multiple iterations for different sized datasets

Same data with different scaling of the y-axis.

title	multiple iterations for different sized datasets
class	class vsoc.training.SizeIterationsTraining$
learningRate	1.0E-04
trainingData	playerpos_x A 100000, playerpos_x A 500000, playerpos_x A 1000000, playerpos_x A 5000000
batchSizeTrainingDataRelative	0.10
testData	playerpos_x B 5000
iterations	50, 100, 200, 500
optAlgo	STOCHASTIC_GRADIENT_DESCENT
seed	6779276617664099510

Conclusion
The difference of the error variation between a dataset of 10k and 5M is not very big.
A Dataset of 10k with 500 iterations seems to be sufficient for reasonable results.