In one of our previous articles, we discussed Support Vector Machine Regressor (SVR). Linear SVR is very similar to SVR. SVR uses the “rbf” kernel by default. Linear SVR uses a linear kernel. Also, linear SVR uses liblinear instead of libsvm. And, linear SVR provides...

What is the chained multioutput regressor? In a multioutput regression problem, there is more than one target variable. These target variables are continuous variables. Some machine learning algorithms like linear regression, KNN regression, or Decision Tree...

What is a direct multioutput regressor? In a multioutput regression problem, there is more than one target continuous variable. A machine learning model has to predict all the target variables based on the features. For example, a machine learning model can predict...

What is multioutput regression? In a regression problem, the target variable is continuous in nature. A machine learning model predicts the continuous target variable based on the features. In a multioutput regression problem, there is more than one target variable....

We can use the make_classification() function to create a dataset that can be used for a classification problem. The function returns two ndarrays. One contains all the features, and the other contains the target variable. We can use the following Python code to...