Run
24723

Run 24723

Task 11 (Supervised Classification) balance-scale Uploaded 15-07-2014 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)_I20
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
0.8402
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7961
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6222
Cross-validation details (10-fold Crossvalidation)
KB relative information score
349.6968
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1472
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
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
0.8139
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7792
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.7792
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3876
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3837
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8808
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
595.9514[345.53103977210054895.4251110218873263.6890513159977520.3334546292955954.7785102062876]