DEVELOPMENT... OpenML
Run
110189

Run 110189

Task 241 (Supervised Classification) balance-scale 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
0.9086
Per class
Build CPU time
0.038
Build memory
479826616
F measure
0.7759
Per class
Kappa
0.6559
KB relative information score
116.7528
Mean absolute error
0.1524
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7626
Per class
Predictive accuracy
0.8058
Prior entropy
1.3212
Recall
0.8058
Per class
Relative absolute error
0.395
Root mean prior squared error
0.4424
Root mean squared error
0.2979
Root relative squared error
0.6735
SciMark benchmark
945.5885