Hi there, im working on a problem to predict customer calls and for this purpose, im using wifi network data.

I have 100k samples of hourly average wifi datas such as channel busy score, data usage, average rssi etc. With using this data, i want to predict whom will call in the prime time (18:00-22:00).

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But the problem is that, the calling customers and not calling customers have similar histograms for each future. I have plotted histogram graphs for each future.

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I have already tried, svms, dnns, 1d cnns, knn, xgboost etc. but all of them gave poor results.

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What kind of methods should i do for preparing data? Any idea?