DEVELOPMENT... OpenML
Run
22229

Run 22229

Task 2079 (Supervised Classification) eucalyptus Uploaded 21-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I20
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.851
Per class
F measure
0.6608
Per class
Kappa
0.5657
KB relative information score
442.4417
Mean absolute error
0.136
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
0.6616
Per class
Predictive accuracy
0.6603
Prior entropy
2.2629
Recall
0.6603
Per class
Relative absolute error
0.4342
Root mean prior squared error
0.3957
Root mean squared error
0.3608
Root relative squared error
0.9119
SciMark benchmark
915.0687[540.3471348716815982.6389809975685468.269442668285888.02170947903681696.0662375181641]