Run
23516

Run 23516

Task 2079 (Supervised Classification) eucalyptus Uploaded 25-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_LMT(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_LMT(1)_I10
weka.AdaBoostM1_LMT(1)_P100
weka.AdaBoostM1_LMT(1)_S1
weka.AdaBoostM1_LMT(1)_Wweka.classifiers.trees.LMT
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0

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
0.86
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6673
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5743
Cross-validation details (10-fold Crossvalidation)
KB relative information score
452.0165
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1346
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
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
0.668
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6671
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.6671
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4297
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3487
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8812
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.3919[560.66879002876651015.7907504114269488.2863871423649908.32981910425011758.8835103978397]