Data Preprocessing Questions
Data imputation using cuckoo search is a technique used in data preprocessing to fill in missing values in a dataset. Cuckoo search is a metaheuristic optimization algorithm inspired by the behavior of cuckoo birds. In this approach, the missing values are treated as eggs that need to be replaced with appropriate values. The algorithm searches for the best possible values by iteratively generating new solutions and evaluating their fitness based on certain criteria. The cuckoo search algorithm mimics the process of cuckoo birds laying eggs in other birds' nests and replacing them with their own. By applying this algorithm to data imputation, missing values can be replaced with values that are most likely to be accurate and representative of the dataset.