Given a dataset with multiple features and a target column, implement a Gaussian Naive Bayes classifier that calculates prior probabilities and likelihood using Gaussian assumptions. The classifier ...

This study reveals that female moths utilize ultrasonic sounds emitted by dehydrated plants to inform their oviposition decisions, highlighting sound as a potential sensory cue for optimal host plant ...

AdaBoostModel.m Trains an AdaBoost ensemble classifier optimized for imbalanced datasets. GaussianModel.m Implements Gaussian Naive Bayes as a baseline model. LogitBoostModel.m Trains a LogitBoost ...

The soft voice helped. So did the weak chin and gawky height. Throw in the medical training in London, as well as the marriage to an urbane local, and it is small wonder that people were disarmed ...

Snap It/Pixabay.com (CC0-PD) Naive diversification is best described as a rough and, more or less, instinctive common-sense division of a portfolio, without bothering with sophisticated ...

Diverse classifiers, including Bernoulli Naïve Bayes, Random Subspace Boost, Quadratic Discriminant, and Gradient Boosting, were employed to classify test X-rays. The performance of these classifiers ...

The training, validation, and test sets are split according to a ratio of 8:1:1. In details, in the three way classification task, among the 2,284 samples, 1,827, 228, and 229 samples are divided into ...