GenetikaPlus/binary_classification_model_v3.1.5_Junction_folder10

Binary Classification Model

Evaluation Results

Average Precision: 0.71
ROC AUC: 0.67 **best threshold according to F1: 0.06

Visualizations

Precision-Recall Curve

ROC Curve

Output Files and Directories

• 📂 checkpoint-171/
• config.json
• model.safetensors
• preprocessor_config.json
• training_args.bin