Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
A modern, interactive web application for training and using Naive Bayes classifiers with beautiful visualizations. . ├── app.py # Flask application ├── model.py # Naive Bayes implementation ├── ...
1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...
Former Vice President Kamala Harris predicted a lot about Donald Trump’s second presidential term, but she admitted on Thursday night that one thing she didn’t see coming was the amount of ...
A suite of ML models—Logistic Regression, Random Forest, KNN, SVM, Gaussian Naive Bayes—was used to predict patient readmission. (1) Rasoul Samani, School of Electrical and Computer Engineering, ...
ABSTRACT: Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral ...
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min A pair of new owners have ...
The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...
Using the Sklearn classifiers: Naive Bayes, Random Forest, Adaboost, Gradient Boost, Logistic Regression and Decision Tree good success rates are observed in a very simple manner. In this work ...
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