Two labeled categories, liver cirrhosis and healthy liver, define the dataset's target classes. These data points facilitate binary classification for identifying chronic liver conditions.
Use Cases
- Train a binary classifier to distinguish between 'liver cirrhosis' and 'healthy liver' labels
- Evaluate model sensitivity for 'liver cirrhosis' detection
- Analyze prediction errors for the 'healthy liver' class to improve model specificity
Strengths
- Includes 'liver cirrhosis' as a categorical label
- Includes 'healthy liver' as a categorical label
- Supports binary classification for liver health status