DEVELOPMENT... OpenML
Run
52904

Run 52904

Task 1740 (Learning Curve) soybean Uploaded 07-11-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9951 ± 0.0041
Per class
Build CPU time
5.1368
Build memory
801671264.2
F measure
0.9327 ± 0.029
Per class
Kappa
0.9262 ± 0.0314
KB relative information score
0.9203 ± 0.02
Mean absolute error
0.014 ± 0.0027
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.935 ± 0.0275
Per class
Predictive accuracy
0.9327 ± 0.0287
Prior entropy
3.8358 ± 0.0227
Recall
0.9327 ± 0.0287
Per class
Relative absolute error
0.1454 ± 0.028
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0752 ± 0.0132
Root relative squared error
0.3434 ± 0.0602
SciMark benchmark
942.4911