The Classification algorithm is a Supervised Learning technique that is used to identify the category of new observations on the basis of training data. In Classification, a program learns from the given dataset or observations and then classifies new observation into a number of classes or groups.
- Which all are classification algorithms in machine learning?
- What is classification algorithm in Python?
Which all are classification algorithms in machine learning?
In this article, we will discuss top 6 machine learning algorithms for classification problems, including: logistic regression, decision tree, random forest, support vector machine, k nearest neighbour and naive bayes.
What is classification algorithm in Python?
In the classification algorithm, the input data is labeled and a continuous output function (y) is associated with an input variable (x). Classification algorithms are mainly used to identify the category of any given data set and predict the output for the absolute data.