Those numbers are counts. For example, 103 is the number of instances for which class=Democrat and handicapped-infants=n.
The numbers in brackets give the proportion of each class of instances in the data.
You may have to take the Laplace correction into account when considering theses numbers.
Note that the model shown by default is the model buit from the full dataset (as loaded into the Preprocess panel). It doesn’t matter whether you use cross-validation or percentage split evaluation. The model won’t change. The latest version of WEKA has an option to output all models built during evaluation, under “More options...”.
From: Harmeet Singh <[hidden email]> To: [hidden email] Cc: Bcc: Date: Fri, 23 Feb 2018 19:49:21 -0800 Subject: Help needed to interpret weka output
I am using the vote.arff dataset to train NaiveBayes classifier in weka. I am using the default values except cross-validation folds (5 instead of default). I get the output in the following format: