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C4.5 Algorithm is a decision tree-based classification algorithm used to analyze data and make predictions based on given attributes. It is an improvement of ID3 (Iterative Dichotomiser 3) and can handle continuous attributes as well as missing values. C4.5 constructs a decision tree using entropy and information.

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🧠 Mental Health Prediction - C4.5 Algorithm

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**Mental Health Prediction - C4.5 Algorithm** is a decision tree-based classification system designed to analyze and predict mental health conditions using the C4.5 algorithm. This project aims to assist in early detection and assessment of mental health issues based on key symptoms and risk factors.

🌟 Features

  • 📊 Decision Tree Model for mental health prediction.
  • 🏥 Data-driven analysis for accurate diagnosis support.
  • 🔍 User-friendly interface for easy data input and prediction.
  • 📈 Performance metrics for model evaluation.

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C4.5 Algorithm is a decision tree-based classification algorithm used to analyze data and make predictions based on given attributes. It is an improvement of ID3 (Iterative Dichotomiser 3) and can handle continuous attributes as well as missing values. C4.5 constructs a decision tree using entropy and information.

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