DEVELOPMENT... OpenML
Run
133991

Run 133991

Task 3881 (Supervised Classification) ipums_la_99-small Uploaded 28-12-2014 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)_I10
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
0.6326
Per class
Build CPU time
18.581
Build memory
769631194.6866
F measure
0.9138
Per class
Kappa
0.1206
KB relative information score
-87.5722
Mean absolute error
0.0776
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
0.9166
Per class
Predictive accuracy
0.937
Prior entropy
0.3444
Recall
0.937
Per class
Relative absolute error
0.6451
Root mean prior squared error
0.2452
Root mean squared error
0.2404
Root relative squared error
0.9806
SciMark benchmark
946.9091