DEVELOPMENT... OpenML
Run
165392

Run 165392

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)_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
0.9906
Per class
F measure
0.9745
Per class
Kappa
0.93
KB relative information score
824.099
Mean absolute error
0.0268
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
0.9747
Per class
Predictive accuracy
0.9744
Prior entropy
0.7932
Recall
0.9744
Per class
Relative absolute error
0.0739
Root mean prior squared error
0.426
Root mean squared error
0.1511
Root relative squared error
0.3547
SciMark benchmark
940.2922
UserCPU time millis
410
UserCPU time millis training
410