Run
427055

Run 427055

Task 4410 (Supervised Classification) autoHorse 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)_I40
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
0.9921
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9565
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9095
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1820.7562
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0552
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4821
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2050
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9566
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9566
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9742
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9566
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1145
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4909
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1857
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.3783
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
894.7131
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)