DEVELOPMENT... OpenML
Run
163268

Run 163268

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)_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
0.9374
Per class
F measure
0.8627
Per class
Kappa
0.7249
KB relative information score
492.7623
Mean absolute error
0.1409
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
0.8692
Per class
Predictive accuracy
0.8623
Prior entropy
0.9913
Recall
0.8623
Per class
Relative absolute error
0.2853
Root mean prior squared error
0.497
Root mean squared error
0.3527
Root relative squared error
0.7096
SciMark benchmark
911.0478
UserCPU time millis
100
UserCPU time millis testing
10
UserCPU time millis training
90