Rechtsinformatik

Decision Making Model Applied to Collegiate Courts

Aline Macohin

Cesar Antonio Serbena

Citation: Aline Macohin / Cesar Antonio Serbena, Decision Making Model Applied to Collegiate Courts, in: Jusletter IT 26 September 2019

This article presents a decision making model of collegiate courts based on logistic regression and decision tree methods to project votes of collegiate members. The model is applied at the level of individual votes and generates information about how different influences can affect the votes within the collegiate chambers. The variables identified as significant in the regression model were the Collegiate, type of defendant and President of Brazil. The percentage of success obtained by the decision tree in the test sample was 81.33% and the regression model percentage of success was 65.4%.

Table of contents

1. Introduction
- 1.1. Statistical Analysis
  - 1.1.1. Classification Models
  - 1.1.2. Regression
- 1.2. Decision-Making Models
2. Methodology
- 2.1. Dataset Acquisition
- 2.2. Decision-Making Model Development
  - 2.2.1. Selection of Variables
  - 2.2.2. Evaluation of the Models
- 2.3. Simulation Construction
3. Suggested Model
- 3.1. Attributes
- 3.2. Logistic Regression
- 3.3. Decision Tree
4. Simulation
- 4.1. Experiments and Analysis of Results
- 4.2. Variables
5. Results and Trends
6. Conclusion and Future Works
7. References