High-performance Machine Learning (ML) models are indispensable in cybersecurity due to the need for real-time threat detection, scalability in handling large datasets, and the ability to recognize ...

This paper introduces an innovative methodology aimed at improving the performance and interpretability of ML models in binary classification, with a distinct emphasis on network intrusion detection.

Plot Generator Confusion Matrix Utilize the plot_confusion_matrix function to effortlessly generate a confusion matrix for your model's predictions. Designed specifically for Keras image generators, ...

In trademark disputes between junior and senior users of shared or similar marks, the reverse confusion theory is emerging as a helpful argument for Indian rights holders fighting possible infringers ...

This Article Is Based On The Research Paper 'Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels'. All Credit For This Research Goes To The Researchers Of This ...

The confusion matrix, a ubiquitous visualization for helping people evaluate machine learning models, is a tabular layout that compares predicted class labels against actual class labels over all data ...

In machine learning, optimization of the results produced by models plays an important role in obtaining better results. We normally get these results in tabular form and optimizing models using such ...