Run
214303

Run 214303

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 28-02-2015 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)_I10
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
0.7358
Per class
Cross-validation details (33% Holdout set)
F measure
0.5988
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3143
Cross-validation details (33% Holdout set)
KB relative information score
7.2951
Cross-validation details (33% Holdout set)
Mean absolute error
0.212
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2983
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5993
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.625
Cross-validation details (33% Holdout set)
Prior entropy
1.5899
Cross-validation details (33% Holdout set)
Recall
0.625
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7107
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3886
Cross-validation details (33% Holdout set)
Root mean squared error
0.4229
Cross-validation details (33% Holdout set)
Root relative squared error
1.0884
Cross-validation details (33% Holdout set)
SciMark benchmark
895.5332
UserCPU time millis
20
Cross-validation details (33% Holdout set)
UserCPU time millis training
20
Cross-validation details (33% Holdout set)