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