DEVELOPMENT... OpenML
Run
16514

Run 16514

Task 31 (Supervised Classification) credit-g Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_OneR(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_OneR(1)_C3
weka.MultiBoostAB_OneR(1)_I40
weka.MultiBoostAB_OneR(1)_P100
weka.MultiBoostAB_OneR(1)_S1
weka.MultiBoostAB_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.5478
Per class
F measure
0.6155
Per class
Kappa
0.0541
KB relative information score
75.6559
Mean absolute error
0.361
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.604
Per class
Predictive accuracy
0.636
Prior entropy
0.8818
Recall
0.636
Per class
Relative absolute error
0.8592
Root mean prior squared error
0.4583
Root mean squared error
0.5688
Root relative squared error
1.2413
SciMark benchmark
607.5717[352.0873317204494905.0986635092272260.616924648885536.7403436214881983.315345851754]