DEVELOPMENT... OpenML
Run
21495

Run 21495

Task 36 (Supervised Classification) segment Uploaded 19-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_IBk(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0
weka.MultiBoostAB_IBk(1)_C3
weka.MultiBoostAB_IBk(1)_I40
weka.MultiBoostAB_IBk(1)_P100
weka.MultiBoostAB_IBk(1)_S1
weka.MultiBoostAB_IBk(1)_Wweka.classifiers.lazy.IBk

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
0.9848
Per class
F measure
0.9735
Per class
Kappa
0.9692
KB relative information score
2240.9843
Mean absolute error
0.0083
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9736
Per class
Predictive accuracy
0.9736
Prior entropy
2.8074
Recall
0.9736
Per class
Relative absolute error
0.0339
Root mean prior squared error
0.3499
Root mean squared error
0.0867
Root relative squared error
0.2478
SciMark benchmark
935.3723[546.44131827809791013.1203667026068450.77323163581326909.90626928802961756.6204475653492]

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