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Figure 13a shows the ROC of CANDIDATE-M and Figure 13b the ROC of CANDIDATE-G for SNR = -10 dB obtained with Monte Carlo runs and for different compression rates.
Figure 14 ROC of BTBR and SDIp on processing DanceB1.
Fig. 9 ROC of BP-FLOM detector with multi-detectors.
Fig. 8 ROC of SSLV and SSLV with variable step.
Fig. 8 ROC of BP-FLOM detector with different number of detectors.
The actual AUC ROC of RF&(bar{p}_{RFC}) is 0.87.
Figure 6 displays the receiver operating curve (ROC) of the final classification. .
Figure 16 ROC of the P-SCH correlation algorithm in different LTE channel models.
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The comparison of AUC-ROC of Ptr,stim and TFdi is displayed in Fig. 2.
An area under the receiver operating characteristics curve (AUC-ROC) of 0.750 or greater was considered to represent a good biomarker, whereas an AUC-ROC of 0.900 or greater was considered to represent an excellent biomarker [27].
The Two-graph Receiver Operating Characteristics (TG-ROC) of the serum ELISA was determined to examine the performance of the test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com