DEVELOPMENT... OpenML
Run
67521

Run 67521

Task 3901 (Supervised Classification) jEdit_4.2_4.3 Uploaded 30-11-2014 by Felicia West
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Flow

weka.RealAdaBoost_RandomTree(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.RealAdaBoost_RandomTree(1)_P100
weka.RealAdaBoost_RandomTree(1)_H1.0
weka.RealAdaBoost_RandomTree(1)_S1
weka.RealAdaBoost_RandomTree(1)_I10
weka.RealAdaBoost_RandomTree(1)_Wweka.classifiers.trees.RandomTree

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.

21 Evaluation measures

Area under ROC curve
0.6808
Per class
Build CPU time
0.0399
Build memory
381955041.3008
F measure
0.6588
Per class
Kappa
0.308
KB relative information score
107.1802
Mean absolute error
0.3497
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
0.6592
Per class
Predictive accuracy
0.6612
Prior entropy
0.992
Recall
0.6612
Per class
Relative absolute error
0.7072
Root mean prior squared error
0.4972
Root mean squared error
0.5711
Root relative squared error
1.1487
SciMark benchmark
943.1777