Run
6048164

Run 6048164

Task 2076 (Supervised Classification) kropt Uploaded 26-07-2017 by Miguel Cachada
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weka.AdaBoostM1_J48(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.J48(38)_Otrue
weka.J48(38)_C0.08311397
weka.J48(38)_M1
weka.J48(38)_Atrue
weka.AdaBoostM1_J48(5)_P98
weka.AdaBoostM1_J48(5)_Qtrue
weka.AdaBoostM1_J48(5)_S1
weka.AdaBoostM1_J48(5)_I75
weka.AdaBoostM1_J48(5)_Wweka.classifiers.trees.J48

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.

22 Evaluation measures

Area under ROC curve
0.9315 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6621 ± 0.0127
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6243 ± 0.0143
Cross-validation details (10-fold Crossvalidation)
KB relative information score
18517.9978 ± 31.2658
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0378 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0995 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
28056
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.6619 ± 0.0124
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6641 ± 0.0128
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.6641 ± 0.0128
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3798 ± 0.0124
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1826 ± 0.0033
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8187 ± 0.0146
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1853.296
UserCPU time millis
15710
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
3290
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
12420
Cross-validation details (10-fold Crossvalidation)