Lower Decision boundary leads to False Positives during classification
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please clear your question dear
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level classification method for low false positive classification.
- Level 1; in level 1 the decision boundary is made with the help of SVM classifier.
- Level 2; in level 2 the sensitive area is defined around the boundary of decision.
The sensitive area is then again analyzed and checked by a second classifier to detect any false options.
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