Run
19710

Run 19710

Task 18 (Supervised Classification) mfeat-morphological Uploaded 16-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(1)_I80
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_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
0.9122
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6863
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6522
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1373.4487
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0626
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.6864
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.687
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.687
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3478
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2404
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8015
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
921.5669[551.974871083423990.4677419388732467.8613456666719881.74906030041211715.7817099572771]