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Statistical Analysis of Preprocessed Data

3 Statistical Analysis of Preprocessed Data 419 Theoretical MSI signal [Pg.419]

Mann Whitney test A--NN, SVM, RF Survivai anaiysis [Pg.420]

MATLAB. For interactive data visualization, which plays an important role in the approach to data analysis, use is made of both R and MATLAB. [Pg.420]

Most current studies report an internal validation accuracy without an independent validation set. When there are a sufficiently large number of samples, the whole dataset can be split into two, one for training and one for testing (validation) this method is called hold-out validation. When the number of samples is limited, leave-one-out cross validation (LOOCV) is a popular technique. Here, a procedure is repeated N times, and each time a different sample is left out and used for testing the model learned from the remaining (N - 1) samples. The accuracy of [Pg.420]


See other pages where Statistical Analysis of Preprocessed Data is mentioned: [Pg.418]    [Pg.421]    [Pg.425]   


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