DEVELOPMENT... OpenML
Run
164427

Run 164427

Task 3890 (Supervised Classification) ada_prior 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
0.8803
Per class
F measure
0.8245
Per class
Kappa
0.5079
KB relative information score
2237.9696
Mean absolute error
0.173
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8278
Per class
Predictive accuracy
0.836
Prior entropy
0.8085
Recall
0.836
Per class
Relative absolute error
0.4635
Root mean prior squared error
0.4319
Root mean squared error
0.3712
Root relative squared error
0.8594
SciMark benchmark
926.6717
UserCPU time millis
760
UserCPU time millis testing
20
UserCPU time millis training
740