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As it is seen in Table 1, the values of ({text{Mean}}_{{{text{Diff}}1}}) and ({text{Mean}}_{{{text{Diff}}2}}) are positive.
As it is seen in Table 2, the presence of MWNTs decreases the values of LOI on the samples containing APP/PER, but the samples still show reasonable flame retardancy.
As it is seen in Table 10, machines 1, 3, and 5 are allocated to cell 1 and machines 2, 4, and 6 are assigned to cell 2. Machine 4 is idle over the planning horizon.
As it is seen in Table 5, HBE method is one of the top classifiers together with BayesNet and RBF Network with the accuracy of 95.24% compared with other methods.
Similar(56)
Baseline data is seen in Table 1.
Obviously, it is not the case as it can be seen in Table 2.
As it can be seen in Table 3, the overall classification accuracy of 85% is achieved.
Overall, BIC would have done slightly better, as it can be seen in Table 2.
differ, as can be seen in Table 1.
This is in agreement with literature, as can be seen in Table 4.
This difference was significant in all areas, as can be seen in Table 3.
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