What is the main purpose of using predictive models?
The predictive modelling process may involve to identify the most important variables for making predictions.
Model Training
Which of the following is a key step in building predictive models?
In the predictive modelling process, the training data is used to the model.
Gradient Boosting
What is the first step in the predictive modelling process?
Deployment
Overfitting is a common issue in predictive modelling, where the model performs well on the training data but poorly on data.
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 .
In ensemble methods, multiple models are combined to improve the overall predictive .
K-Nearest Neighbors
Feature Selection
Decision Tree
One way to evaluate the performance of a predictive model is to calculate the of its predictions.
What does the term 'overfitting' refer to in predictive modelling?
Which type of predictive model is used for classification problems?
Model Tuning
Random Forest
Naive Bayes is a probabilistic classifier based on the application of .
