Run
504429

Run 504429

Task 10085 (Learning Curve) sick Uploaded 02-01-2016 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
0.9914 ± 0.0137
Per class
F measure
0.9854 ± 0.0082
Per class
Kappa
0.8691 ± 0.076
KB relative information score
2851.2551 ± 33.1019
Mean absolute error
0.0215 ± 0.0059
Mean prior absolute error
0.1152 ± 0.0007
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9856 ± 0.0082
Per class
Predictive accuracy
0.9859 ± 0.0077
Prior entropy
0.3333
Recall
0.9859 ± 0.0077
Per class
Relative absolute error
0.1866 ± 0.0514
Root mean prior squared error
0.2398 ± 0.0014
Root mean squared error
0.098 ± 0.0202
Root relative squared error
0.4088 ± 0.0844
SciMark benchmark
925.5951
UserCPU time millis
350
UserCPU time millis training
350