A Mobile Network Planning Tool Based on Data Analytics

Algorithm 1

Train regression algorithm.

Input: Input space of size ,

    output space of size ,

    Input space of size ,

    output space of size ,

    number of iterations ()

Output:  

// Given the training set ()

// Apply dimensional reduction step (if it is necessary)

obtain -dimensional input vector

Apply regression analysis in a reduced space

// Set up the data for Bagging/Adaboost

for   to   do

 // Call regression algorithm

  model() regression algorithm, namely -NN, NN, SVM, DT

 // Predict the average QoS

   predict(model(), )

 Evaluate performances against the actual value () by NRMSE

end for

// Result of training base learning algorithm

model best(model)

return (model)