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The null hypothesis is the case where the two models predict the dataset equally well.
To compare the informativeness of selected SNPs with the PCA approach, we split the HGDP dataset equally into a training set and a testing set, and use the standard Support Vector Machine (SVM) [20] [22] to predict the continental memberships of the samples (see Results for details).
Trajectories calculated from covariance matrices of F2s were compared to a preexisting dataset from Lake Malawi (Cooper et al. 2010) and to a combined dataset equally comprising the parental LF and TRC species (Parsons et al. 2011c).
In general the inverse problem that is only based on minimizing the RMS leads to over-fitting, allowing for many solutions that all fit the dataset equally well but may not show correct behavior or properties beyond the dataset.
Likewise, the alternative version of modified model A (l = - 4,451.778) and the null implementation of modified model A (l = - 4,451.808) explained the evolution of the dataset equally well, when specifying the Sophophora glob3 stem lineage as foreground.
a,b,cWithin a row, means with different superscript letters differ for multiple comparisons according to Tukey test (P < 0.05); Residual intake and body weight gain groups created by dividing the dataset equally into three groups based on residual intake and body weight gain; Significance of the group effect.
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It is important to note that the transformation of the FIS affects the SNVs in all proxy datasets equally, depending solely on the functional annotation of the gene where the SNV is located.
Since we wanted to have a training dataset with equally many samples for each class, we decided to balance the classes, resulting in 461 training samples for each class.
In 10-fold cross validation, the dataset is equally and randomly divided into ten portions.
In this method, the dataset is equally and randomly divided into k parts.
In 5-fold cross-validation, the original dataset is equally separated into five portions at random.
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