Internal rewrite of MachineLearningResult to a nonterminal.

- Make preference less noisy in logging
- MachineLearningResult and ItemPreference have equals added
- For classification, MachineLearningModel.classify() should be used as it sets lastPreference automatically
- Analyze also checks for updated preference
- Plan adds changed items of preference to recognition event
- Learner returns recognized activity correctly