Shows reliability of test results based on the size of the testing data set
显示根据测试数据集大小得出的测试结果的可靠性
After that, the testing data set will be fed to the classifier to be evaluated.
然后,测试数据集传输到分类器,等待评估。
Underfitting means that the model is not able to reduce the training error rate while overfitting is a result of the model training error rate being much lower than the testing data set rate.
Input data will be randomly split into two sets, a training set and a testing set, based on the percentage of data for testing and maximum number of cases in testing data set you provide. The training set is used to create the mining model. The testing set is used to check model accuracy. [Percentage of data for testing] specifies percentages of cases reserved for testing set. [Maximum number of cases in testing data set] limits total number of cases in the testing set. If both values are specified, both limits are enforced.
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