DEVELOPMENT... OpenML
Run
18003

Run 18003

Task 2079 (Supervised Classification) eucalyptus Uploaded 09-06-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I10
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8802
Per class
F measure
0.6422
Per class
Kappa
0.5396
KB relative information score
433.0959
Mean absolute error
0.1419
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6459
Per class
Predictive accuracy
0.6413
Prior entropy
2.2629
Recall
0.6413
Per class
Relative absolute error
0.4532
Root mean prior squared error
0.3957
Root mean squared error
0.3493
Root relative squared error
0.8826
SciMark benchmark
926.3274[554.9604525776903992.5084002640265469.70333233980045888.92502312110351725.5397785647556]