Run
435575

Run 435575

Task 98 (Learning Curve) sonar 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)_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
0.8885 ± 0.0727
Per class
F measure
0.7985 ± 0.0843
Per class
Kappa
0.5948 ± 0.1665
KB relative information score
0.5797 ± 0.1435
Mean absolute error
0.2113 ± 0.0702
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7992 ± 0.0817
Per class
Predictive accuracy
0.799 ± 0.0824
Prior entropy
0.9967 ± 0.0043
Recall
0.799 ± 0.0824
Per class
Relative absolute error
0.4245 ± 0.141
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.3961 ± 0.0865
Root relative squared error
0.794 ± 0.1735
SciMark benchmark
913.9348
UserCPU time millis
40
UserCPU time millis training
40