DEVELOPMENT... OpenML
Run
164321

Run 164321

Task 3783 (Supervised Classification) fri_c2_500_50 Uploaded 17-02-2015 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)_I80
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
0.9388
Per class
F measure
0.8553
Per class
Kappa
0.6997
KB relative information score
353.6759
Mean absolute error
0.1393
Mean prior absolute error
0.4839
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8556
Per class
Predictive accuracy
0.856
Prior entropy
0.9767
Recall
0.856
Per class
Relative absolute error
0.288
Root mean prior squared error
0.4918
Root mean squared error
0.3378
Root relative squared error
0.6869
SciMark benchmark
938.2848
UserCPU time millis
790
UserCPU time millis training
790

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