Run
504402

Run 504402

Task 10055 (Learning Curve) kc1 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
0.805 ± 0.0531
Per class
F measure
0.8277 ± 0.0209
Per class
Kappa
0.2627 ± 0.0906
KB relative information score
179.0975 ± 20.0594
Mean absolute error
0.2028 ± 0.0147
Mean prior absolute error
0.2616 ± 0.0016
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8295 ± 0.0294
Per class
Predictive accuracy
0.8563 ± 0.0158
Prior entropy
0.622
Recall
0.8563 ± 0.0158
Per class
Relative absolute error
0.7754 ± 0.0548
Root mean prior squared error
0.3615 ± 0.0023
Root mean squared error
0.3262 ± 0.0168
Root relative squared error
0.9024 ± 0.045
SciMark benchmark
914.23
UserCPU time millis
350
UserCPU time millis testing
10
UserCPU time millis training
340