Run
276560

Run 276560

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 06-03-2015 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)_I20
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
0.8689
Per class
Cross-validation details (33% Holdout set)
F measure
0.787
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4872
Cross-validation details (33% Holdout set)
KB relative information score
7.437
Cross-validation details (33% Holdout set)
Mean absolute error
0.1198
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
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
0.8076
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7917
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.7917
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.5327
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.2936
Cross-validation details (33% Holdout set)
Root relative squared error
0.9488
Cross-validation details (33% Holdout set)
SciMark benchmark
937.1527
UserCPU time millis
50
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
40
Cross-validation details (33% Holdout set)