The median interobserver reliability Kappa coefficient for this classification system using 4 observers was 0.74 (0.65–0.84), i.e. substantially reliable (Landis and Koch 1977).
However, for those methods which used coefficients of various basis functions as features for classification, such as the wavelet coefficients, the coefficients are usually not easy to interpret clinically.
For chemical descriptors, since lipo-hydro partition coefficient contains the major contribution for classification and parameter MolLogP is distinguishable for active and inactive compounds, this may provide a clue for future therapeutic NR-inhibitors discoveries.
If the water direct value-added output coefficient is used as a basis for classification, then we can categories the industrial departments into: high-output departments (output coefficient above 200 yuan/m3), medium-output departments (output coefficient between RMB 100 200/m3) and low-output departments (output coefficient below RMB 100/m3).
Only the coefficients significantly rejecting the hypothesis are used for classification.
Table 2 shows κ coefficients for these algorithms plus two classification methods: RFC, SVC-lin, and SVC-rbf.
According to this classification, kappa coefficients for agreement between factors for job satisfaction and job incentives for less highly trained laboratory professionals were almost perfect for the categories of professional development, appreciation from management, and vacation/time off.
SEQ-FREQ'S correlation coefficients increased by 0.06 (MCC) and 0.03 (r) for classification and real-value prediction, respectively.
The differences in the kappa coefficient for the textural classification models were evaluated statistically using a pairwise Z-test, revealing a significant increase in per-class classification accuracy compared to GLCM-based texture measures.
