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1. What is data leakage in the context of model training?
A) Loss of data during the splitting process
B) When data from outside the training dataset is accidentally included in the training process
C) A situation where the test data is not available
D) Leakage of sensitive information due to poor data handling practices
2. Which method is NOT traditionally used for collecting data?
A) Using SQL to fetch data from a data warehouse
B) Using Python APIs for external data
C) Scraping data from a webpage
D) Predicting future trends with machine learning models
3. In classification models, which of the following metrics is NOT directly derived from the confusion matrix?
A) Precision
B) F1-score
C) Recall
D) Mean Absolute Error (MAE)
4. Which of the following is a common issue identified during the preprocessing of data?
A) Presence of missing values
B) Overly detailed documentation
C) Excessively large file names
D) Aesthetically unpleasing charts
5. In unsupervised learning, which algorithm is best suited for grouping customers based on their purchase history to target marketing efforts more effectively?
A) Support Vector Machines
B) K-Means Clustering
C) Linear Regression
D) Decision Trees
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: B |
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