Run
550198

Run 550198

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 08-04-2016 by Hugo Spee
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Flow

weka.AdaBoostM1_Bagging_REPTree(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.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N5
weka.REPTree(15)_S1
weka.REPTree(15)_Ptrue
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.AdaBoostM1_Bagging_REPTree(1)_P100
weka.AdaBoostM1_Bagging_REPTree(1)_Qtrue
weka.AdaBoostM1_Bagging_REPTree(1)_S1
weka.AdaBoostM1_Bagging_REPTree(1)_I15
weka.AdaBoostM1_Bagging_REPTree(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_REPTree(18)_P100
weka.Bagging_REPTree(18)_S1
weka.Bagging_REPTree(18)_num-slots1
weka.Bagging_REPTree(18)_I15
weka.Bagging_REPTree(18)_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.

22 Evaluation measures

Area under ROC curve
0.981
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9591
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9172
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13728.0815
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0412
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_51, amd64, Windows 8.1, 6.3]
Precision
0.9591
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9591
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9591
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0833
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1994
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4009
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1434.6828
UserCPU time millis
57421.875
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1671.875
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
55750
Cross-validation details (10-fold Crossvalidation)