DEVELOPMENT... OpenML
Run
109583

Run 109583

Task 3898 (Supervised Classification) kc1-top5 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
0.6656
Per class
Build CPU time
0.0164
Build memory
140577070.9517
F measure
0.9464
Per class
Kappa
0.4377
KB relative information score
43.5917
Mean absolute error
0.0549
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9442
Per class
Predictive accuracy
0.9517
Prior entropy
0.3323
Recall
0.9517
Per class
Relative absolute error
0.5009
Root mean prior squared error
0.2284
Root mean squared error
0.2182
Root relative squared error
0.9553
SciMark benchmark
919.5971