DEVELOPMENT... OpenML
Run
124565

Run 124565

Task 1805 (Supervised Classification) soybean Uploaded 24-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_DecisionStump(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_LWL_DecisionStump(2)_I10
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.974
Per class
Build CPU time
4.3548
Build memory
84740454.4258
F measure
0.8438
Per class
Kappa
0.829
KB relative information score
2306.8927
Mean absolute error
0.0507
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
0.8605
Per class
Predictive accuracy
0.8448
Prior entropy
3.8572
Recall
0.8448
Per class
Relative absolute error
0.5274
Root mean prior squared error
0.2191
Root mean squared error
0.1343
Root relative squared error
0.6128
SciMark benchmark
937.9119