DEVELOPMENT... OpenML
Run
163272

Run 163272

Task 3011 (Supervised Classification) hypothyroid 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)_I40
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
0.9895
Per class
F measure
0.9128
Per class
Kappa
0.3361
KB relative information score
2203.0714
Mean absolute error
0.0323
Mean prior absolute error
0.0729
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9083
Per class
Predictive accuracy
0.9303
Prior entropy
0.4715
Recall
0.9303
Per class
Relative absolute error
0.4433
Root mean prior squared error
0.1904
Root mean squared error
0.1216
Root relative squared error
0.6384
SciMark benchmark
911.0478
UserCPU time millis
80
UserCPU time millis training
80