For classification a model with all except one sample were build and the last sample predicted into the model.
The intensity ratios for an Si powder sample are predicted with greater accuracy and the temperature factors are more realistic.
Test samples were predicted with a relative standard error of prediction of 0.38%, 7.65% and 0.93% for tap density (single component), shear and rheometer respectively.
After 10 rounds, all samples were predicted with an ethnic group, and the predicted ethnic groups were compared with the actual ethnic groups.
The sampled pixels are predicted with a traditional directional intra prediction scheme, and the non-sampled pixels are predicted from the interpolation of their neighboring reconstructed sampling pixels.
Even with limited sampling, predicted SV distributions correlated with the PCR-based genotyping results of pooled samples (Table 3).
Perhaps it has to do with with the challenges of finding a representative sample, predicting turnout, and picking up late shifts in voter preferences.
In order to make a balance between prediction accuracy and the number of samples can be predicted with our PTFs, different cutoff limits of Standardized Euclidean distance was compared.
While, on average all sampled localities were predicted with high probability in the full ENM, in the K1-only ENM, the K2 and K3 localities were dramatically reduced, and likewise, for the K3-only ENM the K1 and K2 localities had a low probability of occurrence (Figure 3).
The bromobenzene, 1,4-dichlorobenzene and N-nitrosomorpholine exposed samples were typically predicted with accuracies greater than 94% using either the Random Forest or GEMS-SVM approaches.
