This paper investigates the application of classification models within the telecommunications industry, focusing on K-Nearest Neighbors (KNN), Random Forest (RF), and Naive Bayes (NB). Various ...

The study focuses on multiclass classification (11 classes) and employs 10-fold cross-validation to enhance model robustness and mitigate overfitting. Notably, the research emphasizes the significance ...

Biosignals like EDA and PPG could power next generation of fake news detection One striking observation was that more complex models like CNNs underperformed relative to simpler models. CNNs were ...

KNN classifier operates by finding the k nearest neighbors to a given data point, and it takes the majority vote to classify the data point. The value of k is crucial, and one needs to choose it ...

How the “opinionated” chatbots destroyed AI’s potential, and how we can fix it ...

Welcome to Learn with Jay – your go-to channel for mastering new skills and boosting your knowledge! Whether it’s personal development, professional growth, or practical tips, Jay’s got you ...

The early detection of type 2 diabetes is a major challenge for healthcare professionals, as a late diagnosis can lead to severe and difficult-to-manage complications. In this context, this paper ...

5. Overfitting (Image credit: Future) If you’ve ever used a chatbot only to get a non-answer that barely addresses your query, you’re experiencing a common pitfall of chatbots known as ...