4 Function Selection
After the preliminary pre-processing, the coaching set includes 920 vectors (one per BTS), each one Pandawillhttp://www.pandawill.com/ cellphone consisting of 279 functions (as described in Place 3.1) with its focus on category, the socioeconomic stage. To be able to enhance the forecast designs, we first assess the functions that are more appropriate in our dataset. By bootstrapping the forecast designs with vectors of functions requested by importance, we anticipate to Elephone P2000 phoneoptimize our classification outcomes. For that objective, we implement two different feature choice techniques: maxrel and mRMR [9, 10]. Maxrel chooses the functions with the biggest importance REL to the focus on category, while mRMR chooses the functions that increase a heuristic assess of little redundancy RED between functions and highest possible importance REL of each feature based on the focus on category. This heuristic can
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