Re: Problem with J48 Decision Tree
Eibe Frank <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <[email protected]> |
Your tree doesn't use *any* predictor attributes: this tree consists of a single leaf node that simply predicts the majority class value. Cheers, Eibe > On 14/07/2021, at 1:51 AM, [email protected] wrote: > > I keep running the data through and it makes a binary decision, and only appears to use one attribute, which it doesn't specify. What am I missing in configuring the tree? Output is: > > J48 pruned tree > ------------------ > : High (113.0/57.0) > > Number of Leaves : 1 > > Size of the tree : 1 > > > Time taken to build model: 0 seconds > > === Stratified cross-validation === > === Summary === > > Correctly Classified Instances 56 49.5575 % > Incorrectly Classified Instances 57 50.4425 % > Kappa statistic 0 > Mean absolute error 0.4178 > Root mean squared error 0.4572 > Relative absolute error 99.8172 % > Root relative squared error 99.9995 % > Total Number of Instances 113 > > _______________________________________________ > Wekalist mailing list -- [email protected] > Send posts to [email protected] > To unsubscribe send an email to [email protected] > To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz > List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html _______________________________________________ Wekalist mailing list -- [email protected] Send posts to [email protected] To unsubscribe send an email to [email protected] To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html