DEVELOPMENT... OpenML
Run
164026

Run 164026

Task 2266 (Supervised Classification) BNG(waveform-5000) 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)_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
0.8256
Per class
F measure
0.4436
Per class
Kappa
0.3335
KB relative information score
84404.273
Mean absolute error
0.4236
Mean prior absolute error
0.4444
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3743
Per class
Predictive accuracy
0.554
Prior entropy
1.5849
Recall
0.554
Per class
Relative absolute error
0.9531
Root mean prior squared error
0.4714
Root mean squared error
0.4511
Root relative squared error
0.9569
SciMark benchmark
922.9039
UserCPU time millis
259150
UserCPU time millis testing
970
UserCPU time millis training
258180