MBA Admission Dataset, Class 2025
Synthetic data based on real stats, regression, classification, decision tree
@kaggle.taweilo_mba_admission_dataset
About this Dataset
MBA Admission Dataset, Class 2025
1. Data Source:
Synthetic data generated from the Wharton Class of 2025's statistics.
2. Meta Data:
- application_id: Unique identifier for each application
- gender: Applicant's gender (Male, Female)
- international: International student (TRUE/FALSE)
- gpa: Grade Point Average of the applicant (on 4.0 scale)
- major: Undergraduate major (Business, STEM, Humanities)
- race: Racial background of the applicant (e.g., White, Black, Asian, Hispanic, Other / null: international student)
- gmat: GMAT score of the applicant (800 points)
- work_exp: Number of years of work experience (Year)
- work_industry: Industry of the applicant's previous work experience (e.g., Consulting, Finance, Technology, etc.)
- admission: Admission status (Admit, Waitlist, Null: Deny)
3. Usage:
- Exploratory Data Analysis (EDA): Understand the distributions, relationships, and patterns within the data.
- Classification: Predict the admission status based on other features.