DEVELOPMENT... OpenML
Run
109176

Run 109176

Task 271 (Supervised Classification) soybean 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)_I40
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
0.9655
Per class
Build CPU time
0.049
Build memory
154519680
F measure
0.897
Per class
Kappa
0.8963
KB relative information score
197.6518
Mean absolute error
0.0139
Mean prior absolute error
0.0958
Number of instances
225
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9146
Per class
Predictive accuracy
0.9067
Prior entropy
3.8572
Recall
0.9067
Per class
Relative absolute error
0.1454
Root mean prior squared error
0.2185
Root mean squared error
0.0927
Root relative squared error
0.4242
SciMark benchmark
922.3661