DEVELOPMENT... OpenML
Run
154011

Run 154011

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.6639
Per class
F measure
0.6427
Per class
Kappa
0.2904
KB relative information score
50.5296
Mean absolute error
0.4333
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6541
Per class
Predictive accuracy
0.6423
Prior entropy
0.992
Recall
0.6423
Per class
Relative absolute error
0.8763
Root mean prior squared error
0.4972
Root mean squared error
0.4849
Root relative squared error
0.9753
SciMark benchmark
932.3943

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