I was wondering how to relate the attribute final weighting as I think it will be important to train the data set, for example in classification to build a decision tree model in Weka how can we use fnlwgt to construct a correct model based on it's values as higher values should be more dominant over the lower values?
should we be using fnlwgt in the first place?
You can remove fnlwgt if you don't know how to make use of it. However, using fnlwgt may lead to interesting findings. You may need to perform some preprocessing (e.g. normalisation) on fnlwgt before use it.