"why we dont see accuracy rate for MLP and help about RMSE"
I am new user of RapidMiner. I have a couple of questions.
First: I can see accuracy rate for some learner (i.e. tree induction learner) but in the case of ANN learner we just see RMSE error
Second : at the result of Neural net learner if we have a "root_mean_squared_error: 0.452 +/- 0.463 (mikro: 0.647 +/- 0.000)". For the value , what does it mean? is it good value for class seperability or not. For example when i use SVM it give me "root_mean_squared_error: 1.036 +/- 1.343 (mikro: 1.696 +/- 0.000)". Could you give detailed explanations about RMSE message. And make comparison between this two leaner based on RMSE results.
Thanks for your helps and advice