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README.md

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+---
+pipeline_tag: image-classification
+tags:
+- medical
+---
+
+# Novel Approach 1
+
+## Stacked Classifier: RF + SVM + XGB
+
+metrics:
+- Accuracy: 0.9911734164070612
+- Balanced Accuracy: 0.9903422714760236
+- MCC: 0.990784932183338
+- ROC AUC Score: 0.999934898058849
+- F1 Score: 0.9911734164070612
+- Jaccard Score: 0.9825012866700978
+- Log Loss: 0.033553756349283356
+- Precision: 0.9911734164070612
+- Recall: 0.9911734164070612
+
+
+
+# Novel Approach 2
+
+## Stacked Classifier: RF + SVM + KNN + XGB
+
+metrics:
+- Accuracy: 0.9922118380062306
+- Balanced Accuracy: 0.9913200369813552
+- MCC: 0.9918690348004674
+- ROC AUC Score: 0.9999193482927975
+- F1 Score: 0.9922118380062306
+- Jaccard Score: 0.9845440494590417
+- Log Loss: 0.03136301122428542
+- Precision: 0.9922118380062306
+- Recall: 0.9922118380062306
+