DEVELOPMENT... OpenML
Run
131569

Run 131569

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 26-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I160
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.838
Per class
Build CPU time
2.8063
Build memory
265748753.8619
F measure
0.8524
Per class
Kappa
0.0595
KB relative information score
-1577.5574
Mean absolute error
0.1569
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8662
Per class
Predictive accuracy
0.8957
Prior entropy
0.4871
Recall
0.8957
Per class
Relative absolute error
0.8297
Root mean prior squared error
0.3074
Root mean squared error
0.2837
Root relative squared error
0.9227
SciMark benchmark
873.8637