DEVELOPMENT... OpenML
Run
133359

Run 133359

Task 3856 (Supervised Classification) kdd_ipums_la_97-small Uploaded 27-12-2014 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)_I20
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
0.9776
Per class
Build CPU time
53.8297
Build memory
1440274032.0718
F measure
0.9599
Per class
Kappa
0.9149
KB relative information score
5558.1497
Mean absolute error
0.1096
Mean prior absolute error
0.466
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9628
Per class
Predictive accuracy
0.9595
Prior entropy
0.9504
Recall
0.9595
Per class
Relative absolute error
0.2352
Root mean prior squared error
0.4827
Root mean squared error
0.2052
Root relative squared error
0.4251
SciMark benchmark
943.8094