DEVELOPMENT... OpenML
Run
162255

Run 162255

Task 3894 (Supervised Classification) gina_prior2 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)_I10
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
0.6415
Per class
F measure
0.0752
Per class
Kappa
0.1116
KB relative information score
540.3413
Mean absolute error
0.1718
Mean prior absolute error
0.1799
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0462
Per class
Predictive accuracy
0.2079
Prior entropy
3.3188
Recall
0.2079
Per class
Relative absolute error
0.9547
Root mean prior squared error
0.2999
Root mean squared error
0.2931
Root relative squared error
0.9773
SciMark benchmark
938.4278
UserCPU time millis
590
UserCPU time millis testing
10
UserCPU time millis training
580