DEVELOPMENT... OpenML
Run
164347

Run 164347

Task 3812 (Supervised Classification) arsenic-female-bladder 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
0.7978
Per class
F measure
0.8218
Per class
Kappa
0.1553
KB relative information score
186.5977
Mean absolute error
0.1326
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8719
Per class
Predictive accuracy
0.8694
Prior entropy
0.5956
Recall
0.8694
Per class
Relative absolute error
0.5386
Root mean prior squared error
0.3502
Root mean squared error
0.351
Root relative squared error
1.0024
SciMark benchmark
943.2817
UserCPU time millis
60
UserCPU time millis training
60