update experiment

source/main/ocr/classificationExperiment.py

@@ -83,9 +83,9 @@ if __name__ == "__main__":
     classifier.features = ConstantFeature.BEST_LR_FEATURE_ALL_COURSES[course.getCourseId()][25]
      
     result = classifier.predictionTaskNTimes(course, 
-                                                                                           whereToCut=25,
-                                                                                           ntime=10,
-                                                                                           cache = False)
+                                               whereToCut=25,
+                                               ntime=10,
+                                               cache = False)
     print("accuracy: ", np.nanmean(result.accuracies))
     print("std accuracy: ", np.std(result.accuracies))
     print("confusion Matrix:\n", result.avgConfusionMatrix)