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Quasimodo contains
88
result(s) for your request.
Subject
Predicate
Object
Modality
Polarity
Plausibility
Neighborhood Sigma
Local Sigma
Inspect
logistic regression
be used
as a classifier
POSITIVE
0.9370
0.9942
1.0000
logistic regression
be classifier
linear
POSITIVE
0.8787
0.9324
1.0000
logistic regression
be better than
linear
POSITIVE
0.7235
0.7677
0.9833
logistic regression
has_manner
better
POSITIVE
0.6749
0.7162
0.6749
logistic regression
has_movement
linear
POSITIVE
0.6588
0.6990
0.6588
logistic regression
has_property
convex
POSITIVE
0.6375
0.6764
0.9134
logistic regression
has_property
are important
POSITIVE
0.6365
0.6754
0.7093
logistic regression
has_property
able
POSITIVE
0.6087
0.6459
0.6087
logistic regression
has_property
appropriate
POSITIVE
0.6060
0.6430
0.6060
logistic regression
handle
categorical variables
POSITIVE
0.5470
0.5804
0.8007
logistic regression
has_movement
ahead
POSITIVE
0.5380
0.5709
0.5380
logistic regression
has_property
classification
POSITIVE
0.5358
0.5685
0.6822
logistic regression
has_property
accurate
POSITIVE
0.5068
0.5377
0.5068
logistic regression
has_property
linear classifier
POSITIVE
0.4905
0.5205
1.0000
logistic regression
has_property
agile important
POSITIVE
0.4803
0.5097
0.5565
logistic regression
has_property
abstract
POSITIVE
0.4626
0.4909
0.4626
logistic regression
has_property
available
POSITIVE
0.4461
0.4733
0.4461
logistic regression
be called
regression
TBC[logistic regression]
POSITIVE
0.4387
0.4655
1.0000
logistic regression
has_property
business
POSITIVE
0.4344
0.4610
0.4344
logistic regression
has_property
ajax
POSITIVE
0.4147
0.4401
0.4147
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