DEVELOPMENT... OpenML
Run
162501

Run 162501

Task 2079 (Supervised Classification) eucalyptus Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I20
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.7473
Per class
F measure
0.3421
Per class
Kappa
0.2907
KB relative information score
228.187
Mean absolute error
0.248
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
0.2678
Per class
Predictive accuracy
0.4851
Prior entropy
2.2629
Recall
0.4851
Per class
Relative absolute error
0.7916
Root mean prior squared error
0.3957
Root mean squared error
0.3539
Root relative squared error
0.8943
SciMark benchmark
938.4285
UserCPU time millis
10
UserCPU time millis testing
10