hi
my data are like data below :
----------data------------ | score
0 0 0 0 0 0 0 1 0 0 0 0 | 0.74
0 0 0 0 0 0 4 0 0 0 0 0 | 0.25
0 0 0 2 0 0 0 0 0 0 0 0 | 0.43
0 0 0 1 0 0 0 0 0 0 0 0 | 0.35
and each row according to the position and value of number has its own score :
I'm trying to analyse this data using artificial neural network so that when I enter a data (e.g. 0 0 0 0 0 0 0 6 0 0 0 0) it can tell me the score or which one of data this one looks like (like the result of probabilistic neural network).
when I'm using train data set as test data set , maximum accuracy of PNN is 75% , I want to achieve more accuracy
my question is , which one of automatic data analysing tools (ANNs or SOM or SVM or ...) is suitable for this kind of data ?
//my data are single neucleotid polymorphisms
thanks for any help
- Badges
- Science topic