如何处理数据集中超出范围的值（RSSI 值）

Question

I am new in machine learning. My dataset has RSSI values from -100dbm to +100dbm. The correct values are from (-100 to 0)dbm and the 100 dbm values are out of range.

so how can I deal with it?

The dataset has about 520 value of RSSI and about 500 of them have 100 dbm value which is out of range and it is not useful, but I can not delete it (the dataset is for localization)

Answer 1

One option to deal with this issue, you could try to impute (change) the values that are out of range with a more reasonable value. There are several approaches you could take to do this:

• Replacing the out-of-range values with the mean or median of the in-range values
• Using linear interpolation to estimate the missing values based on the surrounding values

The choice will depend on the goal of your machine learning model and what you want to achieve.