Average precision and classification accuracy are measured as the performance metrics.
(6) Select the testing samples of each class, and calculate the precision of classification result.
In addition, allowed and not allowed SMARTS were connected by logical AND, OR and NOT operators to allow for a high precision, automated classification of chemical compounds.
Cho and Kim integrated the results of multiple neural networks that used fuzzy logic, and the experiment showed this method improved the precision of classification [36].
The precision of classification, i.e., the probability of once being predicted actually belonging to the predicted group, is given in row: Precision.
After testing word sizes of 45, 50,55, and 60, empirical results showed that a block of five commands optimized both sensitivity and precision during classification processing.
It is evident in Table 3 that the proposed GOP NN shows a higher degree of precision and classification accuracy compared to the MLP NN.
Among evaluation metrics, classical measures including accuracy, PPV, specificity, sensitivity, precision, and classification rate have been mostly used [55 58, 60 62, 65, 71, 73, 77].
Based on the theoretical and experimental analyses, it is found that with the decreasing number of support vector, the precision of classification increases.
The precision of classification, i.e., the probability of once being predicted actually belonging to the predicted group, is lowest for INT investors (58.0%%) and highest for SR fund investors (92.3%%).
