DEVELOPMENT... OpenML
Run
163145

Run 163145

Task 58 (Supervised Classification) waveform-5000 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)_I40
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
0.8708
Per class
F measure
0.6384
Per class
Kappa
0.5068
KB relative information score
1301.8565
Mean absolute error
0.3644
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7198
Per class
Predictive accuracy
0.6704
Prior entropy
1.5849
Recall
0.6704
Per class
Relative absolute error
0.8198
Root mean prior squared error
0.4714
Root mean squared error
0.4042
Root relative squared error
0.8575
SciMark benchmark
922.9039
UserCPU time millis
420
UserCPU time millis testing
10
UserCPU time millis training
410