DEVELOPMENT... OpenML
Run
139041

Run 139041

Task 3544 (Supervised Classification) analcatdata_broadwaymult Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I20
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.473
Per class
Build CPU time
0.0018
Build memory
1282601019.4526
F measure
0.2425
Per class
KB relative information score
1.1307
Mean absolute error
0.2197
Mean prior absolute error
0.2203
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1714
Per class
Predictive accuracy
0.414
Prior entropy
2.4897
Recall
0.414
Per class
Relative absolute error
0.9975
Root mean prior squared error
0.3314
Root mean squared error
0.3315
Root relative squared error
1.0002
SciMark benchmark
941.7891