nave bayes
hello
please help me
I don't understad the value in the distribution table in nave bayes?
Answers
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Hi @barkhordari55,
Here, you can find an Excel file using the "Golf dataset" to better understand how the Naive Bayes algorithm (without Laplace correction) works :
https://drive.google.com/open?id=12mELZ_SW8fv-VfeRkY-mUjqEUb42ODx6
I hope it helps,
Regards,
Lionel
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Hello Lionel, thank you very much
It was very useful
I have another question
Can you interpret the following results from my RapidMiner?0 -
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Hello
please interpret the following results from my nave bayes in
RapidMiner?0 -
Hi @barkhordari55,
Difficult to interpret raw results from these screenshots. (I don't know what are your attributes and your target variable)
Maybe I would better understand if you share your dataset(s)...
Regards,
Lionel
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Hi again @barkhordari55,
I would say (but to be confirmed by your dataset(s)) that you have an imbalanced dataset : You have a (very) big majority of
[target = True] and a minority of [target = False]. So a priori the model you builded consider the prediction = [target = True] whatever
the value of your attributes. It is often the case when a dataset is imbalanced. In fine you have a (relativ) good accuracy but a very bad recall for [target = False] => You are not able to detect and predict the cases [Target = False]
If your primary goal is to detect and predict the case [Target = False], you have to pre-process your data, to increase the performance of your model.
Regards,
Lionel
NB : To be confirmed by your dataset(s)
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hello lion
thank you very much
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