K-means Model

This model was trained using K-Means as part of the AI AutoML Platform.

Features

• Automatic preprocessing
• Missing value handling
• Label encoding
• Feature scaling
• Hyperparameter tuning
• Accuracy optimization

Model Type

K-means

Library

scikit-learn

Use Cases

• Customer churn prediction
• Medical diagnosis
• Binary classification
• Multi-class classification

Metrics

• Accuracy: XX%
• Precision: XX%
• Recall: XX%
• F1 Score: XX%

Developer

Created by Asma Abid