DEVELOPMENT... OpenML
Run
137607

Run 137607

Task 3856 (Supervised Classification) kdd_ipums_la_97-small Uploaded 31-12-2014 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)_I160
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
0.9421
Per class
Build CPU time
57.4799
Build memory
972575029.2703
F measure
0.9325
Per class
Kappa
0.8563
KB relative information score
5927.1868
Mean absolute error
0.071
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
0.9343
Per class
Predictive accuracy
0.932
Prior entropy
0.9504
Recall
0.932
Per class
Relative absolute error
0.1523
Root mean prior squared error
0.4827
Root mean squared error
0.2554
Root relative squared error
0.5291
SciMark benchmark
927.1482