DEVELOPMENT... OpenML
Run
164655

Run 164655

Task 2257 (Supervised Classification) BNG(cylinder-bands) 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
0.7675
Per class
F measure
0.7026
Per class
Kappa
0.3902
KB relative information score
343801.4016
Mean absolute error
0.3226
Mean prior absolute error
0.4878
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
0.7235
Per class
Predictive accuracy
0.7165
Prior entropy
0.9823
Recall
0.7165
Per class
Relative absolute error
0.6612
Root mean prior squared error
0.4939
Root mean squared error
0.462
Root relative squared error
0.9354
SciMark benchmark
911.3823
UserCPU time millis
2290590
UserCPU time millis testing
4740
UserCPU time millis training
2285850