Sentence examples for between the two prediction from inspiring English sources

The Spearman correlations between the two prediction types were 0.66 for 1985, 0.64 for 1993, and 0.77 for 2000.

The overlap ratio between the two prediction sets is a percentage calculated with the division of the intersection and union of the two prediction sets.

Prediction results were discordant for only four tumors, indicating a strong association between the two prediction results (P < 2.2 e − 16, Fisher's exact, Cramer's V association coefficient = 0.954) (Table 3).

Within RIL families, prediction accuracies of PHT were more similar between the two prediction methods (Table S9, Figure S8), but GBLUP outperformed bagged predictions derived from nonnested QTL mapping on many occasions.

The percentage of AD patients in each class, which actually corresponded to the positive predictive value (PPV), that is, the percentage of true positives among all samples in the class, was compared between the two prediction models.

The difference in patient distribution between the two prediction models was, however, significantly different, as the PLM scale had more AD patients in class 3 as well as more NAD patients in class 0 compared with the prediction obtained with the logistic regression.

The congruency (P-value = 1.8 × 10−34) between the two predictions was mainly driven by the large number of SNPs predicted to be benign by PolyPhen and tolerant by SIFT.

There was highly significant non-independence (P-value = 1.8 × 10−34) between the two predictions, driven primarily by the large proportion (66%) of SNPs predicted to be benign by PolyPhen and tolerant by SIFT.

Through these comparisons, it is shown that there are good agreements between the two predictions.

The plane strain model is verified by comparing with the thin-plate model, and good agreements have been achieved between the two predictions.

It is concluded that the quantitative difference between the two predictions stems from different assumptions on how the properties vary across the phase interface yielding a lower dissipation of Gibbs energy by diffusion in the phase-field simulations.