DEVELOPMENT... OpenML
Run
135680

Run 135680

Task 3770 (Supervised Classification) chscase_census4 Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.4491
Per class
Build CPU time
0.0058
Build memory
1982021744
F measure
0.4496
Per class
Kappa
-0.102
KB relative information score
-40.5687
Mean absolute error
0.55
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
0.4495
Per class
Predictive accuracy
0.45
Prior entropy
0.9994
Recall
0.45
Per class
Relative absolute error
1.101
Root mean prior squared error
0.4998
Root mean squared error
0.7416
Root relative squared error
1.4839
SciMark benchmark
934.6076

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