Run
504381

Run 504381

Task 1714 (Learning Curve) breast-w 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
0.9863 ± 0.0105
Per class
F measure
0.9557 ± 0.0217
Per class
Kappa
0.9021 ± 0.0475
KB relative information score
584.8747 ± 3.023
Mean absolute error
0.0793 ± 0.0186
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9558 ± 0.0213
Per class
Predictive accuracy
0.9557 ± 0.0217
Prior entropy
0.9297
Recall
0.9557 ± 0.0217
Per class
Relative absolute error
0.1755 ± 0.0411
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1916 ± 0.044
Root relative squared error
0.4031 ± 0.0923
SciMark benchmark
869.4058
UserCPU time millis
20
UserCPU time millis training
20