DEVELOPMENT... OpenML
Run
163875

Run 163875

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)_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
0.8771
Per class
F measure
0.6558
Per class
Kappa
0.5238
KB relative information score
1151.6093
Mean absolute error
0.3771
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
0.7232
Per class
Predictive accuracy
0.6818
Prior entropy
1.5849
Recall
0.6818
Per class
Relative absolute error
0.8486
Root mean prior squared error
0.4714
Root mean squared error
0.4106
Root relative squared error
0.8711
SciMark benchmark
936.6206
UserCPU time millis
670
UserCPU time millis training
670

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