Podcast
Questions and Answers
What task involves learning a target function that maps attribute sets to predefined class labels?
What task involves learning a target function that maps attribute sets to predefined class labels?
- Association
- Regression
- Clustering
- Classification (correct)
Which of the following is an example of a classification task?
Which of the following is an example of a classification task?
- Clustering customer preferences
- Detecting fraudulent credit card transactions (correct)
- Sorting unlabeled data points
- Predicting stock prices
What should a learning algorithm ideally produce in a supervised learning task?
What should a learning algorithm ideally produce in a supervised learning task?
- Class labels for new instances (correct)
- Model evaluation metrics
- Feature importance scores
- Data visualization plots
In the context of model evaluation, what is a common metric used to assess the performance of classification models?
In the context of model evaluation, what is a common metric used to assess the performance of classification models?
What technique involves constructing a tree-like structure to represent decisions and possible outcomes for a classification task?
What technique involves constructing a tree-like structure to represent decisions and possible outcomes for a classification task?
Which of the following best describes descriptive modeling in the context of classification tasks?
Which of the following best describes descriptive modeling in the context of classification tasks?
What is the main purpose of predictive modeling techniques in data mining?
What is the main purpose of predictive modeling techniques in data mining?
Which of the following is NOT one of the classification techniques mentioned in the text?
Which of the following is NOT one of the classification techniques mentioned in the text?
What is the purpose of computing the Gini Index when dealing with continuous attributes in a decision tree?
What is the purpose of computing the Gini Index when dealing with continuous attributes in a decision tree?
What is the main issue with the simple method of computing the Gini Index for each possible splitting value of a continuous attribute?
What is the main issue with the simple method of computing the Gini Index for each possible splitting value of a continuous attribute?
Which of the following is a key characteristic of the classification techniques mentioned in the text?
Which of the following is a key characteristic of the classification techniques mentioned in the text?
What is the main purpose of evaluating classification models in data mining?
What is the main purpose of evaluating classification models in data mining?
What is the purpose of a confusion matrix in evaluating a classification model?
What is the purpose of a confusion matrix in evaluating a classification model?
Why can accuracy be a misleading metric for evaluating classification models in imbalanced datasets?
Why can accuracy be a misleading metric for evaluating classification models in imbalanced datasets?
What is the purpose of a cost matrix in classification?
What is the purpose of a cost matrix in classification?
Which of the following metrics is biased towards both true positives and false positives?
Which of the following metrics is biased towards both true positives and false positives?
In the context of decision trees, what is the purpose of calculating the entropy measure?
In the context of decision trees, what is the purpose of calculating the entropy measure?
Which of the following techniques is used to estimate the performance of a model on unseen data?
Which of the following techniques is used to estimate the performance of a model on unseen data?
What is the purpose of stratified sampling in the context of model evaluation?
What is the purpose of stratified sampling in the context of model evaluation?
In the context of supervised learning, what is the purpose of the training set?
In the context of supervised learning, what is the purpose of the training set?
Which of the following is a technique used to handle class imbalance in datasets?
Which of the following is a technique used to handle class imbalance in datasets?
What is the purpose of the F-measure in evaluating classification models?
What is the purpose of the F-measure in evaluating classification models?
