Run
456563

Run 456563

Task 4293 (Supervised Classification) pol Uploaded 24-06-2015 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
0.9863
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9408
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8678
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
123303.5824
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0811
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4463
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
150000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9411
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9407
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.921
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9407
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1818
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4724
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.211
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.4468
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
974.2014
UserCPU time millis
1510
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
1490
Cross-validation details (10 times 10-fold Crossvalidation)