At the minimum, the number of models should not exceed the sample size for model selection (Burnham and Anderson, 2003).
The experimental data also show a broad range and smooth variation as do models 2 and 3. Unlike those models, however, experimental data reach the extremes of full dominance, while these models do not exceed a relative dominance of about ±0.5 (i.e., one input dominating for 75% of time) for the input range tested.
If no substantial difference can be detected between the two model fits (ie, if the difference in the deviance information criterion for the two models would not exceed three points), heterogeneity may be low.
Criterion (ii) requires that the span (i.e. the query sequence length from the end of the first to the beginning of the last defragmented hit) of candidate repetitive element models do not exceed a (user-definable) length δ (default δ = 40 Kb).
A population of measurements for a snowmobile model may not exceed a mean output of 67 dB(A), and a single measurement may not exceed 69 dB(A).
A TV receiver model is considered to comply with this noise figure if the maximum noise figure for channels 14-69 inclusive of 97.5% of all receivers within that model does not exceed 14 dB.
The range of the strains obtained from the FE modeling did not exceed 100E−6 for columns, even for a truck speed of 30 mph.
The total number of variables included in the regression model did not exceed the conservative ratio of 1 variable per 10 samples [ 10].
To avoid overfitting, the number of parameters in a linear regression model should not exceed n/15; in this case at most 529/15≈35.
Remarkably, the MAECV and RMSECV characterizing the deviation of the test data sets to their respective training model do not exceed the analytical error of more than 37% for MAECV and 21% for RMSECV, and these proportions are reduced to 29% and 12%, respectively, if P800 is not taken into account.
Your model should not exceed 10 MB.
