Run
554742

Run 554742

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 11-04-2016 by Hugo Spee
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Flow

weka.LogitBoost_Bagging_RandomForest(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.RandomForest(9)_I50
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.LogitBoost_Bagging_RandomForest(1)_P100
weka.LogitBoost_Bagging_RandomForest(1)_L-1.7976931348623157E308
weka.LogitBoost_Bagging_RandomForest(1)_H1.0
weka.LogitBoost_Bagging_RandomForest(1)_Z3.0
weka.LogitBoost_Bagging_RandomForest(1)_O1
weka.LogitBoost_Bagging_RandomForest(1)_E1
weka.LogitBoost_Bagging_RandomForest(1)_S1
weka.LogitBoost_Bagging_RandomForest(1)_I10
weka.LogitBoost_Bagging_RandomForest(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_RandomForest(10)_P100
weka.Bagging_RandomForest(10)_S1
weka.Bagging_RandomForest(10)_num-slots1
weka.Bagging_RandomForest(10)_I10
weka.Bagging_RandomForest(10)_Wweka.classifiers.trees.RandomForest

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
0.9919
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9553
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9095
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13315.4557
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0575
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
0.9555
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9553
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9553
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1162
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1847
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3713
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1426.2874
UserCPU time millis
378234.375
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
15.625
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
378218.75
Cross-validation details (10-fold Crossvalidation)