Threshold value of training error is set to be 0.12.
If no distance value was retained for a given i-th training sample (K i = 0), then its threshold t i would be theoretically settled to 0, but a pragmatic solution is to set it equal to the smallest threshold of the training set.
Rates are plotted with regard to the classification threshold of the trained classifier.
Then, the classification threshold of the trained FCMAC-BYY is adjusted to minimize this ratio while keeping the misclassification rate of an advertisement clip into noncandidate segment as low as zero percent.
To further discuss the performance and general applicability of our detector, we investigate the distributions of detections and false positives with regard to the classification threshold of the trained classifier as shown in Fig. 13.
The predictive index generated by this secondary algorithm classifies patients as either 'ACT-responders' or 'ACT-non-responders', depending on whether the index is above or below the predetermined classification threshold (median index of Training Series B).
At this level of score threshold, the training set gave a FPR of 5%.
Using ROC curves for each year of training, the threshold ACR scores at or above which there was a negligible risk of exam failure were 32, 42, 63, and 47 for training years 1, 2, 3 and 4 respectively.
The features for the classifier were unigrams and bigrams that surpassed a frequency threshold of 3 in the training data.
As originally implemented in the dk-NN algorithm, a query must fall within the neighbourhood threshold of at least one training instance in order to be considered inside the AD.
The interval between the time points is approximately 10 min. The horizontal line is the threshold of 0.2 used in training the models.
