Additional file 1: Prediction accuracies of tested methods.
Percentile ranks of each biological property and overall prediction score of tested targets of small molecule inhibitors.
We also show the use of the genome sequence and resequencing information to make predictions of test-cross hybrid performance.
We discuss methodological and theoretical issues that complicate interpretation of individual differences effects in this domain, individual difference predictions of testing effect models, and educational implications.
Using a new proposed design approach, average improvements of around 20%, that still produce safe side predictions of test data, are achieved.
The proposed FE approach is shown to provide accurate predictions of test results, including load deflection curves, failure loads and crack patterns.
Comparisons of the developed method with the ultimate shear capacity of a series of tested stainless steel plate girders show that improved resistance predictions of test capacity over current design methods are achieved.
This alternative approach matches finite element analysis (FEA) trend well and gives quite accurate predictions of test results by Vila Real et al. Applying this new approach, the over-conservatism of the EC3 approach for temperature below 500°C can be reduced.
Accurate predictions of test solutions, in the range of 12 410 μM for ascorbic acid, 17 530 μM for 4-aminophenol and 10 420 μM for paracetamol, have been achieved with RMSEs lower than 0.10 μM.
The sum of squared error of test data is 1.953 and the percent incorrect predictions of test data is 8.3%%.
