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Run
22329

Run 22329

Task 14 (Supervised Classification) mfeat-fourier Uploaded 21-06-2014 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
0.9416
Per class
F measure
0.8371
Per class
Kappa
0.8178
KB relative information score
1663.2322
Mean absolute error
0.0329
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
0.8387
Per class
Predictive accuracy
0.836
Prior entropy
3.3219
Recall
0.836
Per class
Relative absolute error
0.183
Root mean prior squared error
0.3
Root mean squared error
0.1779
Root relative squared error
0.593
SciMark benchmark
946.2362[566.12807181085051014.4538012229739483.23216931738307912.43991219425081754.9271701211055]