Consider the following statements A. C-Fuzzy means clustering is a supervised…
2023
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:
- A.
A and B
- B.
B and C
- C.
C and D
- D.
D and A
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Correct answer: B
A. C-Fuzzy means clustering is a supervised method of learning
False
Fuzzy C-Means clustering is an unsupervised learning algorithm (no labeled data required).
B. PCA is used for dimension reduction
True
Principal Component Analysis reduces number of features while preserving variance.
C. Apriori is not a supervised technique
✔ True
Apriori is an association rule mining algorithm → unsupervised learning.
D. Model tuned too much to training data and fails to generalize is called underfitting
False
That is overfitting, not underfitting.
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