Imputation involves replacing missing values with statistically derived estimates such as mean, median, mode, or values predicted by machine learning models. This approach ensures the dataset remains robust without significant loss of information. For example, imputing the mean for missing sales figures can maintain the overall trend without introducing bias. Advanced imputation techniques, such as regression or k-nearest neighbors, provide more accurate estimations based on the relationships within the data. Proper handling of missing data is crucial to preserve dataset integrity and improve the reliability of subsequent analyses. Why Other Options Are Incorrect: • A: Discarding the entire dataset is impractical and results in data loss. • B: Using random values introduces noise and reduces reliability. • D: Ignoring missing data can lead to biased or incomplete analysis. • E: Replacing with zeros distorts the dataset, particularly in numerical or continuous data.
One yard is 91% of a metre. What percent is one metre of one yard?
In India, appointments of persons other than district judges to the judicial service of a State are made by the _________.
Kalanamak rice, ‘Buddha’s gift to people’ is cultivated in which of the following state?
Dargah of which following Sufi Saint is not located in India?
Which one of the following is NOT a part of the/ seven pillars of NITI Ayog?
'No first use’ doctrine, is associated with
Which of the following countries can now use the Indian rupee to settle its trade with India in addition to other currencies, as per an announcement mad...
Who among the following is the author of “Principles of Political Economy”?
All fraud cases of value below ₹ 10,000/- involving bank officials, should be referred to the ___ of the bank?
When was the Lahore session held?