DEVELOPMENT... OpenML
Run
17609

Run 17609

Task 2079 (Supervised Classification) eucalyptus Uploaded 09-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_IBk(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0
weka.MultiBoostAB_IBk(1)_C3
weka.MultiBoostAB_IBk(1)_I160
weka.MultiBoostAB_IBk(1)_P100
weka.MultiBoostAB_IBk(1)_S1
weka.MultiBoostAB_IBk(1)_Wweka.classifiers.lazy.IBk

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
0.6921
Per class
F measure
0.5156
Per class
Kappa
0.3773
KB relative information score
312.1376
Mean absolute error
0.1966
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
0.5232
Per class
Predictive accuracy
0.5109
Prior entropy
2.2629
Recall
0.5109
Per class
Relative absolute error
0.6276
Root mean prior squared error
0.3957
Root mean squared error
0.4407
Root relative squared error
1.1136
SciMark benchmark
932.5416[552.14958929700331013.9200573100866434.0104003466316907.70082742804311754.9271701211055]