Create your first automation in just a few minutes.Try Studio Web →
by Ciphix
0
Activity
3.1k
Summary
Summary
This machine learning related activity is used to estimate a model for a binary variable and uses that model to make a one point ahead forecast for the binary variable.
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
This activity enables processes to make predictions for discrete variables, thus incorporating machine learning in the process. The activity can be used to alleviate certain human decisions within a process which can benefit a multitude of automation projects.
Additional Information
Additional Information
Dependencies
Accord Framework
Code Language
Visual Basic
Runtime
Windows Legacy (.Net Framework 4.6.1)
License & Privacy
Apache
Privacy Terms
Technical
Version
2.0.2aUpdated
May 11, 2020Works with
Studio: 21.10 - 22.10
Certification
Silver Certified
Support
UiPath Community Support
Resources