🥳 RAPIDMINER 9.9 IS OUT!!! 🥳
The updates in 9.9 power advanced use cases and offer productivity enhancements for users who prefer to code.
Neutral Network for football match prediction
I want to make a question about how to predict a football match with the help of Rapidminer.So lets start!!
I have an excel file with about 3000 games of football matches....I have 20 culumns with data(19 columns with numbers like "goals,wins,losses" etc,and 1 column with the final result of the match(1,X,2),which i use as a label).So total 20 columns!
Now i have a second excel file with 10 matches i want to predict the final result,with the same number of columns(19).And i just want to predict the result of the match(1,X,2).
I use 4 operators...2 "read excel" operators,1 "neural net" operator,and 1 "apply model" operator...
NOW my problem is that i try to predict 10 matches for beginning,but i take final result 1 to all of my matches!
Why thats happening?And when i change the "neutral net" operator with the "k-NN" i take better results...
So my question is,what is better to use to predict something like that?Do you have an other operator or generally some kind of advice that will help me to my work?
Thanks a lot in advance,Jim!