Run
20411

Run 20411

Task 6 (Supervised Classification) letter Uploaded 18-06-2014 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)_I160
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
0.9292
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8639
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8584
Cross-validation details (10-fold Crossvalidation)
KB relative information score
17242.5355
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0105
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
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
0.8641
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8639
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998
Cross-validation details (10-fold Crossvalidation)
Recall
0.8639
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1416
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1023
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5322
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.0457[564.6619124438491014.4538012229739483.8854846559526911.17140496421141756.0557934247322]