GitHub topics: logit-model

Repositories

jhelvy/logitr

Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R with "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations in R

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green-jade/2024Fall_Capstone_UPE

2024년 가을학기 연세대학교 도시공학종합설계

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Yoonyoung-Cho/Telecom_Customer_Secession_Prediction_2019

2019.12.18 개인프로젝트. 통신사 고객들의 이탈 예측

Language: R - Size: 943 KB - Last synced at: 9 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Valmir-unicap/PET-Pickcells

Projeto de Extensão Tecnológica (PET) - Equipe Gama

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piazzai/chess-variants

Analysis of Lichess variant games

Language: R - Size: 757 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

gkukish/ceoresearch

Researching the relationship between stock market performance and involuntary CEO dismissal.

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gkukish/Capstone

Researching the relationship between stock market performance and involuntary CEO dismissal.

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vaitybharati/Assignment-06-Logistic-Regression

Assignment-06-Logistic-Regression. Output variable -> y y -> Whether the client has subscribed a term deposit or not Binomial ("yes" or "no") Attribute information For bank dataset Input variables: # bank client data: 1 - age (numeric) 2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","student", "blue-collar","self-employed","retired","technician","services") 3 - marital : marital status (categorical: "married","divorced","single"; note: "divorced" means divorced or widowed) 4 - education (categorical: "unknown","secondary","primary","tertiary") 5 - default: has credit in default? (binary: "yes","no") 6 - balance: average yearly balance, in euros (numeric) 7 - housing: has housing loan? (binary: "yes","no") 8 - loan: has personal loan? (binary: "yes","no") # related with the last contact of the current campaign: 9 - contact: contact communication type (categorical: "unknown","telephone","cellular") 10 - day: last contact day of the month (numeric) 11 - month: last contact month of year (categorical: "jan", "feb", "mar", ..., "nov", "dec") 12 - duration: last contact duration, in seconds (numeric) # other attributes: 13 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact) 14 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 means client was not previously contacted) 15 - previous: number of contacts performed before this campaign and for this client (numeric) 16 - poutcome: outcome of the previous marketing campaign (categorical: "unknown","other","failure","success") Output variable (desired target): 17 - y - has the client subscribed a term deposit? (binary: "yes","no") 8. Missing Attribute Values: None

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mx-eyebrows/Categorical-Analysis

Final project for PHST 684 at the University of Louisville (Categorical Data Analysis)

Language: R - Size: 744 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

brendanlu/ranklogit

Logit Models for Sets of Ranked Items

Language: Python - Size: 248 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

salilrsharma/GAMSlogit

In this repository, a GAMS code is provided to estimate parameters of the logit model. We provide a code and sample data to solve for binary route choice model for truck drivers.

Language: GAMS - Size: 45.9 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0