DEVELOPMENT... OpenML
Run
18817

Run 18817

Task 2079 (Supervised Classification) eucalyptus Uploaded 11-06-2014 by Felicia West
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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)_I80
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
0.8102
Per class
F measure
0.653
Per class
Kappa
0.5562
KB relative information score
433.8267
Mean absolute error
0.1383
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
0.6546
Per class
Predictive accuracy
0.6549
Prior entropy
2.2629
Recall
0.6549
Per class
Relative absolute error
0.4414
Root mean prior squared error
0.3957
Root mean squared error
0.3688
Root relative squared error
0.9319
SciMark benchmark
942.2869[556.73178976750961014.7209476623404482.36378704342826905.5060508708661752.1121496976039]