Run
555426

Run 555426

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 14-04-2016 by Hugo Spee
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Flow

weka.LogitBoost_Bagging_IBk(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.IBk(7)_K5
weka.IBk(7)_W0
weka.IBk(7)_Xtrue
weka.IBk(7)_Atrue
weka.LogitBoost_Bagging_IBk(1)_P100
weka.LogitBoost_Bagging_IBk(1)_L-1.7976931348623157E308
weka.LogitBoost_Bagging_IBk(1)_H1.0
weka.LogitBoost_Bagging_IBk(1)_Z3.0
weka.LogitBoost_Bagging_IBk(1)_O1
weka.LogitBoost_Bagging_IBk(1)_E1
weka.LogitBoost_Bagging_IBk(1)_S1
weka.LogitBoost_Bagging_IBk(1)_I10
weka.LogitBoost_Bagging_IBk(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_IBk(3)_P100
weka.Bagging_IBk(3)_S1
weka.Bagging_IBk(3)_num-slots1
weka.Bagging_IBk(3)_I10
weka.Bagging_IBk(3)_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.

22 Evaluation measures

Area under ROC curve
0.9027
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8343
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.665
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9933.9313
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.166
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
0.8343
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8343
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8343
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3355
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3972
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7986
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1428.8731
UserCPU time millis
451203.125
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
451203.125
Cross-validation details (10-fold Crossvalidation)