Run
16888

Run 16888

Task 31 (Supervised Classification) credit-g Uploaded 05-06-2014 by Joaquin Vanschoren
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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)_I80
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
0.7304
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7236
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3242
Cross-validation details (10-fold Crossvalidation)
KB relative information score
318.5281
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2675
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7201
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.734
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.734
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6367
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4958
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0819
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.989[566.31186629444681015.2555353338006475.31730592400976916.90802019261121761.152276377127]