Decision-Tree Visualization
Evaluation of the Trained Dataset
Test Dataset Evaluation After Hyperparameters Tuning
Project Information
- Title: Development of University Admission Prediction System
- Category: Machine Learning
- Client: Mr. Adebisi Akanji Sodiq
- Project Date: 10 June, 2018
- Project URL: Admission Prediction System
Project Overview
This project involves developing a predictive system to assess the likelihood of a student being admitted into a university based on various factors. Utilizing machine learning algorithms, the system was designed to process historical data and provide a probability score for each applicant.
Key Features
- Data pre-processing and feature selection.
- Model training using decision trees and hyperparameter tuning.
- Comprehensive evaluation of model accuracy on test datasets.