DEVELOPMENT... OpenML
Run
110208

Run 110208

Task 270 (Supervised Classification) glass 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
0.774
Per class
Build CPU time
0.022
Build memory
564940944
F measure
0.6633
Per class
Kappa
0.5446
KB relative information score
39.3604
Mean absolute error
0.1048
Mean prior absolute error
0.2127
Number of instances
70
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6946
Per class
Predictive accuracy
0.6571
Prior entropy
2.2315
Recall
0.6571
Per class
Relative absolute error
0.4926
Root mean prior squared error
0.3261
Root mean squared error
0.3061
Root relative squared error
0.9386
SciMark benchmark
943.4039