WEKA classification likelihood of the classes

Question

I would like to know if there is a way in WEKA to output a number of \'best-guesses\' for a classification.

My scenario is: I classify the data with cross-validatio

Answer 1

when you calculate a probability for the instance, how exactly do you do this?

I have posted my PART rules and data for the new instance here but as far as calculation manually I am not so sure how to do this! Thanks

EDIT: now calculated:

private float[] getProbDist(String split){

// takes in something such as (52/2) meaning 52 instances correctly classified and 2 incorrectly classified.

    if(prob_dis.length > 2)
        return null;

    if(prob_dis.length == 1){
        String temp = prob_dis[0];
        prob_dis = new String[2];
        prob_dis[0] = "1";
        prob_dis[1] = temp; 
    }

    float p1 = new Float(prob_dis[0]);
    float p2 = new  Float(prob_dis[1]);
    // assumes two tags
    float[] tag_prob = new float[2];

    tag_prob[1] = 1 - tag_prob[1];
    tag_prob[0] = (float)p2/p1;

// returns double[] as being the probabilities

return tag_prob;    
}