Run
16314

Run 16314

Task 2075 (Supervised Classification) abalone Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_BFTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(1)_I10
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(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
0.6909
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2317
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.143
Cross-validation details (10-fold Crossvalidation)
KB relative information score
108.0998
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0661
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
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
0.2254
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2452
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2452
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0692
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1811
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0305
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.7407[528.71798329498521014.7209476623404474.68690723372646904.56866745157771731.0088653417492]