Supervised learning
Supervised learning is a type of machine learning where models are trained on labeled data to make predictions or classify new data. It involves using input-output pairs to guide the learning process.
classification
Naive Bayes classifier
The Naive Bayes classifier is a probabilistic machine learning algorithm used for classification tasks based on Bayes’ theorem, assuming independence among predictors.
Linear discriminant analysis (LDA)
Linear Discriminant Analysis (LDA) is a statistical method for classifying data by finding a linear combination of features that best separates two or more classes.
K-nearest neighbors algorithm (KNN)
The K-nearest neighbors algorithm (KNN) is a supervised machine learning algorithm used for classification and regression tasks. It operates by identifying the ‘k’ closest training examples to a query point.