DEVELOPMENT... OpenML
Run
162215

Run 162215

Task 3852 (Supervised Classification) anneal Uploaded 16-02-2015 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)_I10
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
0.9359
Per class
F measure
0.9403
Per class
Kappa
0.837
KB relative information score
673.3088
Mean absolute error
0.0819
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
0.9411
Per class
Predictive accuracy
0.9399
Prior entropy
0.7932
Recall
0.9399
Per class
Relative absolute error
0.2255
Root mean prior squared error
0.426
Root mean squared error
0.2349
Root relative squared error
0.5512
SciMark benchmark
938.4278
UserCPU time millis
20
UserCPU time millis training
20

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