DEVELOPMENT... OpenML
Run
164555

Run 164555

Task 4 (Supervised Classification) labor 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)_I160
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
0.9345
Per class
F measure
0.9289
Per class
Kappa
0.8423
KB relative information score
47.6876
Mean absolute error
0.0702
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9306
Per class
Predictive accuracy
0.9298
Prior entropy
0.9393
Recall
0.9298
Per class
Relative absolute error
0.1535
Root mean prior squared error
0.4773
Root mean squared error
0.2649
Root relative squared error
0.555
SciMark benchmark
942.1229
UserCPU time millis
40
UserCPU time millis training
40