DEVELOPMENT... OpenML
Run
109365

Run 109365

Task 3612 (Supervised Classification) fri_c1_250_25 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)_I40
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
0.5752
Per class
Build CPU time
0.0235
Build memory
648539249.6
F measure
0.5814
Per class
Kappa
0.1492
KB relative information score
33.3623
Mean absolute error
0.4207
Mean prior absolute error
0.4897
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5837
Per class
Predictive accuracy
0.58
Prior entropy
0.9852
Recall
0.58
Per class
Relative absolute error
0.8591
Root mean prior squared error
0.4948
Root mean squared error
0.6452
Root relative squared error
1.304
SciMark benchmark
907.4175