Some optimization algorithms also adapt the learning rates of the model parameters by looking at the gradient history (AdaGrad, RMSProp, and Adam). Classification algorithms can find solutions to ...

AMGWO, a new feature selection method inspired by grey wolves, uses adaptive strategies to enhance machine learning models.

The optimization algorithm, and its parameters ... Making a Prediction In most practical scenarios, the whole point of building a binary classification model is to use it to make predictions: inpts = ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

We use the Multinomial Naïve Bayes model, a probabilistic algorithm ideal for text classification, to fit our training vectors to the values of the target variable. The Multinomial Naïve Bayes ...