Run
435616

Run 435616

Task 72 (Learning Curve) breast-cancer 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
0.6433 ± 0.0991
Per class
F measure
0.6831 ± 0.0777
Per class
Kappa
0.2158 ± 0.1839
KB relative information score
0.1023 ± 0.1182
Mean absolute error
0.3629 ± 0.0407
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6773 ± 0.0907
Per class
Predictive accuracy
0.7 ± 0.0754
Prior entropy
0.8779 ± 0.0199
Recall
0.7 ± 0.0754
Per class
Relative absolute error
0.8676 ± 0.0941
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.459 ± 0.0433
Root relative squared error
1.0044 ± 0.0923
SciMark benchmark
943.7881