Run
503942

Run 503942

Task 1730 (Learning Curve) credit-g Uploaded 29-12-2015 by Jan van Rijn
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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
0.651 ± 0.0694
Per class
F measure
0.7205 ± 0.0311
Per class
Kappa
0.3105 ± 0.0768
KB relative information score
204.0794 ± 7.8822
Mean absolute error
0.3289 ± 0.0319
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.7201 ± 0.0396
Per class
Predictive accuracy
0.738 ± 0.0333
Prior entropy
0.8818
Recall
0.738 ± 0.0333
Per class
Relative absolute error
0.7828 ± 0.076
Root mean prior squared error
0.4583
Root mean squared error
0.4621 ± 0.0427
Root relative squared error
1.0084 ± 0.0931
SciMark benchmark
1633.8666
UserCPU time millis
210
UserCPU time millis training
210