Run
19431

Run 19431

Task 58 (Supervised Classification) waveform-5000 Uploaded 13-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I10
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.8003
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7338
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6007
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3178.0689
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1775
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
5000
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
0.7338
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7338
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5849
Cross-validation details (10-fold Crossvalidation)
Recall
0.7338
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3993
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4213
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8937
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.8796[562.11425968265671013.3868112175512474.05817848535908.32989414330441746.5088487702178]