Marker orders were strongly positively correlated between BnaSNDH and BnaSGDH, with a mean correlation coefficient of 0.88 (Table 3).
During the 2007 08 influenza season, Google Flu Trends estimates were highly correlated to CDC surveillance for ILI, with a mean correlation coefficient over nine US Census Regions of 0.97 [2].
The mean correlation coefficient for sorted data was 0.92, and changed by 0.015 on average when thresholded.
The mean correlation coefficient of the model was 62% for the first rain and 46% for the next two rains.
The accuracy is acceptable when validated by global ground-based observations, and the mean correlation coefficient (R) and root mean square error (RMSE) are 0.46 and 0.04 cm3cm−3 24, respectively.
The mean correlation coefficient of the proposed model is about 0.78, which is significantly greater than that of the OLR at about 0.49.
In traditional methods, the LLA is assumed to be the lowest ABP at which the mean correlation coefficient is below a particular threshold value.
Next, the mean correlation coefficient of the sorted feature set can be computed based on the Pearson's correlation analysis.
Despite the seemingly gross assumptions, the mean correlation coefficient between the measured and predicted potentials for three dogs and eleven stimulation electrode configurations was 0.985, and the mean rms error was 17%.
In this paper, when the mean correlation coefficient is higher than 0.7, the feature will be recognized as a severe redundant feature, and will thus be removed.
R was approximated as the mean correlation coefficient (R = 0.84) calculated using raw performance data from nine continuous exercise trials (derived from four separate publications).
