APPLICATION OF SUPERVISED LEARNING
CLASSIFICATION IN MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Logistic Regression
|
|
|
Linear Regression
|
|
|
Decision Tree Classifier
|
|
|
KNN Classifier
|
Detailed explanation-1: -Linear Regression is an ML algorithm used for supervised learning. Linear regression performs the task to predict a dependent variable(target) based on the given independent variable(s).
Detailed explanation-2: -Linear Regression is an algorithm that belongs to supervised Machine Learning. It tries to apply relations that will predict the outcome of an event based on the independent variable data points. The relation is usually a straight line that best fits the different data points as close as possible.
Detailed explanation-3: -Decision Tree algorithm in machine learning is one of the most popular algorithm in use today; this is a supervised learning algorithm that is used for classifying problems. It works well in classifying both categorical and continuous dependent variables.