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This file contains the rmse function
Update : 2025-02-19 Size : 1kb Publisher : uda

MATLAB cross-validation tool for classification and regression v0.1 FEATURES: + K-fold cross validation. + Arbitrary train and prediction functions with parameters can be used. + Arbitrary loss function can be used. + Wrappers for KNN, SVM, GLM, robust regression and decision trees. + Wrappers for RMSE, MAD and misclassification loss functions.
Update : 2025-02-19 Size : 3kb Publisher : milk

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通过matlab编写的几个关于PSNR、mse的图像处理的小程序,希望能对大家有所帮助。-root-mean-square error
Update : 2025-02-19 Size : 1kb Publisher : 幽幽
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