Run
504390

Run 504390

Task 10042 (Learning Curve) ada_prior 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
0.8655 ± 0.0314
Per class
F measure
0.8162 ± 0.0292
Per class
Kappa
0.4942 ± 0.077
KB relative information score
1634.7305 ± 27.956
Mean absolute error
0.2296 ± 0.0176
Mean prior absolute error
0.3732 ± 0.0004
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.814 ± 0.0303
Per class
Predictive accuracy
0.822 ± 0.0297
Prior entropy
0.8085
Recall
0.822 ± 0.0297
Per class
Relative absolute error
0.6152 ± 0.0468
Root mean prior squared error
0.4319 ± 0.0005
Root mean squared error
0.3505 ± 0.0239
Root relative squared error
0.8116 ± 0.0549
SciMark benchmark
869.4058
UserCPU time millis
350
UserCPU time millis testing
20
UserCPU time millis training
330