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References in periodicals archive ?
(5) Area under the curve Refers to the area of the lower part of the curve expressing the change in true positive rate and false positive rate of discrimination of the trained model as a two-dimensional graph.
After the application of the plane area mask to the correlation results the true positive rate (sensitivity) remained the same but false positive rate decreased from 0.87 to 0.74, a total of 0.13 decreases.
The MLP got 0.97 True Positive Rate (TP RATE), while J48 got 0.94 True Positive (TP RATE).
The true positive rate, the true negative rate, the false positive rate and the false negative rate was calculated for both the scoring systems and accordingly conclusions were drawn.
Performance of all aforesaid models is compared in terms of accuracy, true positive rate, precision, F-measure, kappa statistic, mean absolute error, and root mean squared error.
A total of 6 criteria were used for the assessment of performance, including: true positive rate, false positive rate, true negative rate, false negative rate, accuracy, and preciseness.
For the reliability-adjusted cut point, the true positive rate increases from 79.0 percent to 89.5 percent monotonically as the minimum sample size is increased.
In the Medical Sciences, Receiver Operating Characteristics (ROC) analysis has been borrowed from signal processing to become a standard for evaluation and standard setting, comparing True Positive Rate and False Positive Rate.
In rough mathematical terms, the ROC curve is simply a graph that illustrates the relationship between the true positive rate and the false positive rate.
recalculate Mahalanobis distance using the new features [y.sup.*]) (6) Classify observations based on the threshold [x.sup.*], and the selected features [y.sup.*] (7) IF MD < [x.sup.*] (8) Observation is classified as negative (9) Else (10) Observation is classified as positive (11) End (12) Calculate the True Positive rate ([TP.sub.rate]) and the False Positive rate ([FP.sub.rate]) (13) D [left arrow] [square root of [([TP.sub.rate] - 1).sup.2] + ([FP.sub.rate]).sup.2]], (i.e.
This is the so-called true positive rate or sensitivity, which takes values between 0 (no links discovered) and 1 (all links discovered).