Sentence examples for percentage classification from inspiring English sources

From these results, the SVM classifier with the highest percentage classification accuracy is selected.

This implies that there is a negative transfer that hinders the percentage classification rate at same scales.

From Fig.  9, we can see the combination LR with FEWT acquires highest percentage classification accuracy gain with respect to the best combination of EWT with or without feature selection.

Class-level performance is measured by the percentage classification (η i ), which is defined as {eta}_i=frac{q_{ii}}{N_i^T} (19 where q ii is the number of correctly classified samples and ( {N}_i^T ) is the number of samples for the class ( {mathbf{y}}_{mathbf{i}} ) in the training/testing data set.

The TPR is the measure of the proportion of correctly classified samples and multiplying it by 100 gives the percentage classification accuracy.

A backward stepwise model building strategy was used, selecting models based on fit, as determined by the Akaike information criterion (AIC) statistic, significance of terms included (P ≤ 0.05 was considered significant), and maximisation of the correct percentage classification of cases.

Subjects with psychosocial data differed from those without psychosocial data solely in their higher percentage of classification in the mild limitation category of the Zubrod (Eastern Cooperative Oncology Group) performance status rating (subjects with psychosocial data: 14%; subjects without psychosocial data: 8%).

Percentage of classification of the eight olive oils purchased in USA using results obtained by Panel Test and Chemical Analysis performed on these olive oils by 8 IOC laboratories.

Percentage of classification of the eight olive oils purchased in Italy using results obtained by Organoleptic Evaluation and Chemical Analysis performed on these olive oils by 8 IOC laboratories.

Regarding percentage sodium classification, most of the water samples in the catchment classified under good suitable water class for irrigation use, but there was no unsuitable water class for irrigation use.

Then, by comparing the percentage correct classification in the first and second logistic regression model, we can report that the second one provides a better prediction of the verdict.