Basic ML Concepts Flashcard

Front

How to evaluate model performance in sklearn?

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score()

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What is the recommended value for ANSWER in train_test_split(X,y, test_size=ANSWER)?

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0.2

Front

What does ML stand for?

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Machine Learning

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Which library in Python is commonly used for implementing machine learning algorithms like linear regression? Options: matplotlib, scikit-learn, pandas, numpy

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scikit-learn

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What is the purpose of linear regression in ML?

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Linear regression is used to model the relationship between variables and make predictions.

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How can missing values in a dataset be handled? Options: Replace with Central tendency (mean, median, mode), Delete columns with missing values, Drop Rows where you have missing values, All answers are correct

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All answers are correct

Front

What does the train-test split function do in ML?

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It divides the dataset into training and testing sets.

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Which class is used to replace missing values in a dataset using sklearn? Options: SimpleImpute, replacena, fillna, dropna

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SimpleImpute

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What function from Scikit-learn is used to split a dataset into training and testing sets?

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train_test_split()

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Why is it important to drop duplicates in a dataset before training a model?

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To remove redundant data points that can skew the model's learning process and introduce bias on the unseen data(test_set)