Upload outputs/leaderboard.csv
Browse files- outputs/leaderboard.csv +4 -0
outputs/leaderboard.csv
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"rank","model_name","model_type","feature_type","split","training_curves","model_path","model_size_mb","avg_inference_ms","accuracy","precision","recall","f1","balanced_accuracy","roc_auc","specificity","sensitivity","model_key"
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"1","mobilenet_v3","deep_learning","","test","/workspace/outputs/histories/mobilenet_v3_history.csv","/workspace/models/mobilenet_v3.pt","5.929231643676758","11.336611425000834","0.95","1.0","0.9368421052631579","0.967391304347826","0.968421052631579","0.9831578947368421","1.0","0.9368421052631579","mobilenet_v3"
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"2","lbp_svm","classical","lbp","test","N/A","/workspace/models/lbp_svm.joblib","0.05655670166015625","24.608508274999014","0.8916666666666667","0.9659090909090909","0.8947368421052632","0.9289617486338798","0.8873684210526316","0.9393684210526315","0.88","0.8947368421052632",""
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"3","xception","deep_learning","","test","/workspace/outputs/histories/xception_history.csv","/workspace/models/xception.pt","79.68564033508301","11.516991300000731","0.8833333333333333","0.9655172413793104","0.8842105263157894","0.9230769230769231","0.8821052631578947","0.9616842105263157","0.88","0.8842105263157894","xception"
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