Precision-Recall plot

Elastic Stack Kibana
#1

Hi all,

I would like to build a Precision-Recall plot (for detection data of machine learning domain ). I have the next data in my ElasticSearch index:

  • detection result ("true positive", "true negative", "false positive" or "false negative")
  • confidence threshold ( value in a range [0,1] )

What I need:

  • calculate Precision = count(TP) / ( count(TP) + count(FP) )
  • calculate Recall = count(TP) / ( count(TP)+ count(FN) )

Precision and recall should be calculated for values for confidence in different ranges, by example:

  • precision and recall for values where confidence threshold > 0.3
  • precision and recall for values where confidence threshold > 0.5
  • precision and recall for values where confidence threshold > 0.9

And then I need to plot all calculated precision and recall values I one plot ( i already know how to do this task).

Could you please advise how I can calculate precision and recall values per confidence value and then reuse them in another plot?

thank you in advance

#2

Hi, unfortunately, this plot and the calculation can be done solely in Vega at the moment.
TSVB visualization allows you do such kind of calculation but it can't render non-temporal x-axis charts, the standard line chart can show also non-temporal but can not do such kind of calculation, unfortunately.

#3

many thanks
i will follow your advice

#4

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