DEVELOPMENT... OpenML
Run
135363

Run 135363

Task 1805 (Supervised Classification) soybean Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9282
Per class
Build CPU time
0.0759
Build memory
2666452285.887
F measure
0.8494
Per class
Kappa
0.8338
KB relative information score
2848.1751
Mean absolute error
0.018
Mean prior absolute error
0.0961
Number of instances
3415
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8564
Per class
Predictive accuracy
0.8486
Prior entropy
3.8572
Recall
0.8486
Per class
Relative absolute error
0.1872
Root mean prior squared error
0.2191
Root mean squared error
0.1234
Root relative squared error
0.5631
SciMark benchmark
946.9091