What is the main purpose of using predictive models?
Support Vector Machine
Decision Tree
Random forests are an ensemble learning method that operates by constructing a multitude of decision trees at training time and outputting the mode of the classes as the .
Model Evaluation
The goal of predictive modelling is to create a that can make accurate predictions based on input data.
Neural Network
Support Vector Machines find the hyperplane that best separates the data into different .
What is the purpose of feature selection in predictive modelling?
Predictive Modelling Process
Which evaluation metric is commonly used to measure the performance of predictive models?
What does the term 'overfitting' refer to in predictive modelling?
What is a predictive model?
In ensemble methods, multiple models are combined to improve the overall predictive .
Decision trees use a series of if-else statements to make .
Feature Selection
Why is it important to split the data into training and testing sets in predictive modelling?
In classification models, the output variable is a category or .
Logistic regression is used when the dependent variable is .
The predictive modelling process may involve to identify the most important variables for making predictions.
