DEVELOPMENT... OpenML
Run
137775

Run 137775

Task 2275 (Supervised Classification) meta_instanceincremental.arff 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)_I80
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
0.8721
Per class
Build CPU time
0.0379
Build memory
746790002.8108
F measure
0.8571
Per class
Kappa
0.6665
KB relative information score
45.3458
Mean absolute error
0.0767
Mean prior absolute error
0.2277
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
0.856
Per class
Predictive accuracy
0.8649
Prior entropy
1.3146
Recall
0.8649
Per class
Relative absolute error
0.3367
Root mean prior squared error
0.3317
Root mean squared error
0.2349
Root relative squared error
0.708
SciMark benchmark
927.1482