DP-100 · Question #29
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…
The correct answer is B. No. Equal Width binning divides the value range into intervals of equal size regardless of how the data is distributed. If the data is skewed or has outliers, most records will cluster into a few bins while other bins remain nearly empty. This imbalance is problematic when using…
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Options
- AYes
- BNo
How the community answered
(26 responses)- A8% (2)
- B92% (24)
Explanation
Equal Width binning divides the value range into intervals of equal size regardless of how the data is distributed. If the data is skewed or has outliers, most records will cluster into a few bins while other bins remain nearly empty. This imbalance is problematic when using bins to predict a target column, as uneven bin populations reduce predictive signal and model quality. For prediction tasks, bin edges should ideally be chosen based on the target variable's distribution or information gain (e.g., Entropy MDL binning), not simply by dividing the numeric range equally.
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