Run
516647

Run 516647

Task 10052 (Learning Curve) hiva_agnostic Uploaded 29-01-2016 by Joaquin Vanschoren
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Flow

weka.BFTree(4)Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
weka.BFTree(4)_PPOSTPRUNED
weka.BFTree(4)_M2
weka.BFTree(4)_N5
weka.BFTree(4)_Ctrue
weka.BFTree(4)_S1

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
0.5848 ± 0.0441
Per class
F measure
0.9519 ± 0.0054
Per class
Kappa
0.1269 ± 0.1155
KB relative information score
45.8799 ± 36.8053
Mean absolute error
0.0622 ± 0.0042
Mean prior absolute error
0.0682 ± 0.0007
Number of instances
4229
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.949 ± 0.0124
Per class
Predictive accuracy
0.9641 ± 0.0048
Prior entropy
0.221
Recall
0.9641 ± 0.0048
Per class
Relative absolute error
0.9126 ± 0.0613
Root mean prior squared error
0.1844 ± 0.0018
Root mean squared error
0.184 ± 0.0107
Root relative squared error
0.9978 ± 0.0539
SciMark benchmark
943.0313
UserCPU time millis
69350
UserCPU time millis testing
20
UserCPU time millis training
69330