What are the classification algorithms?

LogisticRegression, NaiveBayes, K-NearestNeighbors, etc.

1. Logistic Regression: This is an algorithm used to predict binary outcomes, such as Yes/No, Pass/Fail, Alive/Dead, etc. Logistic regression is used to predict the target variable by using a logistic function to map the results of linear regression into the range [0, 1].

2. Naive Bayes (NaiveBayes): This is a classification algorithm based on Bayes' theorem, assuming that all features are independent. The Naive Bayes algorithm can handle multi-classification problems and is computationally fast.

3. Nearest Neighbors (K-NearestNeighbors): This is a distance-based classification algorithm that finds the k nearest neighbors of a new observation and then predicts new ones based on the categories of these neighbors. The category of the observation.