Hi all,
i need help to analyze my data set for my thesis but could not proceed per my limited knowledge about rapidminer. I have accidents taken place in construction and some attributes. I want to use root causes (15 type of root cause-15 neurons) and immediate causes (19 types of causes-19 neurons) as layers in neural networks and try to predict outcomes as event exposure types (6 different types). For example (from picture) first accident took place in 27.06.2015 @ 16:15 and resulted in Falling from height. IC3, IC10 and IC16 contributed as immediate causes. RC4 and RC15 are root causes that led to accidents.In other words for first accident activation of neurons (3-10-16 in first layer) activates neurons in second layer (neurons 4 and 15) and one outcome occurs. I have many of accidents like this. See pic for illustration. I need urgent help, any help is appreciated.
