Iris data set
2018-07-22
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It is suitable for multi classification problem and two classification problem. The test data of the source code is iris, and the test results show that the classification accuracy of the algorithm is very high, which can reach 98%. K-nearest neighbor (KNN) classification algorithm is a mature method in theory and one of the simplest machine learning algorithms. The idea of this method is: if most of the k most similar samples in the feature space belong to a certain category, then the sample also belongs to this category.
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