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 ...

As a result, we began with a large dataset in this study and used four machine learning classifiers: Support Vector Machine (SVM), Decision Tree, Naïve Bayes, and Random Forest. The random forest ...

Lastly, new features and functionalities have been introduced throughout the classifier workflow, with new classifier pipeline capability, queueing of training jobs, and a colorblind-friendly default ...

#creates a custom background based off of the plant masks created in the original mask creation background_mask = 255 - full_plant #colors the masks created by the naive_bayes_classifier colored_img = ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...

The demo echoes the predictor values and the target class labels. A naive Bayes classifier is created and then used to make predictions for the 20 data items. The accuracy of the trained model is 80 ...