classifier
→
CapableOf
→
assign probability
|
0.25
|
|
classifier
→
CapableOf
→
change the ontology
|
0.25
|
|
classifier
→
CapableOf
→
classify pdu
|
0.25
|
|
classifier
→
CapableOf
→
function as pronoun
|
0.25
|
|
classifier
→
CapableOf
→
infer new classes
|
0.25
|
|
classifier
→
CapableOf
→
learn to discriminate event
|
0.25
|
|
classifier
→
CapableOf
→
maintain a prediction of expect…
|
0.25
|
|
classifier
→
CapableOf
→
predict sepsis
|
0.25
|
|
classifier
→
CapableOf
→
reflect similarity
|
0.25
|
|
classifier
→
CapableOf
→
report positive prediction
|
0.25
|
|
classifier
→
CapableOf
→
show moderate but statistically…
|
0.25
|
|
classifier
→
CapableOf
→
use single feature
|
0.25
|
|
classifier
→
CapableOf
→
use the traffic data
|
0.25
|
|
classifier
→
CapableOf
→
achieve high accuracy
|
0.16
|
|