DEVELOPMENT... OpenML
Run
118431

Run 118431

Task 41 (Supervised Classification) soybean Uploaded 10-12-2014 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
0.9952
Per class
Build CPU time
13.6408
Build memory
133752377.9327
F measure
0.9355
Per class
Kappa
0.9294
KB relative information score
631.1917
Mean absolute error
0.0127
Mean prior absolute error
0.0961
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
0.9362
Per class
Predictive accuracy
0.9356
Prior entropy
3.8572
Recall
0.9356
Per class
Relative absolute error
0.1326
Root mean prior squared error
0.2191
Root mean squared error
0.0707
Root relative squared error
0.3228
SciMark benchmark
945.0532