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Prediction of asymptomatic, symptomatic

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Predict the probability of asymptomatic, symptomatic with . Simply fill the fields and press the predict button.

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Deployment Date: 2026-10-06 13:45:41
References:
Performance and Training Settings:
Test Accuracy: 0.6190475821495056
Test Loss: 0.6007826924324036
Precision: 0.6196969696969696
Recall: 0.6194556451612903
F1 Score: 0.6189516129032258
AUC: 0.716733870967742
Per Class Precision: 0.6333333333333333,0.6060606060606061
Per Class Recall: 0.59375,0.6451612903225806
Per Class F1 Score: 0.6129032258064516,0.625
Per Class AUC: 0.716733870967742,0.716733870967742
Validation Accuracy: 0.6031745672225952
Validation Loss: 0.6848539113998413
Training Accuracy: 0.6908023357391357
Training Loss: 0.5930037498474121
Class Counts (n): 327, 310
Outcome: asymptomatic, symptomatic
Number of Epochs: 18
Initial Learning Rate: 0.0001
Batch Size: 32
Image Augmentation: Flip Horizontal

Confusion Matrix:

Confusion Matrix

Training and Validation Logs:

Training and Validation Logs


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