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Ciphix - Simple Logit Model

Ciphix - Simple Logit Model

by Ciphix

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Activity

Downloads

3.1k

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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)

Publisher

Ciphix

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Trusted Source

License & Privacy

Apache

Privacy Terms

Technical

Version

2.0.2a

Updated

May 11, 2020

Works with

Studio: 21.10 - 22.10

Certification

Silver Certified

Support

UiPath Community Support

Resources

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