DEVELOPMENT... OpenML
Run
20188

Run 20188

Task 2079 (Supervised Classification) eucalyptus Uploaded 18-06-2014 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_J48(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.MultiBoostAB_J48(1)_C3
weka.MultiBoostAB_J48(1)_I160
weka.MultiBoostAB_J48(1)_P100
weka.MultiBoostAB_J48(1)_S1
weka.MultiBoostAB_J48(1)_Wweka.classifiers.trees.J48

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
0.7903
Per class
F measure
0.6502
Per class
Kappa
0.553
KB relative information score
431.4091
Mean absolute error
0.1391
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
0.6507
Per class
Predictive accuracy
0.6522
Prior entropy
2.2629
Recall
0.6522
Per class
Relative absolute error
0.4442
Root mean prior squared error
0.3957
Root mean squared error
0.3716
Root relative squared error
0.9391
SciMark benchmark
940.9872[565.0277180558361012.3220633477529481.71457151086304907.70082742804311738.1709066016394]