clear;
clc;
load('bcTrain.mat')
load('bcTrain.mat')

net = newff([0 3432],[10 1], {'tansig','logsig'});
net = init(net);

net.inputs{1}.size = 30;
net.trainParam.epochs = 1000;
net.trainParam.goal = 0.000001;

net = train(net,feats_train',labels_train');
y_pred = round(sim(net,feats_test'));



evaluateMulticlassClassification(labels_test,y_pred)