Analysis of Density between Classes for Mitigating Class Imbalance Problem for Activity Recognition
○Sayeda Shamma Alia,井上創造(九工大)
Class Imbalance problem is unavoidable problem for activity recognition using mobile sensors in real life scenario when we have very less amount of data for some activity classes. It can affect the accuracy of the algorithms for classification. In this paper, we tried to find if there is any effect of class imbalance on accuracy of the algorithms depending on various density. It is important for understanding the problem better that can help in finding better solution for classification in this scenario.

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