Research Article

Round Randomized Learning Vector Quantization for Brain Tumor Imaging

Algorithm 2

Classification based on multiresampling method.
Input: Preprocessed data set using (PCA) filter.
Output: The best accuracy rate
For    to 50
Random the dataset by swapping each instance with next
Select the evaluation method
If cross validation then input fold number
else
select split percentage
  input the required splitting percentage
Build the model using the training data set
Evaluate the model using testing data
If the new accuracy rate > current best accuracy rate Then
    Best accuracy rate = new accuracy rate
Else
   new accuracy rate = current best accuracy rate
Next I
  Print out the best accuracy rate
End.