False negative and detection rate standard deviation values are always the same?
$begingroup$
I am trying to recover standard deviation from the detection rate of an intrusion detection system through the false negative standard deviation. Until now I was able to recover the mean, maximum and minimum detection rate values. (Obs. I have enough data to recover these values)
I am trying to recover the detection rate sandard deviation now. The formulas are the following ones:
dr = tp/(tp+fn) / fnr = fn/(tp+fn)
dr = detection rate / fn = false negative / tp = true positive
*False negative (fn) is when the detection system classifies anomaly data as normal
*True positive (tp) is when the detection system correctly classifies anomaly data as anomaly
*False negative rate (fnr) is the number of fn divided by the number of anomalies (tp+fn)
I now that when the detection rate increases the false negative decreases and the other way around
When I get the detection rate standard deviation, I see that it is the same standard deviation from the false negative.
Is that right or I made some mistake?
calculus functions
asked Dec 9 '18 at 19:09
user8955046user8955046
63
$endgroup$
add a comment |
$begingroup$
I am trying to recover standard deviation from the detection rate of an intrusion detection system through the false negative standard deviation. Until now I was able to recover the mean, maximum and minimum detection rate values. (Obs. I have enough data to recover these values)
I am trying to recover the detection rate sandard deviation now. The formulas are the following ones:
dr = tp/(tp+fn) / fnr = fn/(tp+fn)
dr = detection rate / fn = false negative / tp = true positive
*False negative (fn) is when the detection system classifies anomaly data as normal
*True positive (tp) is when the detection system correctly classifies anomaly data as anomaly
*False negative rate (fnr) is the number of fn divided by the number of anomalies (tp+fn)
I now that when the detection rate increases the false negative decreases and the other way around
When I get the detection rate standard deviation, I see that it is the same standard deviation from the false negative.
Is that right or I made some mistake?
calculus functions
asked Dec 9 '18 at 19:09
user8955046user8955046
63
$endgroup$
add a comment |
$begingroup$
I am trying to recover standard deviation from the detection rate of an intrusion detection system through the false negative standard deviation. Until now I was able to recover the mean, maximum and minimum detection rate values. (Obs. I have enough data to recover these values)
I am trying to recover the detection rate sandard deviation now. The formulas are the following ones:
dr = tp/(tp+fn) / fnr = fn/(tp+fn)
dr = detection rate / fn = false negative / tp = true positive
*False negative (fn) is when the detection system classifies anomaly data as normal
*True positive (tp) is when the detection system correctly classifies anomaly data as anomaly
*False negative rate (fnr) is the number of fn divided by the number of anomalies (tp+fn)
I now that when the detection rate increases the false negative decreases and the other way around
When I get the detection rate standard deviation, I see that it is the same standard deviation from the false negative.
Is that right or I made some mistake?
calculus functions
asked Dec 9 '18 at 19:09
user8955046user8955046
63
$endgroup$
I am trying to recover standard deviation from the detection rate of an intrusion detection system through the false negative standard deviation. Until now I was able to recover the mean, maximum and minimum detection rate values. (Obs. I have enough data to recover these values)
I am trying to recover the detection rate sandard deviation now. The formulas are the following ones:
dr = tp/(tp+fn) / fnr = fn/(tp+fn)
dr = detection rate / fn = false negative / tp = true positive
*False negative (fn) is when the detection system classifies anomaly data as normal
*True positive (tp) is when the detection system correctly classifies anomaly data as anomaly
*False negative rate (fnr) is the number of fn divided by the number of anomalies (tp+fn)
I now that when the detection rate increases the false negative decreases and the other way around
When I get the detection rate standard deviation, I see that it is the same standard deviation from the false negative.
Is that right or I made some mistake?
calculus functions
calculus functions
asked Dec 9 '18 at 19:09
user8955046user8955046
63
asked Dec 9 '18 at 19:09
user8955046user8955046
63
edited Dec 9 '18 at 19:15
user8955046
asked Dec 9 '18 at 19:09
user8955046user8955046
63
asked Dec 9 '18 at 19:09
user8955046user8955046
63
asked Dec 9 '18 at 19:09
user8955046user8955046
63
63
add a comment |
add a comment |
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