DEVELOPMENT... OpenML
Run
163847

Run 163847

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)_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
0.9377
Per class
F measure
0.877
Per class
Kappa
0.7516
KB relative information score
504.2789
Mean absolute error
0.1341
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
0.8779
Per class
Predictive accuracy
0.8768
Prior entropy
0.9913
Recall
0.8768
Per class
Relative absolute error
0.2714
Root mean prior squared error
0.497
Root mean squared error
0.3285
Root relative squared error
0.6609
SciMark benchmark
926.6717
UserCPU time millis
120
UserCPU time millis training
120