DEVELOPMENT... OpenML
Run
110029

Run 110029

Task 3779 (Supervised Classification) fri_c3_100_5 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)_I80
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
0.767
Per class
Build CPU time
0.0107
Build memory
233019407.2
F measure
0.7763
Per class
Kappa
0.5447
KB relative information score
54.1759
Mean absolute error
0.2261
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7832
Per class
Predictive accuracy
0.78
Prior entropy
0.99
Recall
0.78
Per class
Relative absolute error
0.4586
Root mean prior squared error
0.4964
Root mean squared error
0.464
Root relative squared error
0.9348
SciMark benchmark
945.0554