DEVELOPMENT... OpenML
Run
134598

Run 134598

Task 3901 (Supervised Classification) jEdit_4.2_4.3 Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomTree(2)_I10
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.6114
Per class
Build CPU time
0.004
Build memory
992551552
F measure
0.6154
Per class
Kappa
0.2226
KB relative information score
80.3867
Mean absolute error
0.3848
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
0.6156
Per class
Predictive accuracy
0.6152
Prior entropy
0.992
Recall
0.6152
Per class
Relative absolute error
0.7783
Root mean prior squared error
0.4972
Root mean squared error
0.6203
Root relative squared error
1.2477
SciMark benchmark
946.9091