DEVELOPMENT... OpenML
Run
165291

Run 165291

Task 3761 (Supervised Classification) hip 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
0.9011
Per class
F measure
0.8148
Per class
Kappa
0.6291
KB relative information score
35.2942
Mean absolute error
0.1719
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8148
Per class
Predictive accuracy
0.8148
Prior entropy
0.9991
Recall
0.8148
Per class
Relative absolute error
0.3443
Root mean prior squared error
0.4997
Root mean squared error
0.4037
Root relative squared error
0.808
SciMark benchmark
936.6206
UserCPU time millis
20
UserCPU time millis training
20