OpenML
1810403

Run 1810403

Task 9981 (Supervised Classification) cnae-9 Uploaded 27-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_REPTree(4)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.AdaBoostM1_REPTree(4)_P100
weka.AdaBoostM1_REPTree(4)_S1
weka.AdaBoostM1_REPTree(4)_I10
weka.AdaBoostM1_REPTree(4)_Wweka.classifiers.trees.REPTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9821
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8645
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8458
Cross-validation details (10-fold Crossvalidation)
KB relative information score
910.5536
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.043
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1975
Cross-validation details (10-fold Crossvalidation)
Number of instances
1080
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8689
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.863
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.1699
Cross-validation details (10-fold Crossvalidation)
Recall
0.863
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2176
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3143
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1449
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4611
Cross-validation details (10-fold Crossvalidation)