classifier primary subject, 78 assertions
There are no subgroups or aspects for classifier in Ascent++.
CapableOf 29
map an input attribute … 0.50
make mistake 0.48
make prediction 0.48
determine 0.45
do good job 0.44
use feature 0.43
compose packet 0.41
assign label 0.40
use logistic regression 0.36
filtrate material 0.35
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HasA 3
the list of properties 0.25
low installation cost 0.16
high degree of automati… 0.16
HasProperty 14
good 0.60
accurate 0.54
correct 0.51
consistent 0.41
robust 0.40
successful 0.33
useless 0.32
linear 0.31
uncertain 0.28
100% accurate 0.28
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ReceivesAction 32
built 0.72
trained 0.67
employed 0.65
selected 0.53
trained on datum 0.49
evaluated 0.48
arranged 0.41
based on svm 0.39
described in more detail 0.35
based on feature 0.33
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