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The developed estimation models are evaluated using different evaluation metrics.
The classification was evaluated using standard metrics.
Model performance and accuracy of the estimated parameters were evaluated using accepted metrics and bootstrap resampling.
The performances have been evaluated using standardized metrics.
In addition, the resulting patches were evaluated using landscape metrics.
Then the detected complexes are evaluated using the metrics to be introduced in the following section.
In experiments, the model was evaluated using metrics of precision and recall.
Table 2 PaRouting values of simulation scenario protocolss Values Netwofk siMANETor NS-2.35 Routing performanceODV, Fuzzy AODV, MBcanWireless Mac Layer protocol IEEE 802.11 Number of nodevaluatedusingon area 900 × 900 manyreless transmission range 250 m Mobility model Random waypoint model Pause time 10-20-30-40-50-60-70-80-90-100 s Simulation time 300 s Interface quantitative0 Size of packet 512 bytes/packet Application Layer FTP.
They are evaluated using three accuracy metrics, Kappa index, classification accuracy and classification error.
Cognitive status of AMC subjects was also evaluated using metrics listed above.
Model performance was evaluated using a number of metrics.
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