OpenML
67242

Run 67242

Task 3917 (Supervised Classification) kc1 Uploaded 30-11-2014 by Joaquin Vanschoren
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Flow

weka.RealAdaBoost_Logistic(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.Logistic(2)_M-1
weka.Logistic(2)_R1.0E-8
weka.RealAdaBoost_Logistic(1)_P100
weka.RealAdaBoost_Logistic(1)_H1.0
weka.RealAdaBoost_Logistic(1)_S1
weka.RealAdaBoost_Logistic(1)_I10
weka.RealAdaBoost_Logistic(1)_Wweka.classifiers.functions.Logistic

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.

21 Evaluation measures

Area under ROC curve
0.8006
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.5294
Cross-validation details (10-fold Crossvalidation)
Build memory
126605712.1024
Cross-validation details (10-fold Crossvalidation)
F measure
0.8281
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2652
Cross-validation details (10-fold Crossvalidation)
KB relative information score
156.7945
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2065
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2616
Cross-validation details (10-fold Crossvalidation)
Number of instances
2109
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8296
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8563
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.622
Cross-validation details (10-fold Crossvalidation)
Recall
0.8563
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7894
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3615
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3282
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9078
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
935.778