Run
504383

Run 504383

Task 1728 (Learning Curve) credit-approval Uploaded 01-01-2016 by Joaquin Vanschoren
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Flow

weka.Bagging_REPTree(17)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.Bagging_REPTree(17)_P100
weka.Bagging_REPTree(17)_S1
weka.Bagging_REPTree(17)_num-slots1
weka.Bagging_REPTree(17)_I10
weka.Bagging_REPTree(17)_Wweka.classifiers.trees.REPTree

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.

22 Evaluation measures

Area under ROC curve
0.9199 ± 0.0434
Per class
F measure
0.8655 ± 0.0443
Per class
Kappa
0.7283 ± 0.0897
KB relative information score
428.0029 ± 4.6526
Mean absolute error
0.1996 ± 0.0314
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8663 ± 0.0445
Per class
Predictive accuracy
0.8652 ± 0.0443
Prior entropy
0.9913
Recall
0.8652 ± 0.0443
Per class
Relative absolute error
0.4041 ± 0.0636
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3216 ± 0.0468
Root relative squared error
0.647 ± 0.0944
SciMark benchmark
869.4058
UserCPU time millis
30
UserCPU time millis training
30