DEVELOPMENT... OpenML
Run
18785

Run 18785

Task 58 (Supervised Classification) waveform-5000 Uploaded 11-06-2014 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
0.9347
Per class
F measure
0.8641
Per class
Kappa
0.7966
KB relative information score
3654.031
Mean absolute error
0.1471
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8648
Per class
Predictive accuracy
0.8644
Prior entropy
1.5849
Recall
0.8644
Per class
Relative absolute error
0.3309
Root mean prior squared error
0.4714
Root mean squared error
0.2759
Root relative squared error
0.5854
SciMark benchmark
927.9783[550.2336271358062991.7421763609668482.36378704342826891.6463134573591723.9057332468865]