Run
24386

Run 24386

Task 5 (Supervised Classification) arrhythmia Uploaded 05-07-2014 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)_I10
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
0.6614
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.546
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3141
Cross-validation details (10-fold Crossvalidation)
KB relative information score
144.3058
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0565
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
0.5516
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5487
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5222
Cross-validation details (10-fold Crossvalidation)
Recall
0.5487
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6601
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2055
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.237
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1531
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
894.6452[525.0574205788375962.0344422444904454.59010550481406863.45190661122311668.092074237556]