cross validation

Explain why cross-validation is used in both supervised learning (classification) and unsupervised learning (clustering)?

ASSIGNMENT Provide a brief description and examples of each of the following methods of clustering: Partitioning methods. Hierarchical methods. Density-based methods. Grid-based methods.  Load the soybean diagnosis data set in Weka (found in Weka-3.6/data/soybean.arff), then perform the following: Build a decision tree by selecting J48 as the classifier and 10-way cross-validation. Then fill out the […]

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