DEVELOPMENT... OpenML
Run
24386

Run 24386

Task 5 (Supervised Classification) arrhythmia Uploaded 05-07-2014 by Felicia West
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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
F measure
0.546
Per class
Kappa
0.3141
KB relative information score
144.3058
Mean absolute error
0.0565
Mean prior absolute error
0.0855
Number of instances
452
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5516
Per class
Predictive accuracy
0.5487
Prior entropy
2.5222
Recall
0.5487
Per class
Relative absolute error
0.6601
Root mean prior squared error
0.2055
Root mean squared error
0.237
Root relative squared error
1.1531
SciMark benchmark
894.6452[525.0574205788375962.0344422444904454.59010550481406863.45190661122311668.092074237556]