DEVELOPMENT... OpenML
Run
165039

Run 165039

Task 215 (Supervised Classification) BNG(ionosphere) 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)_I160
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
0.9681
Per class
F measure
0.9047
Per class
Kappa
0.7908
KB relative information score
785844.4449
Mean absolute error
0.0957
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
0.9066
Per class
Predictive accuracy
0.9061
Prior entropy
0.9418
Recall
0.9061
Per class
Relative absolute error
0.208
Root mean prior squared error
0.4797
Root mean squared error
0.2867
Root relative squared error
0.5977
SciMark benchmark
894.7455
UserCPU time millis
434140
UserCPU time millis testing
9940
UserCPU time millis training
424200