DEVELOPMENT... OpenML
Run
135186

Run 135186

Task 3881 (Supervised Classification) ipums_la_99-small 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)_I20
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
0.5443
Per class
Build CPU time
1.4535
Build memory
2486445133.9114
F measure
0.9123
Per class
Kappa
0.1051
KB relative information score
2169.456
Mean absolute error
0.064
Mean prior absolute error
0.1203
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9122
Per class
Predictive accuracy
0.936
Prior entropy
0.3444
Recall
0.936
Per class
Relative absolute error
0.5319
Root mean prior squared error
0.2452
Root mean squared error
0.2524
Root relative squared error
1.0296
SciMark benchmark
939.084