DEVELOPMENT... OpenML
Run
19341

Run 19341

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 12-06-2014 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
0.9762
Per class
F measure
0.9546
Per class
Kappa
0.9494
KB relative information score
1904.8366
Mean absolute error
0.0091
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9548
Per class
Predictive accuracy
0.9545
Prior entropy
3.3219
Recall
0.9545
Per class
Relative absolute error
0.0506
Root mean prior squared error
0.3
Root mean squared error
0.0954
Root relative squared error
0.3178
SciMark benchmark
941.6316[556.37660137353131014.1868590421574481.28276544297296906.44537908266061749.866600582726]