DEVELOPMENT... OpenML
Run
164946

Run 164946

Task 29 (Supervised Classification) credit-approval 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)_I160
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
0.937
Per class
F measure
0.8671
Per class
Kappa
0.7328
KB relative information score
502.2562
Mean absolute error
0.1344
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
0.8712
Per class
Predictive accuracy
0.8667
Prior entropy
0.9913
Recall
0.8667
Per class
Relative absolute error
0.2721
Root mean prior squared error
0.497
Root mean squared error
0.3372
Root relative squared error
0.6786
SciMark benchmark
923.7642
UserCPU time millis
250
UserCPU time millis training
250

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