DEVELOPMENT... OpenML
Run
20574

Run 20574

Task 29 (Supervised Classification) credit-approval Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I160
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.8915
Per class
F measure
0.8406
Per class
Kappa
0.6775
KB relative information score
456.2458
Mean absolute error
0.1682
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
0.8407
Per class
Predictive accuracy
0.8406
Prior entropy
0.9913
Recall
0.8406
Per class
Relative absolute error
0.3405
Root mean prior squared error
0.497
Root mean squared error
0.3722
Root relative squared error
0.7489
SciMark benchmark
942.1305[558.69335417099721014.1867954103211482.36378704342826896.52530019499931758.8835103978397]