According to the results, considering the most relevant combinations of 2 input parameters is the more appropriate option for all cities to achieve more accuracy and less complexity in predictions.
For the most relevant combinations (R- Pl and Pl- Pl, also R-R and R- Pl), four replicates (i.e., times the experiment was repeated) were conducted, and for the rest of groups, two replicates were accomplished using honeybees from at least three colonies.
RESULTS Among virulence genes, the most relevant combination derived from the logistic regression was the association of cap8, sea, sei, lukE, and hlgv (area under the curve 0.958).
While SFFS was effective in finding the most relevant combination of predictive features, it does not provide a ranking of the individual features.
Drug interaction among the combination cisplatin-paclitaxel with mifepristone for the different cell lines was expressed as normalized isobolograms for the most relevant combination data point leading to synergism.
However, due to important differences between the structure and the metabolic state of cells in flax inner and outer tissues, it is necessary to identify the most relevant combination of reference genes.
Explicit distinction between factors and constraints depending on the fuzziness of their spatial patterns, and between limiting and non-limiting factors depending on their impact and interaction, furthermore allowed to apply the most relevant arithmetic combination procedures.
Most studies thus far have focused on the most relevant 2-species combinations (e.g., spruce-beech, oak-beech) while other important combinations such as pine-oak, larch-beech, fir-beech, or spruce-fir-beech and pine-beech-oak have received scant attention.
The plot by centrality visualization is an easy and convenient way to discriminate nodes and/or group of nodes that are most relevant according to a combination of two selected parameters.
It is however not always clear which levels and treatment combinations are most relevant.
Our approach consists firstly of generation of all possible combinations of most relevant values of the parameters included in construction of such classifier, or influencing its performance in anomaly detection, like feature selection, data normalization, architecture of neural network and activation function.
