DEVELOPMENT... OpenML
Run
21125

Run 21125

Task 2079 (Supervised Classification) eucalyptus Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I80
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.671
Per class
F measure
0.4771
Per class
Kappa
0.3309
KB relative information score
280.3295
Mean absolute error
0.2116
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
0.4808
Per class
Predictive accuracy
0.4742
Prior entropy
2.2629
Recall
0.4742
Per class
Relative absolute error
0.6756
Root mean prior squared error
0.3957
Root mean squared error
0.4544
Root relative squared error
1.1483
SciMark benchmark
942.0138[560.12868580782781000.4958509626932482.7975877024999908.32981910425011758.3172656914378]