Here is an example of loading a model to predict the value of instances. The example model is a J48 decision tree created and saved in the Weka Explorer. It was built from the nominal weather data provided with Weka. It is called "tree.model".
//load model
String rootPath="/some/where/";
Classifier cls = (Classifier) weka.core.SerializationHelper.read(rootPath+"tree.model");
//predict instance class values
Instances originalTrain= //load or create Instances to predict
//which instance to predict class value
int s1=0;
//perform your prediction
double value=cls.classifyInstance(originalTrain.instance(s1));
//get the name of the class value
String prediction=originalTrain.classAttribute().value((int)value);
System.out.println("The predicted value of instance "+
Integer.toString(s1)+
": "+prediction);
The output from this is:
The predicted value of instance 0: no
A great beginers resource for the Weka api and Serialization is here!
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