DEVELOPMENT... OpenML
Run
136450

Run 136450

Task 3917 (Supervised Classification) kc1 Uploaded 31-12-2014 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)_I80
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
0.7409
Per class
Build CPU time
3.8952
Build memory
118093365.2764
F measure
0.834
Per class
Kappa
0.3241
KB relative information score
523.1195
Mean absolute error
0.1611
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8275
Per class
Predictive accuracy
0.8464
Prior entropy
0.622
Recall
0.8464
Per class
Relative absolute error
0.6159
Root mean prior squared error
0.3615
Root mean squared error
0.3789
Root relative squared error
1.0481
SciMark benchmark
877.9084