DEVELOPMENT... OpenML
Run
164641

Run 164641

Task 156 (Supervised Classification) BNG(segment) 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
0.7073
Per class
F measure
0.1381
Per class
Kappa
0.1483
KB relative information score
263214.4678
Mean absolute error
0.2111
Mean prior absolute error
0.2449
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
0.0996
Per class
Predictive accuracy
0.2704
Prior entropy
2.8074
Recall
0.2704
Per class
Relative absolute error
0.862
Root mean prior squared error
0.3499
Root mean squared error
0.3249
Root relative squared error
0.9285
SciMark benchmark
926.6717
UserCPU time millis
2700
UserCPU time millis testing
760
UserCPU time millis training
1940