DEVELOPMENT... OpenML
Run
110191

Run 110191

Task 244 (Supervised Classification) mfeat-fourier 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
0.8888
Per class
Build CPU time
1.216
Build memory
117305984
F measure
0.8004
Per class
Kappa
0.7776
KB relative information score
520.4686
Mean absolute error
0.041
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8053
Per class
Predictive accuracy
0.8
Prior entropy
3.3219
Recall
0.8
Per class
Relative absolute error
0.228
Root mean prior squared error
0.3
Root mean squared error
0.1993
Root relative squared error
0.6642
SciMark benchmark
943.4039