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The high accuracy of 94.59%, although there are only five cases differing from the lowest accuracy of 81.08%, may be due to high correlation between the test dataset and the third training dataset.
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The left plot in Figure 3 represents the relationships between the individuals in the test dataset and the individuals that are most frequently selected in the training set by the first two principal components of the marker dataset.
Null hypothesis 1: the EFS does not differ between favorable and unfavorable patients from the test dataset.
Scalar residuals between the testing dataset and the seven main field candidate models for epoch 2005.0.
Fig. 3. Scalar residuals between the testing dataset and the seven main field candidate models for epoch 2010.0.
Fig. 2. Histograms of the scalar residuals between the testing dataset and the seven main field candidate models for epoch 2005.0.
Table 1 shows the correlation coefficients between the peak scores and their predicted values by PeakRegressor in the test dataset.
The models were tested with the test dataset.
The test dataset contained altogether 623 variations.
Suppose the test dataset is U.
The RMSE values of the suggested PTFs calculated for log10(K) in the test datasets varied between 0.66 and 0.77 log10(cm day−1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com