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Summary
Summary
Overview
Overview
The estimated logit model describes a non-linear regression of which the goal is to perform a forecast where the variable we want to predict is either 0 or 1 (binary). The model uses a logistic probability function to determine the relationship between the dependent and the independent variables. The difference in accuracy between this logit model and a linear probability model is shown in the graphs below.
Features
Features
Additional Information
Additional Information
Dependencies
Code Language
Visual Basic
Runtime
Windows Legacy (.Net Framework 4.6.1)
License & Privacy
Apache
Privacy Terms
Technical
Version
2.0.2aUpdated
11 May 2020Works with
Tested with UiPath Studio 2018.2.3
Certification
Silver Certified
Tags
ciphix
machine-learning
cognitive capabilities
statistics accord
framework
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