DEVELOPMENT... OpenML
Run
134204

Run 134204

Task 2273 (Supervised Classification) meta_batchincremental.arff 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
0.6097
Per class
Build CPU time
0.0013
Build memory
564387888.8649
F measure
0.6023
Per class
Kappa
0.1715
KB relative information score
12.4483
Mean absolute error
0.1892
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.588
Per class
Predictive accuracy
0.6216
Prior entropy
1.3842
Recall
0.6216
Per class
Relative absolute error
0.751
Root mean prior squared error
0.3504
Root mean squared error
0.435
Root relative squared error
1.2412
SciMark benchmark
939.084