In the Dynamic Classifier Selection (DCS), we provide a list of machine learning models. Each model is trained with the training data. When a new prediction needs to be made, we select the model that can make the best prediction. We can take the following two...

Dynamic Classifier Selection (DCS) involves multiple machine learning models to solve a classification problem. We provide a list of models that are trained with the training data. When we provide new data on which prediction needs to be made, the Dynamic Classifier...

In one of our previous articles, we discussed Support Vector Machine Classifiers (SVC). Linear Support Vector Machine Classifier or linear SVC is very similar to SVC. SVC uses the rbf kernel by default. A linear SVC uses a linear kernel. It also uses liblinear instead...

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...