DEVELOPMENT... OpenML
Run
109436

Run 109436

Task 3721 (Supervised Classification) bolts 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
0.7995
Per class
Build CPU time
0.0034
Build memory
1123823880.8
F measure
0.8234
Per class
Kappa
0.6089
KB relative information score
22.8748
Mean absolute error
0.1921
Mean prior absolute error
0.4571
Number of instances
40
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8229
Per class
Predictive accuracy
0.825
Prior entropy
0.9403
Recall
0.825
Per class
Relative absolute error
0.4202
Root mean prior squared error
0.477
Root mean squared error
0.408
Root relative squared error
0.8554
SciMark benchmark
907.4175