DEVELOPMENT... OpenML
Run
109809

Run 109809

Task 3059 (Supervised Classification) pasture 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)_I80
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
0.8286
Per class
Build CPU time
0.011
Build memory
161254520
F measure
0.7491
Per class
Kappa
0.5658
KB relative information score
6.4524
Mean absolute error
0.21
Mean prior absolute error
0.4444
Number of instances
11
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8182
Per class
Predictive accuracy
0.7273
Prior entropy
1.585
Recall
0.7273
Per class
Relative absolute error
0.4724
Root mean prior squared error
0.4714
Root mean squared error
0.4061
Root relative squared error
0.8614
SciMark benchmark
943.4039