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Previous Year Question (PYQs)



Consider the following statements

A. C-Fuzzy means clustering is a supervised method of learning

B. PCA is used for dimension reduction

C. Apriori is not a supervised technique

D. When a machine learning model becomes so specially tuned to its exact input data that it fails to generalize to other similar data it is called underfitting

Choose the correct answer from the options given below:





Solution

A is false because fuzzy C-means clustering is an unsupervised learning method.


B is true because PCA is used for dimensionality reduction.


C is true because Apriori is an unsupervised association rule mining technique.

D is false because this condition is called overfitting, not underfitting.



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