Mal-Where? How We Boosted Malware Detection to XG-ceptional Levels | HackerNoonThe malware detection system reached an accuracy of 99.99% on binary classification.
The Role of the Confusion Matrix in Addressing Imbalanced DatasetsConfusion matrices are essential tools for evaluating classification algorithms, especially when dealing with imbalanced datasets.
Mal-Where? How We Boosted Malware Detection to XG-ceptional Levels | HackerNoonThe malware detection system reached an accuracy of 99.99% on binary classification.
The Role of the Confusion Matrix in Addressing Imbalanced DatasetsConfusion matrices are essential tools for evaluating classification algorithms, especially when dealing with imbalanced datasets.