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How is knn different from k-means?
What is the trade-off between bias and variance?
Which are the two components of bayesian logic program?
Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?
What are the common ways to handle missing data in a dataset?
What do you understand by ilp?
What are the recommended systems?
Describe precision and recall?
What according to you, is more important between model accuracy and model performance?
Describe dimension reduction in machine learning.
Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.
Describe 'training set' and 'training test'.
What do you understand by the confusion matrix?
How is a decision tree pruned?
What do you mean by genetic programming?
