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Run
23451

Run 23451

Task 20 (Supervised Classification) mfeat-pixel Uploaded 25-06-2014 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)_I160
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.

17 Evaluation measures

Area under ROC curve
0.9922
Per class
F measure
0.977
Per class
Kappa
0.9744
KB relative information score
595.3417
Mean absolute error
0.1603
Mean prior absolute error
0.18
Number of instances
2000
Per class
Precision
0.9773
Per class
Predictive accuracy
0.977
Prior entropy
3.3219
Recall
0.977
Per class
Relative absolute error
0.8904
Root mean prior squared error
0.3
Root mean squared error
0.2725
Root relative squared error
0.9082