Looking into Detection, Model Results and Message Quality

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Metrics – a figure and its parameterLooking for a perceived quality index parameter nlist of values perceived as "same quality"count Model n Quality metrics:computedvalue−"truth"10 20 0,67 Q = ∆/T n QualityIndex =20 36 0,67 ∆ = |model result - count result|("truth") n50 85 0,63 T = "Truth", e.g. count result or 0.7*count + 0.3*model100 160 0,61 n: parameter (to be determined)200 300 0,59500 700 0,54 Result: Median: Average1000 1300 0,52 n = 0,61 0,612000 2400 0,575000 5700 0,51 Values should be on a line (same "qualty parameter")10000 11000 reference20000 21600 0,68 Values outside [0,1] not logical50000 53000 0,6810/22/2010 24
Metrics – ExampleValue (e.g. flow)7.0006.0005.0004.0003.0002.0001.00010987654321Quality index"truth"comparison basecomputedvaluesQuality =difference/ truth00 4 8 12 16 20 24time [h]010/22/2010 25
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Looking into Detection, Model Results and Message Quality

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