Run
503966

Run 503966

Task 10057 (Learning Curve) kdd_ipums_la_97-small 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
0.968 ± 0.0047
Per class
F measure
0.9623 ± 0.0059
Per class
Kappa
0.9201 ± 0.0123
KB relative information score
3813.2798 ± 8.1232
Mean absolute error
0.2382 ± 0.0052
Mean prior absolute error
0.466 ± 0.0002
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9655 ± 0.0049
Per class
Predictive accuracy
0.962 ± 0.006
Prior entropy
0.9504
Recall
0.962 ± 0.006
Per class
Relative absolute error
0.5111 ± 0.0112
Root mean prior squared error
0.4827 ± 0.0002
Root mean squared error
0.3006 ± 0.0048
Root relative squared error
0.6227 ± 0.0101
SciMark benchmark
1633.8666
UserCPU time millis
23620
UserCPU time millis training
23620