data mining 44

1. Discuss the importance of preprocessing the datasets to ensure better data quality for data mining techniques. Give an example from your own personal experience.

2. Discuss the advantages and disadvantages of using sampling to reduce the number of data objects that need to be displayed.

Would simple random sampling (without replacement) be a good approach to sampling? Why or why not?

3. Discuss the major issues in classification model overfitting. Give some examples to illustrate your points.

4. Compare different Ensemble methods with appropriate examples.

150 to 200 words each

 
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