Typically, a CSV or Excel file containing data for a machine learning problem will be formatted in which one of the following ways?Group of answer choicesThere is no standard formatting and the user has to figure out how to handle the rows and columns by reading the accompanying documentation.The last column is the response and all other columns are potential features.Every row is a feature and every column is a response.Every row is a sample/data record, and every column is either a feature or a response.
Question
Typically, a CSV or Excel file containing data for a machine learning problem will be formatted in which one of the following ways?Group of answer choicesThere is no standard formatting and the user has to figure out how to handle the rows and columns by reading the accompanying documentation.The last column is the response and all other columns are potential features.Every row is a feature and every column is a response.Every row is a sample/data record, and every column is either a feature or a response.
Solution
The correct answer is: "Every row is a sample/data record, and every column is either a feature or a response."
Explanation: In a typical machine learning dataset, each row represents a separate data point or sample. Each column represents a different feature (or attribute) of the data, with one column usually designated as the response or target variable that the machine learning model aims to predict. This is the standard format for most machine learning datasets, although there can be exceptions depending on the specific problem or dataset.
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