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Asthma Disease Detection/Dataset/asthma_disease_data.csv
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Asthma Disease Detection/Results/confusion_matrix_Gradient Boosting.png
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Asthma Disease Detection/Results/confusion_matrix_K-Nearest Neighbors.png
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Asthma Disease Detection/Results/confusion_matrix_Logistic Regression.png
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Asthma Disease Detection/Results/confusion_matrix_Stacking Classifier.png
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Asthma Disease Detection/Results/confusion_matrix_Support Vector Machine.png
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Original file line number | Diff line number | Diff line change |
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Model,Accuracy,ROC AUC | ||
Logistic Regression,0.9519832985386222,0.5225972540045767 | ||
Random Forest,0.9519832985386222,0.3812452326468344 | ||
Gradient Boosting,0.9498956158663883,0.4405034324942792 | ||
Support Vector Machine,0.9519832985386222,0.5087719298245613 | ||
XGBoost,0.9519832985386222,0.4032227307398932 | ||
K-Nearest Neighbors,0.9519832985386222,0.5416666666666666 | ||
AdaBoost,0.9519832985386222,0.4804538520213577 | ||
Extra Trees,0.9519832985386222,0.4488939740655987 | ||
Bagging,0.9478079331941545,0.4977116704805492 | ||
CatBoost,0.9519832985386222,0.4680587337909992 | ||
LightGBM,0.9519832985386222,0.4597635392829901 | ||
Naive Bayes,0.9519832985386222,0.5242181540808543 | ||
Decision Tree,0.8747390396659708,0.5007151029748284 | ||
Stacking Classifier,0.9519832985386222,0.49890350877192985 |