Training, crossvalidation and testing binding thrombin dataset

@@ -28,7 +28,7 @@ __author__ = 'CMendezC'
 # 6) --outputModelFile File to place output model.
 # 7) --outputReportPath Path to place evaluation report.
 # 8) --outputReportFile File to place evaluation report.
-# 9) --classifier Classifier: BernoulliNB, SVM, NearestCentroid.
+# 9) --classifier Classifier: BernoulliNB, SVM, kNN.
 # 10) --saveData Save matrices
 # 11) --kernel Kernel
 # 12) --reduction Feature selection or dimensionality reduction
@@ -80,7 +80,7 @@ if __name__ == "__main__":
                       help="File to place evaluation report", metavar="FILE")
     parser.add_argument("--classifier", dest="classifier",
                       help="Classifier", metavar="NAME",
-                      choices=('BernoulliNB', 'SVM', 'NearestCentroid'), default='SVM')
+                      choices=('BernoulliNB', 'SVM', 'kNN'), default='SVM')
     parser.add_argument("--saveData", dest="saveData", action='store_true',
                       help="Save matrices")
     parser.add_argument("--kernel", dest="kernel",