🚀 AI Models Constructor with GUI

This repository contains a graphical interface tool for building and evaluating machine learning models. Using RandomForest, Gradient Boosting, and Linear Regression, you can train models for both regression and classification without writing a single line of code!

📌 Features

• 🎨 Graphical Interface: easy-to-use, no coding required
• 📊 Regression: RandomForestRegressor, GradientBoostingRegressor, LinearRegression
• 🏷 Classification: RandomForestClassifier, GradientBoostingClassifier
• 📂 Data Handling: load and split datasets into train/test
• 🏆 Metrics: MSE, MAE, R2, F1-score, Accuracy, ROC AUC
• 💾 Model Saving in pickle format
• 📈 Graph Generation for result analysis

📥 Installation

pip install -r requirements.txt

⚡ Quick Start

1. Prepare a CSV file with your dataset
2. Define the target variable
3. Run main.py, and the interface will guide you through model selection and training

🖥 Using the Interface

Simply launch main.py, and an intuitive GUI will open, allowing you to:

• Select the model type (regression or classification)
• Configure algorithm parameters
• Load dataset files
• Train the model and view key metrics
• Save the results

🛠 Main Files

• main.py — main script with GUI functionality
• regression.py — library with models and data processing functions

🖼 Demo / Screenshots

#Created by Foutx