4. Which of the following is suitable for an unsupervised learning? Examine the relationship between academic performance and level ofinclass participation using observations that de a feature recording that include each student's grade. Classifying benign and malignant tumors using historical data on tumor shape, color,etc. Predict house price based on location, house size, and number of rooms. Segment customers into groups for discovering similar characteristics between them.

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4. Which of the following is suitable for an unsupervised learning? Examine the relationship between academic performance and level ofinclass participation using observations that de a feature recording that include each student's grade. Classifying benign and malignant tumors using historical data on tumor shape, color,etc. Predict house price based on location, house size, and number of rooms. Segment customers into groups for discovering similar characteristics between them.

Answer 1

The correct answer is: Segment customers into groups for discovering similar characteristics between them.Unsupervised learning is a type of machine learning that involves finding patterns or structures in data without having pre-defined labels or outcomes. It is used to discover hidden patterns or relationships in the data. In this case, segmenting customers into groups based on their similar characteristics is an example of clustering, which is a common unsupervised learning technique. The other options involve supervised learning, where the model is trained on labeled data to make predictions or classifications.

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