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목록train/test (1)
Data Science Explorer
Machine Learning: Train/Test
To measure if the model is good or not, we can use a method called Train/Test. Train/Test It is for measuring the accuracy of the model, and it is called train/test because you separate the data set into two: training and testing set. Train the modeal means create the model and test the model means that the accuracy of the model. 80 % for training and 20 % for testing. Example Our data set illus..
Machine Learning
2023. 11. 18. 22:10