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