Sentence examples for of wrong classifications from inspiring English sources

percentage of wrong classifications (PWC):  .

false positive rate (FPR): FP/ FP + TN), false negative rate (FNR): FN/ TN + FP), percentage of wrong classifications (PWC):  100 × (FN + FP / TP + FN + FP + TN), 4. f-measure (FM): 2 × (PR × RE /(PR + RE).  .

TP and TN are the correct predictions while FP and FN are the two kinds of wrong classifications.

The average number of questions that needed to be presented prior to termination and the number of wrong classifications were calculated and reported.

But he believes this is a case of wrong classification rather than an indication that sea monsters do not exist.

Most of standard learning algorithms have been designed for balanced data (the data with the same frequency of samples in each class), where the cost of wrong classification is the same within all classes.

In some cases, the cost of wrong classification can be very high in a sample of a special class, such as wrongly misclassifying cancerous individuals or patients as healthy ones.

Other common performance metrics like recall, precision, specificity, false positive rate, false negative rate, and percentage of wrong classification as well as complete segmentation results for various methods, including ours, are publicly available under Results tab on the changedetection.net website.

Proportion of misclassifications is calculated as the ratio: number of wrong classification divided by total number of classifications.

The clustering model of SWKC-GS is defined based on wrong classification rate of labeled samples and fuzzy clustering index on the whole dataset.

Thirdly, many classification methods are based on the pixels, but when the impact of noise is significant, it can easily lead to wrong classifications.