DEVELOPMENT... OpenML
Run
162418

Run 162418

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)_I20
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
0.8518
Per class
F measure
0.5815
Per class
Kappa
0.4583
KB relative information score
1687.8449
Mean absolute error
0.33
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
0.7171
Per class
Predictive accuracy
0.6378
Prior entropy
1.5849
Recall
0.6378
Per class
Relative absolute error
0.7424
Root mean prior squared error
0.4714
Root mean squared error
0.398
Root relative squared error
0.8443
SciMark benchmark
939.7623
UserCPU time millis
1250
UserCPU time millis testing
10
UserCPU time millis training
1240