DEVELOPMENT... OpenML
Run
47760

Run 47760

Task 88 (Learning Curve) credit-approval Uploaded 05-11-2014 by Jason
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  • curves weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I10
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.9195 ± 0.0331
Per class
Build CPU time
0.0082
Build memory
2755956587.01
F measure
0.8548 ± 0.0366
Per class
Kappa
0.707 ± 0.0738
KB relative information score
0.6109 ± 0.0532
Mean absolute error
0.204 ± 0.0247
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8562 ± 0.0364
Per class
Predictive accuracy
0.8545 ± 0.0367
Prior entropy
0.9912 ± 0.0021
Recall
0.8545 ± 0.0367
Per class
Relative absolute error
0.4129 ± 0.05
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3247 ± 0.0355
Root relative squared error
0.6535 ± 0.0714
SciMark benchmark
1723.761