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What is a disadvantage of using the K-Nearest Neighbors (KNN…

What is a disadvantage of using the K-Nearest Neighbors (KNN) model for classification?

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Three classification models were trained on a dataset of pre…

Three classification models were trained on a dataset of previous bank transactions with the goal of detecting fraudulent transactions. The first model (M1), which is complex, has a training error of 0.0034. The second model (M2), which is simpler, has a training error of 0.0047. The third model (M3), which is the simplest, has a training error of 0.1251. Which model would be the best one to use for classifying future transactions?

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You trained a model to predict stock market prices. Your mod…

You trained a model to predict stock market prices. Your model performs well on your dataset, but performs poorly on a different dataset. How can you improve your model?

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You want to train a model for detecting stones that contain…

You want to train a model for detecting stones that contain gold. A mining company has a dataset of 5 million stone images, of which only 500 contain gold. What is the best measure to evaluate your model if you designate stone images with gold as the positive class?

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You have a dataset of 5,000 audio files, and you want to tra…

You have a dataset of 5,000 audio files, and you want to train a model to detect music files within the dataset. How would you validate the performance of your classifier?

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You are given a dataset of cars and asked to train a decisio…

You are given a dataset of cars and asked to train a decision tree to classify the cars into two classes: Luxury and Sports. If a leaf node contains 100 cars, which case would provide better performance? (L represents the Luxury class, and S represents the Sports class.)

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What is an underlying assumption of Naive Bayes Classificati…

What is an underlying assumption of Naive Bayes Classification?

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You want to train a model for detecting bald eagles. Nationa…

You want to train a model for detecting bald eagles. National Geography provides you a dataset of 1 million bird images, of which only 200 are bald eagles. What is the best measure to evaluate your model if you designate bald eagles as the positive class?

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Compute the cosine similarity and correlation coefficient be…

Compute the cosine similarity and correlation coefficient between feature vectors X and Y: X = (4, 2, 3, 3) Y = (1, 3, 5, 7)

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You are given a dataset of agricultural products and asked t…

You are given a dataset of agricultural products and asked to train a decision tree to classify the products into two classes: Fruits and Vegetables. If a leaf node contains 100 products, which case would provide better performance? (F represents the Fruits class, and V represents the Vegetables class.)

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