🥳 RAPIDMINER 9.9 IS OUT!!! 🥳
The updates in 9.9 power advanced use cases and offer productivity enhancements for users who prefer to code.
"Neural Network functioning"
I was doing some testing with the neural network operator and was wondering if I am mistaken in my understanding how it works:
Lets assume you have 1000 data instances(rows) where for each woman from a certain region and above the age of 25 a target variable has the value "yes". For men from the same region and of the same age group the target variable is "no". Then you have another 1000 instances where it is vice versa. If I train (no X-Validation) the NNW on the first 1500 instances (ordered) and switch off shuffling in the operator, shouldn´t the network somehow "forget" that women lead to yes? Apparently it is not, because if I apply the model to the 500 instance left the classification rate is very poor. I have tried different learning rates and momentums.
Thank you in advance for your ideas.