Initializing...
Performance and Training Settings:
Test Accuracy: 0.6666666269302368
Test Loss: 0.5588294863700867
Precision: 0.6685714285714286
Recall: 0.6640711902113459
F1 Score: 0.6632996632996633
AUC: 0.775305895439377
Per Class Precision: 0.6571428571428571,0.68
Per Class Recall: 0.7419354838709677,0.5862068965517241
Per Class F1 Score: 0.6969696969696969,0.6296296296296295
Per Class AUC: 0.775305895439377,0.7753058954393771
Validation Accuracy: 0.6166666150093079
Validation Loss: 0.6790576577186584
Training Accuracy: 0.6837782859802246
Training Loss: 0.5770212411880493
Class Counts (n): 312, 295
Outcome: asymptomatic, symptomatic
Number of Epochs: 23
Initial Learning Rate: 0.0001
Batch Size: 32
Image Augmentation: Flip Horizontal
Confusion Matrix:
Training and Validation Logs:
Support this research. Web3 Wallet of the Author:
0x46024f5042319447aE489666F3BCB986bFaBEBb8
Copied to clipboard!
This machine learning model could be
downloaded
and retrained by adding new data
here
List of ML Models
Deploy Your Own ML Model
Don't have an ML model? Build it here
