QUASIMODO
Home
Explorer
Search
Use Cases
Play Taboo
Generate Taboo Card
Codenames
Question Answering
Publications
Contributors
Quasimodo contains
88
result(s) for your request.
Subject
Predicate
Object
Modality
Polarity
Plausibility
Neighborhood Sigma
Local Sigma
Inspect
logistic regression
has_property
vs
POSITIVE
0.0011
0.0012
nan
logistic regression
has_property
related
POSITIVE
0.0047
0.0050
nan
logistic regression
be called
logistic
POSITIVE
0.4055
0.4303
1.0000
logistic regression
be
used to stories churn
POSITIVE
0.0004
0.0004
1.0000
logistic regression
be used
as a classifier
POSITIVE
0.9370
0.9942
1.0000
logistic regression
be better than
naive bays
POSITIVE
0.0041
0.0044
1.0000
logistic regression
differ from
linear regression
POSITIVE
0.0060
0.0064
1.0000
logistic regression
be classifier
linear
POSITIVE
0.8787
0.9324
1.0000
logistic regression
be considered
linear model
POSITIVE
0.0037
0.0039
1.0000
logistic regression
has_property
attribution
POSITIVE
0.2506
0.2659
1.0000
logistic regression
has_property
linear model
POSITIVE
0.3176
0.3370
1.0000
logistic regression
be used for
binary classification
only
POSITIVE
0.2509
0.2662
1.0000
logistic regression
has_property
linear classifier
POSITIVE
0.4905
0.5205
1.0000
logistic regression
be different from
linear regression
POSITIVE
0.2586
0.2744
1.0000
logistic regression
be used as
classifier
POSITIVE
0.0337
0.0358
1.0000
logistic regression
be better than
linear regression
POSITIVE
0.3234
0.3432
1.0000
logistic regression
be called
regression
TBC[logistic regression]
POSITIVE
0.4387
0.4655
1.0000
logistic regression
be better than
linear
POSITIVE
0.7235
0.7677
0.9833
logistic regression
has_property
convex
POSITIVE
0.6375
0.6764
0.9134
logistic regression
has_property
assumptions
POSITIVE
0.4004
0.4249
0.8680
Next facts