DEVELOPMENT... OpenML
Run
153563

Run 153563

Task 215 (Supervised Classification) BNG(ionosphere) Uploaded 10-02-2015 by Felicia West
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Flow

weka.RealAdaBoost_DecisionStump(1)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(1)_P100
weka.RealAdaBoost_DecisionStump(1)_H1.0
weka.RealAdaBoost_DecisionStump(1)_S1
weka.RealAdaBoost_DecisionStump(1)_I10
weka.RealAdaBoost_DecisionStump(1)_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
0.9503
Per class
F measure
0.8924
Per class
Kappa
0.7641
KB relative information score
691656.2701
Mean absolute error
0.1485
Mean prior absolute error
0.4602
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8935
Per class
Predictive accuracy
0.8937
Prior entropy
0.9418
Recall
0.8937
Per class
Relative absolute error
0.3227
Root mean prior squared error
0.4797
Root mean squared error
0.2818
Root relative squared error
0.5874
SciMark benchmark
940.2922
UserCPU time millis
24240
UserCPU time millis testing
1710
UserCPU time millis training
22530