DEVELOPMENT... OpenML
Run
164391

Run 164391

Task 3852 (Supervised Classification) anneal 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
0.9886
Per class
F measure
0.9665
Per class
Kappa
0.9077
KB relative information score
799.7029
Mean absolute error
0.0359
Mean prior absolute error
0.3633
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9665
Per class
Predictive accuracy
0.9666
Prior entropy
0.7932
Recall
0.9666
Per class
Relative absolute error
0.0988
Root mean prior squared error
0.426
Root mean squared error
0.174
Root relative squared error
0.4085
SciMark benchmark
936.6206
UserCPU time millis
200
UserCPU time millis training
200