uurcelikk / classification_metrics

Classification Metrics

This repository contains Python scripts for calculating common classification metrics. These metrics are useful for evaluating the performance of machine learning models, especially in classification tasks.

Metrics Included

1. F1, Recall, Precision Calculation

   • File: F1_recall_precision.py
   • This script calculates F1 score, recall, and precision for a given set of predictions and ground truth labels.

2. Intersection over Union (IoU) and Dice Coefficient Calculation

   • File: iou_dice.py
   • This script computes Intersection over Union (IoU) and Dice Coefficient for segmentation tasks.

Contributing

Contributions are welcome! If you have additional classification metrics or improvements to existing scripts, feel free to open a pull request.