Run
504398

Run 504398

Task 10051 (Learning Curve) gina_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
0.9717 ± 0.0081
Per class
F measure
0.9123 ± 0.0126
Per class
Kappa
0.8247 ± 0.0252
KB relative information score
2428.6482 ± 6.6259
Mean absolute error
0.1651 ± 0.0092
Mean prior absolute error
0.4999 ± 0
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9125 ± 0.0128
Per class
Predictive accuracy
0.9123 ± 0.0126
Prior entropy
0.9998
Recall
0.9123 ± 0.0126
Per class
Relative absolute error
0.3303 ± 0.0184
Root mean prior squared error
0.4999 ± 0
Root mean squared error
0.258 ± 0.0144
Root relative squared error
0.5162 ± 0.0288
SciMark benchmark
903.7858
UserCPU time millis
25340
UserCPU time millis testing
10
UserCPU time millis training
25330