DEVELOPMENT... OpenML
Run
110412

Run 110412

Task 3592 (Supervised Classification) fri_c2_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)_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
0.7875
Per class
Build CPU time
0.0189
Build memory
363345886.4
F measure
0.7991
Per class
Kappa
0.5798
KB relative information score
56.5988
Mean absolute error
0.2065
Mean prior absolute error
0.4804
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
0.7988
Per class
Predictive accuracy
0.8
Prior entropy
0.9721
Recall
0.8
Per class
Relative absolute error
0.4299
Root mean prior squared error
0.4899
Root mean squared error
0.4425
Root relative squared error
0.9032
SciMark benchmark
936.1433