DEVELOPMENT... OpenML
Run
137188

Run 137188

Task 2355 (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)_I160
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
0.9539
Per class
Build CPU time
0.015
Build memory
227148232
F measure
0.9002
Per class
Kappa
0.7534
KB relative information score
16.9612
Mean absolute error
0.0765
Mean prior absolute error
0.2324
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9333
Per class
Predictive accuracy
0.875
Prior entropy
1.3146
Recall
0.875
Per class
Relative absolute error
0.3291
Root mean prior squared error
0.3388
Root mean squared error
0.2037
Root relative squared error
0.6012
SciMark benchmark
940.572