DEVELOPMENT... OpenML
Run
162550

Run 162550

Task 29 (Supervised Classification) credit-approval 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)_I20
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
0.9302
Per class
F measure
0.8569
Per class
Kappa
0.7144
KB relative information score
482.9984
Mean absolute error
0.1483
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8674
Per class
Predictive accuracy
0.8565
Prior entropy
0.9913
Recall
0.8565
Per class
Relative absolute error
0.3003
Root mean prior squared error
0.497
Root mean squared error
0.3494
Root relative squared error
0.7031
SciMark benchmark
938.4278
UserCPU time millis
30
UserCPU time millis training
30