DEVELOPMENT... OpenML
Run
110729

Run 110729

Task 3881 (Supervised Classification) ipums_la_99-small Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I160
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.5719
Per class
Build CPU time
27.3777
Build memory
297953338.4487
F measure
0.9011
Per class
Kappa
0.1522
KB relative information score
-1153.4422
Mean absolute error
0.096
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
0.8982
Per class
Predictive accuracy
0.9041
Prior entropy
0.3444
Recall
0.9041
Per class
Relative absolute error
0.798
Root mean prior squared error
0.2452
Root mean squared error
0.3096
Root relative squared error
1.2629
SciMark benchmark
925.481