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Questions and Answers
What is the primary purpose of detecting missing values and outliers in a dataset?
What is the purpose of the linear regression algorithm?
Which metric is commonly used to evaluate the performance of a regression model?
What is the primary purpose of the Perceptron algorithm?
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What is the purpose of a confusion matrix in the context of classification models?
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Which evaluation metric is commonly used for binary classification tasks?
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What is the purpose of calculating linear regression on a dataset?
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Which evaluation metric is appropriate for measuring the results obtained from logistic regression in binary classification?
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What is one of the key purposes of improving a regression model based on results obtained?
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When preparing a dataset for Machine Learning, what does detecting missing values and outliers help in achieving?
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Which aspect is essential to focus on when identifying a use case for linear regression in relation to a need?
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In binary classification, which performance metric focuses on the balance between precision and recall?
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What does the Perceptron algorithm primarily aim to achieve?
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