Run
504401

Run 504401

Task 10054 (Learning Curve) jm1 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
0.7403 ± 0.0247
Per class
F measure
0.7743 ± 0.0106
Per class
Kappa
0.2035 ± 0.038
KB relative information score
592.7422 ± 27.847
Mean absolute error
0.2649 ± 0.0057
Mean prior absolute error
0.3121 ± 0.0003
Number of instances
10885
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7751 ± 0.0155
Per class
Predictive accuracy
0.8116 ± 0.0087
Prior entropy
0.7088
Recall
0.8116 ± 0.0087
Per class
Relative absolute error
0.8486 ± 0.0184
Root mean prior squared error
0.395 ± 0.0003
Root mean squared error
0.3709 ± 0.0066
Root relative squared error
0.9389 ± 0.0169
SciMark benchmark
914.23
UserCPU time millis
3360
UserCPU time millis testing
40
UserCPU time millis training
3320