Run
1673264

Run 1673264

Task 9909 (Supervised Classification) autoUniv-au1-1000 Uploaded 21-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_IBk(5)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.AdaBoostM1_IBk(5)_P100
weka.AdaBoostM1_IBk(5)_S1
weka.AdaBoostM1_IBk(5)_I10
weka.AdaBoostM1_IBk(5)_Wweka.classifiers.lazy.IBk

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
0.6027
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6633
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1288
Cross-validation details (10-fold Crossvalidation)
KB relative information score
55.9361
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3255
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6657
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.661
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.661
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8474
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5182
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1829
Cross-validation details (10-fold Crossvalidation)