Run
231557

Run 231557

Task 3834 (Supervised Classification) mfeat-fourier Uploaded 02-03-2015 by Joaquin Vanschoren
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Flow

weka.LogitBoost_DecisionStump(3)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(3)_P100
weka.LogitBoost_DecisionStump(3)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(3)_H1.0
weka.LogitBoost_DecisionStump(3)_Z3.0
weka.LogitBoost_DecisionStump(3)_O1
weka.LogitBoost_DecisionStump(3)_E1
weka.LogitBoost_DecisionStump(3)_S1
weka.LogitBoost_DecisionStump(3)_I160
weka.LogitBoost_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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
0.995
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.999
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9944
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1979.6314
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.001
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1803
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.999
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.999
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10-fold Crossvalidation)
Recall
0.999
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0058
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0316
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1055
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1324.8395
UserCPU time millis
5120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
5120
Cross-validation details (10-fold Crossvalidation)