Re:A machine learning approach to identifying thought marker...
by chestervonwinch on Tuesday November 08, 2016 @07:21AM
(#12899632)
From Figure 1 (which illustrates some ROC curves):
> The gray line is the AROC curve for a baseline (random) classifier
The AROC is the area under the ROC curve, not the curve itself.
Also, the scale on Figure 1 for the x-axis (corresponding to the False Positive Rate, or sensitivity) go above zero and below one, which doesn't make any sense.
> The gray line is the AROC curve for a baseline (random) classifier
The AROC is the area under the ROC curve, not the curve itself.
Also, the scale on Figure 1 for the x-axis (corresponding to the False Positive Rate, or sensitivity) go above zero and below one, which doesn't make any sense.