Run
424897

Run 424897

Task 261 (Supervised Classification) credit-g Uploaded 09-05-2015 by Joaquin Vanschoren
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Flow

weka.RealAdaBoost_DecisionStump(2)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_DecisionStump(2)_P100
weka.RealAdaBoost_DecisionStump(2)_H1.0
weka.RealAdaBoost_DecisionStump(2)_S1
weka.RealAdaBoost_DecisionStump(2)_I20
weka.RealAdaBoost_DecisionStump(2)_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
0.7776
Per class
Cross-validation details (33% Holdout set)
F measure
0.7401
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3664
Cross-validation details (33% Holdout set)
KB relative information score
78.4875
Cross-validation details (33% Holdout set)
Mean absolute error
0.3107
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4202
Cross-validation details (33% Holdout set)
Number of instances
330
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
0.7372
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7485
Cross-validation details (33% Holdout set)
Prior entropy
0.8818
Cross-validation details (33% Holdout set)
Recall
0.7485
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7395
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4583
Cross-validation details (33% Holdout set)
Root mean squared error
0.4131
Cross-validation details (33% Holdout set)
Root relative squared error
0.9015
Cross-validation details (33% Holdout set)
SciMark benchmark
929.0296
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)