IEEE/ICACT20210203 Slide.11
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IEEE/ICACT20210203 Slide.11
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Besides, the K value in KNN should be set with a proper value to obtain a high level of prediction efficiency. K value is the number of points closest to the focused point that will be used to find the average value for predictions. The dataset that will be used with K-NN must be separated into a training set and a testing set. In the experiment, 20% of the dataset is assigned to be the testing set and the remaining 80% is used for the training set. | |
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