Discrepancies were considered "major" if an isolate classified as S by the reference method was classified as R by the commercial method and "very major" if an isolate classified as R by the reference method was classified as S by the commercial method.
It is shown that the fault conditions of diesel engine can be efficiently classified by the proposed method using the coefficient matrix obtained by DNMF.
Although the sensitivity for the 24HR was low, the PPV was still high indicating that, among the URGB classified by the Goldberg method, most of them were true UR, and NPV was also high; these measures were also high for the FFQ.
Accuracy (also called true positive rate or recall) of a classifier was defined as the percentage of the dataset correctly classified by the method, i.e., number of correctly classified samples/total number of samples in the class.
Accuracy accuracy is a measure of the percent of correctly classified objects by the classification method: begin{aligned} hbox {Accuracy} =frac{mathrm{TP}+mathrm{TN}}{mathrm{TP}+mathrm{FP}+mathrm{TN}+mathrm{FN}}.
end{aligned}Error rate the percentage of incorrectly classified object by the classification method: begin{aligned} hbox {Error Rate}=frac{mathrm{FP}+mathrm{FN}}{mathrm{TP}+mathrm{FP}+mathrm{TN}+mathrm{FN}}.
Last and most importantly, some cases were classified incorrectly by the current method, as shown in Figure 6, the majority of which were arteries that were interpreted as veins due to the lack of the HLBRF.
Positive predictive value (PPV), the probability of being an UR if classified as one by the Goldberg method, and Negative predictive value (NPV), the probability of being an AR if classified as one by the Goldberg method were calculated.
Most importantly the data indicates that boys were 2.86 times more likely to be classified as overweight by the CDC method than by the IOTF method, while girls was 2.08 times more likely to be classified as overweight by the CDC method than by the IOTF method.
