Match the machine learning concept/term with its description. Some descriptions do not match any concept/term.
Question 2 options:
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Overfitting
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Mean Squared Error (MSE)
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Precision
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Recall
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Feature scaling
1.
A performance metric used to evaluate regression models
2.
A challenge in machine learning when a model performs well on training data but poorly on unseen data
3.
A preprocessing step to normalize or standardize independent variables
4.
A performance metric that measures the percentage of positive class predictions that were actually positive
5.
A performance metric that measures the percentage of actual positive instances that were correctly predicted
6.
A regularization technique used to prevent overfitting
7.
A tool used to evaluate the performance of a classification model by showing true positives, false positives, true negatives, and false negatives