OpenML
21505

Run 21505

Task 22 (Supervised Classification) mfeat-zernike Uploaded 19-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_IBk(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_IBk(1)_I160
weka.AdaBoostM1_IBk(1)_P100
weka.AdaBoostM1_IBk(1)_S1
weka.AdaBoostM1_IBk(1)_Wweka.classifiers.lazy.IBk
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

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
0.8827
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7912
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7661
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1556.424
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0429
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
0.7938
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7895
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7895
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2381
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2046
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6821
Cross-validation details (10-fold Crossvalidation)