Run
435592

Run 435592

Task 116 (Learning Curve) ionosphere 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
0.9526 ± 0.0332
Per class
F measure
0.9228 ± 0.0436
Per class
Kappa
0.831 ± 0.0966
KB relative information score
0.8034 ± 0.0866
Mean absolute error
0.0907 ± 0.0376
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9239 ± 0.0416
Per class
Predictive accuracy
0.9236 ± 0.0423
Prior entropy
0.9418 ± 0.0113
Recall
0.9236 ± 0.0423
Per class
Relative absolute error
0.1969 ± 0.0819
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.2561 ± 0.073
Root relative squared error
0.5339 ± 0.1523
SciMark benchmark
941.3619
UserCPU time millis
30
UserCPU time millis training
30