DEVELOPMENT... OpenML
Run
51035

Run 51035

Task 1723 (Learning Curve) mushroom Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(2)_I10
weka.Bagging_DecisionStump(2)_P100
weka.Bagging_DecisionStump(2)_S1
weka.Bagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(2)_num-slots1

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
0.8843 ± 0.0144
Per class
Build CPU time
0.0125
Build memory
769861843.7333
F measure
0.8863 ± 0.0149
Per class
Kappa
0.7746 ± 0.0292
KB relative information score
0.6506 ± 0.0234
Mean absolute error
0.1914 ± 0.0109
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8985 ± 0.0128
Per class
Predictive accuracy
0.8868 ± 0.0148
Prior entropy
0.9991 ± 0.0001
Recall
0.8868 ± 0.0148
Per class
Relative absolute error
0.3834 ± 0.0218
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.3093 ± 0.0174
Root relative squared error
0.6189 ± 0.0349
SciMark benchmark
1633.1623