DEVELOPMENT... OpenML
Run
110414

Run 110414

Task 3597 (Supervised Classification) baskball 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
0.6303
Per class
Build CPU time
0.0127
Build memory
47820383.6667
F measure
0.6247
Per class
Kappa
0.251
KB relative information score
23.5615
Mean absolute error
0.3778
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6265
Per class
Predictive accuracy
0.625
Prior entropy
0.9997
Recall
0.625
Per class
Relative absolute error
0.756
Root mean prior squared error
0.4999
Root mean squared error
0.6055
Root relative squared error
1.2113
SciMark benchmark
942.5053