Run
435630

Run 435630

Task 88 (Learning Curve) credit-approval Uploaded 12-05-2015 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)_I80
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
0.9274 ± 0.0328
Per class
F measure
0.8592 ± 0.0377
Per class
Kappa
0.715 ± 0.076
KB relative information score
0.6487 ± 0.0586
Mean absolute error
0.1811 ± 0.0276
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8592 ± 0.0374
Per class
Predictive accuracy
0.8591 ± 0.0377
Prior entropy
0.9912 ± 0.0021
Recall
0.8591 ± 0.0377
Per class
Relative absolute error
0.3667 ± 0.0559
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3181 ± 0.0402
Root relative squared error
0.6402 ± 0.0809
SciMark benchmark
913.9348
UserCPU time millis
20
UserCPU time millis training
20