DEVELOPMENT... OpenML
Run
22469

Run 22469

Task 54 (Supervised Classification) hepatitis Uploaded 22-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_SMO_PolyKernel(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_SMO_PolyKernel(1)_C3
weka.MultiBoostAB_SMO_PolyKernel(1)_I80
weka.MultiBoostAB_SMO_PolyKernel(1)_P100
weka.MultiBoostAB_SMO_PolyKernel(1)_S1
weka.MultiBoostAB_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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
0.7881
Per class
F measure
0.839
Per class
Kappa
0.4922
KB relative information score
57.0269
Mean absolute error
0.1818
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8363
Per class
Predictive accuracy
0.8452
Prior entropy
0.7418
Recall
0.8452
Per class
Relative absolute error
0.5513
Root mean prior squared error
0.4048
Root mean squared error
0.3842
Root relative squared error
0.9493
SciMark benchmark
939.6122[547.4703642434524998.9399207242031482.79753594534895907.70082742804311761.152276377127]