Run
504386

Run 504386

Task 1742 (Learning Curve) spambase 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
0.9795 ± 0.0065
Per class
F measure
0.9425 ± 0.0148
Per class
Kappa
0.8794 ± 0.0312
KB relative information score
3656.3464 ± 10.8106
Mean absolute error
0.107 ± 0.0104
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9425 ± 0.0148
Per class
Predictive accuracy
0.9426 ± 0.0148
Prior entropy
0.9674
Recall
0.9426 ± 0.0148
Per class
Relative absolute error
0.224 ± 0.0219
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2174 ± 0.0211
Root relative squared error
0.4449 ± 0.0434
SciMark benchmark
869.4058
UserCPU time millis
2330
UserCPU time millis testing
10
UserCPU time millis training
2320