--- a
+++ b/classification/SMOTEBoost/ClassifierPredict.m
@@ -0,0 +1,20 @@
+function prediction = ClassifierPredict(data,model)
+% Predicting the labels of the test instances
+% Input: data = test data
+%        model = the trained model
+%        type = type of classifier
+% Output: prediction = prediction labels
+
+javaaddpath('weka.jar');
+
+CSVtoARFF(data,'test','test');
+test_file = 'test.arff';
+reader = javaObject('java.io.FileReader', test_file);
+test = javaObject('weka.core.Instances', reader);
+test.setClassIndex(test.numAttributes() - 1);
+
+prediction = [];
+for i = 0 : size(data,1) - 1
+    p = model.classifyInstance(test.instance(i));
+    prediction = [prediction; p];
+end
\ No newline at end of file