DEVELOPMENT... OpenML
Run
137212

Run 137212

Task 3054 (Supervised Classification) monks-problems-2 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
0.6706
Per class
Build CPU time
0.119
Build memory
214302320
F measure
0.6491
Per class
Kappa
0.2361
KB relative information score
35.2894
Mean absolute error
0.3743
Mean prior absolute error
0.4588
Number of instances
198
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6464
Per class
Predictive accuracy
0.6566
Prior entropy
0.9279
Recall
0.6566
Per class
Relative absolute error
0.8158
Root mean prior squared error
0.4831
Root mean squared error
0.5232
Root relative squared error
1.083
SciMark benchmark
943.1873