--- a
+++ b/classification/SMOTEBoost/ClassifierTrain.m
@@ -0,0 +1,29 @@
+function model = ClassifierTrain(data,type)
+% Training the classifier that would do the sample selection
+
+javaaddpath('weka.jar');
+
+CSVtoARFF(data,'train','train');
+train_file = 'train.arff';
+reader = javaObject('java.io.FileReader', train_file);
+train = javaObject('weka.core.Instances', reader);
+train.setClassIndex(train.numAttributes() - 1);
+% options = javaObject('java.lang.String');
+
+switch type
+    case 'svm'
+        model = javaObject('weka.classifiers.functions.SMO');
+        kernel = javaObject('weka.classifiers.functions.supportVector.RBFKernel');
+        model.setKernel(kernel);
+    case 'tree'
+        model = javaObject('weka.classifiers.trees.J48');
+        % options = weka.core.Utils.splitOptions('-C 0.2');
+        % model.setOptions(options);
+    case 'knn'
+        model = javaObject('weka.classifiers.lazy.IBk');
+        model.setKNN(5);
+    case 'logistic'
+        model = javaObject('weka.classifiers.functions.Logistic');
+end
+
+model.buildClassifier(train);
\ No newline at end of file