What technique involves scaling numerical features to a similar range?a.Encodingb.Imputationc.Standardizationd.Normalization

1. Break Down the Problem

The question asks for the technique used to scale numerical features to a similar range among the given options.

2. Relevant Concepts

• Encoding typically refers to converting categorical variables into numerical forms.
• Imputation involves filling in missing data in a dataset.
• Standardization (Z-score normalization) rescales features to have a mean of 0 and a standard deviation of 1.
• Normalization typically refers to rescaling the features so that they lie in a specific range, often [0, 1].

3. Analysis and Detail

• Standardization: While useful, it does not necessarily ensure that values are within a specific range.
• Normalization: Specifically involves adjusting the values in the dataset to a common scale without distorting differences in the ranges of values.

4. Verify and Summarize

Between standardization and normalization, the latter is explicitly aimed at scaling numerical features into a similar range, often in the [0, 1] interval.

Final Answer

The correct answer is d. Normalization.