Run
504411

Run 504411

Task 10068 (Learning Curve) mc1 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
0.9355 ± 0.0794
Per class
F measure
0.9927 ± 0.0024
Per class
Kappa
0.3844 ± 0.2407
KB relative information score
-18113.4202 ± 421.6905
Mean absolute error
0.01 ± 0.0011
Mean prior absolute error
0.0144 ± 0.0004
Number of instances
9466
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9936 ± 0.0036
Per class
Predictive accuracy
0.9943 ± 0.0016
Prior entropy
0.0622
Recall
0.9943 ± 0.0016
Per class
Relative absolute error
0.6995 ± 0.0749
Root mean prior squared error
0.0845 ± 0.0027
Root mean squared error
0.0723 ± 0.009
Root relative squared error
0.8566 ± 0.1037
SciMark benchmark
914.23
UserCPU time millis
2550
UserCPU time millis testing
20
UserCPU time millis training
2530