Run
18849

Run 18849

Task 5 (Supervised Classification) arrhythmia Uploaded 11-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(1)_I10
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.7559
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5655
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3317
Cross-validation details (10-fold Crossvalidation)
KB relative information score
168.217
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0449
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0855
Cross-validation details (10-fold Crossvalidation)
Number of instances
452
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
0.5758
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6416
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5222
Cross-validation details (10-fold Crossvalidation)
Recall
0.6416
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5247
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2055
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2094
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0189
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.13[560.30860489012831013.3868112175512472.38971539770705905.8189190131481748.7459163532728]