Accuracy of prediction model ? MLP node

how to explain that with the same multilayer perceptron MLP model and same training set and test set, the accuracy of the prediction changes each execution of the model.

experiment 1 one hidden layer and 5 hidden neud 500 epoch---> accuracy=94.13%

experiment 2 (I kept the same parameters) one hidden layer and 5 hidden neud ,500 epoch---> accuracy=93,97%



Have you ticked the box "Random Seed" in the Learner node ?

no I have not check this box ""Random Seed", I must to check the box??

Well, if you want reproducible results for each new run, you should tick it.