DEVELOPMENT... OpenML
Run
162510

Run 162510

Task 215 (Supervised Classification) BNG(ionosphere) 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
0.9041
Per class
F measure
0.8566
Per class
Kappa
0.6828
KB relative information score
657593.4323
Mean absolute error
0.1546
Mean prior absolute error
0.4602
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
0.8656
Per class
Predictive accuracy
0.8614
Prior entropy
0.9418
Recall
0.8614
Per class
Relative absolute error
0.336
Root mean prior squared error
0.4797
Root mean squared error
0.3727
Root relative squared error
0.777
SciMark benchmark
939.7623
UserCPU time millis
55220
UserCPU time millis testing
1450
UserCPU time millis training
53770