Classifier Algorithm
A classifier algorithm is a type of machine learning algorithm that is used to classify data into different categories or classes based on its features. It is a supervised learning technique that learns from labeled data to predict the class labels of new, unseen data. The classifier algorithm uses statistical methods to identify patterns in the data and create a model that can be used to classify new data. Common types of classifier algorithms include decision trees, logistic regression, support vector machines, and naive Bayes classifiers.
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