(R2 Pred.) vs R2 Pred.

Both "(r2 pred.)" and "r2 pred." can be correct depending on the context. The first one is used when the text is part of a larger sentence and needs to be enclosed in parentheses, while the second one is used when the text stands alone or is part of a list.

Last updated: March 17, 2024 • 895 views

(R2 Pred.)

This construction is correct when the text needs to be enclosed in parentheses as part of a larger sentence.

Use "(r2 pred.)" when the text is part of a sentence and needs to be enclosed in parentheses for clarity or emphasis.

Show examples from the web [+]

The predictive ability of the selected model was also confirmed by external R2 pred. A value of R2 pred is greater than 0.6 may be taken as an indicator of good.
... whole dataset, instead local QSAR models were developed for 118 compounds (classical QSAR r2=0.78, q2=0.75, r2 pred= 0.77 with 2 PCs; HQSAR r2=0.82, ...
sub design model attained high values of R2, adj-R2, pred-R2,. MEF and. 2 r r with negative value of ΔMSEP but the AP and. ΔMSE values showed that the SP ...
Resample Result ## Task: Hiiragi ## Learner: classif.glmnet.tuned ## mmce.aggr : 0.01 ## mmce.mean: 0.01 ## mmce.sd: 0.04 with( r2$pred$data, table(truth, ...

R2 Pred.

This construction is correct when the text stands alone or is part of a list.

Use "r2 pred." when the text is a standalone phrase or part of a list without the need for parentheses.

Show examples from the web [+]

The predictive ability of the selected model was also confirmed by external R2 pred. A value of R2 pred is greater than 0.6 may be taken as an indicator of good.
... whole dataset, instead local QSAR models were developed for 118 compounds (classical QSAR r2=0.78, q2=0.75, r2 pred= 0.77 with 2 PCs; HQSAR r2=0.82, ...
sub design model attained high values of R2, adj-R2, pred-R2,. MEF and. 2 r r with negative value of ΔMSEP but the AP and. ΔMSE values showed that the SP ...
Resample Result ## Task: Hiiragi ## Learner: classif.glmnet.tuned ## mmce.aggr : 0.01 ## mmce.mean: 0.01 ## mmce.sd: 0.04 with( r2$pred$data, table(truth, ...

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