DEVELOPMENT... OpenML
Run
139939

Run 139939

Task 3898 (Supervised Classification) kc1-top5 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)_I10
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
0.8335
Per class
Build CPU time
0.036
Build memory
482073219.2552
F measure
0.9264
Per class
Kappa
0.2503
KB relative information score
1.5528
Mean absolute error
0.0743
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9224
Per class
Predictive accuracy
0.931
Prior entropy
0.3323
Recall
0.931
Per class
Relative absolute error
0.6773
Root mean prior squared error
0.2284
Root mean squared error
0.2593
Root relative squared error
1.1354
SciMark benchmark
940.159