I asked this question last night and Matt Krause explanation helped me a lot. (For more explanation please see my previous question). Now I have another problem. We are using RapidMiner studio and logistic regression classifier to train our model. And here is our new model and results :
I have two simple question:
- What dose negative weights mean? Is it okay, or something is wrong?
- How should we use this weights to predict new records? Consider that we are using logistic regression classifier. (For example a C# application to summarize news)
Here is RapidMiner logistic regression doc. Logistic Regression