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Verification tests indicated that the generated second-order polynomial models were acceptable.
Results show that the prediction accuracies of SVM and RF models were acceptable.
For both the cases the r2 was in the range of 0.624 0.800 indicating good data fit and r2cv was in the range of 0.606 774 indicating that the predictive capabilities of the models were acceptable.
The two- and three-exponential models were acceptable in nearly all of the under-sampled (n = 40 and n = 160) trials.
The reliabilities of the factors of the different models were acceptable (>0.70, except for one factor with reliability 0.62).
The indicators for assessing the quality of the overall models were acceptable to good for both the child scales and the adult scales of the Child ZAP.
Similar(53)
Thus, model fit of configural MI models was acceptable for most countries.
Both these models are acceptable, although the ANN model demonstrated a higher accuracy.
As shown in Table 4, all model fit indices demonstrate that all of the refined models are acceptable except χ2.
Thus, trends for the first two models are acceptable, whereas the two last ones are not consistent with reality.
The validations demonstrate that accuracies of the proposed models are acceptable and can be improved by shrinking the planned workspace.
More suggestions(15)
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CEO of Professional Science Editing for Scientists @ prosciediting.com