OpenML
17953

Run 17953

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 09-06-2014 by Joaquin Vanschoren
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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)_I10
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
0.985
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9596
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.955
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1919.1715
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.008
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9599
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9595
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9595
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0443
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0874
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2912
Cross-validation details (10-fold Crossvalidation)