DEVELOPMENT... OpenML
Run
139335

Run 139335

Task 3887 (Supervised Classification) analcatdata_germangss 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
0.9622
Per class
Build CPU time
0.0205
Build memory
182132070.4
F measure
0.9193
Per class
Kappa
0.7669
KB relative information score
289.5523
Mean absolute error
0.0848
Mean prior absolute error
0.3495
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9189
Per class
Predictive accuracy
0.92
Prior entropy
0.7716
Recall
0.92
Per class
Relative absolute error
0.2426
Root mean prior squared error
0.4176
Root mean squared error
0.2575
Root relative squared error
0.6165
SciMark benchmark
907.1899