COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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The number of missing values in a dataset
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The number of minimum missing values for an operation to be performed
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The number of missing values in a column
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The minimum ratio of missing values to all values in a column for cleaning to be performed
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Detailed explanation-1: -For Minimum missing value ratio, specify the minimum number of missing values required for the operation to be performed. You use this option in combination with Maximum missing value ratio to define the conditions under which a cleaning operation is performed on the dataset.
Detailed explanation-2: -One way of handling missing values is the deletion of the rows or columns having null values. If any columns have more than half of the values as null then you can drop the entire column. In the same way, rows can also be dropped if having one or more columns values as null.
Detailed explanation-3: -A missing value can signify a number of different things in your data. Perhaps the data was not available or not applicable or the event did not happen. It could be that the person who entered the data did not know the right value, or missed filling in. Data mining methods vary in the way they treat missing values.
Detailed explanation-4: -Missing data, or missing values, occur when you don’t have data stored for certain variables or participants. Data can go missing due to incomplete data entry, equipment malfunctions, lost files, and many other reasons. In any dataset, there are usually some missing data.