Predictive Data Mining: Classification Tasks

What is the primary goal of predictive modeling?

• To reduce the number of variables in a dataset

• To classify data into multiple categories

• To predict future observations of an unknown outcome variable

• To create visual representations of data

Which method is used to evaluate the performance of a classification model?

• Data sampling

• Data preparation

• Data partitioning

• Performance measures

What does k-fold cross-validation help to reduce?

• Overfitting of models

• The size of the dataset

• The complexity of the model

• The number of features

In the context of classification, what does the term 'sensitivity' refer to?

• The ability to correctly identify Class 0 observations

• The likelihood of misclassifying observations

• The proportion of actual Class 1 observations correctly identified

• The overall error rate of the model

What is the purpose of regularization in classification methods?

• To improve data visualization

• To enhance the model's interpretability

• To avoid overfitting

• To increase the model complexity

Which of the following is a characteristic of logistic regression?

• It requires no training data

• It is a type of unsupervised learning

• It uses a linear function to estimate probabilities

• It predicts continuous outcome variables

What does a confusion matrix display?

• The relationship between input features

• The model's correct and incorrect classifications

• The overall performance of the model

• The training and validation sets

In k-nearest neighbors (k-NN), what does the parameter 'k' represent?

• The size of the training set

• The number of nearest neighbors considered

• The threshold for classification

• The number of features used

What is a leaf node in a classification tree?

• A node that has been split further

• A node that contains observations with zero impurity

• A node that contains multiple input variables

• A node that is the root of the tree

What does the process of pruning a classification tree aim to achieve?

• Add more branches to the tree

• Reduce the size of the tree for better predictive accuracy

• Eliminate all input variables

• Increase the number of leaf nodes