Evaluation

Input	Output
Suppose you have trained an SVM classifier with a Gaussian kernel, and it learned the following decision boundary on the training set:<image 1>You suspect that the SVM is underfitting your dataset. Should you try increasing or decreasing C? Increasing or decreasing $\sigma^2$ ? (A) It would be reasonable to try decreasing C. It would also be reasonable to try increasing $\sigma^2$ . (B) It would be reasonable to try decreasing C. It would also be reasonable to try decreasing $\sigma^2$ . (C) It would be reasonable to try increasing C. It would also be reasonable to try decreasing $\sigma^2$ . (D) It would be reasonable to try increasing C. It would also be reasonable to try increasing $\sigma^2$ . Answer with the option's letter from the given choices directly. No punctuation.	Google: Gemini Pro Vision 1.0 mmmu / Computer_SciencePublic A Expected Answer: C Difficulty: Medium Subfield: Artificial Intelligence

Input

Output

Suppose you have trained an SVM classifier with a Gaussian kernel, and it learned the following decision boundary on the training set:<image 1>You suspect that the SVM is underfitting your dataset. Should you try increasing or decreasing C? Increasing or decreasing $\sigma^2$ ?

(A) It would be reasonable to try decreasing C. It would also be reasonable to try increasing $\sigma^2$ .

(B) It would be reasonable to try decreasing C. It would also be reasonable to try decreasing $\sigma^2$ .

(D) It would be reasonable to try increasing C. It would also be reasonable to try increasing $\sigma^2$ .

Answer with the option's letter from the given choices directly. No punctuation.

Google: Gemini Pro Vision 1.0

mmmu / Computer_SciencePublic

Expected Answer: C

Difficulty: Medium

Subfield: Artificial Intelligence

Evaluation ID: e2b61de0-e9f9-40e3-8af0-ebffe5074eed
Created: February 21, 2024

Raw Output

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  "usage": {
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