DEVELOPMENT... OpenML
Run
139235

Run 139235

Task 3770 (Supervised Classification) chscase_census4 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
0.4914
Per class
Build CPU time
0.0759
Build memory
1047119986.4
F measure
0.4976
Per class
Kappa
-0.0045
KB relative information score
-1.0887
Mean absolute error
0.5019
Mean prior absolute error
0.4996
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
0.4982
Per class
Predictive accuracy
0.4975
Prior entropy
0.9994
Recall
0.4975
Per class
Relative absolute error
1.0047
Root mean prior squared error
0.4998
Root mean squared error
0.6263
Root relative squared error
1.2533
SciMark benchmark
947.2691