Machine Learning basics MCQ Quiz (Multiple Choice Questions And Answers)
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- PCA
- Decision Tree
- Linear Regression
- Naive Bayesian
22. Suppose we would like to perform clustering on spatial data such as the geometrical locations of houses. We wish to produce clusters of many different sizes and shapes. Which of the following methods is the most appropriate?
- Decision Trees
- Density-based clustering
- Model-based clustering
- K-means clustering
- To assess the predictive performance of the models
- To judge how the trained model performs outside the sample on test data
- both 1 and 2
- Drop missing rows or columns
- Replace missing values with mean/median/mode
- Assign a unique category to missing values
- All of the above -
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