Run
503960

Run 503960

Task 10058 (Learning Curve) ipums_la_98-small Uploaded 29-12-2015 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
0.6981 ± 0.1722
Per class
F measure
0.8467 ± 0.0073
Per class
Kappa
0.0203 ± 0.0403
KB relative information score
-860.5133 ± 112.6018
Mean absolute error
0.1762 ± 0.0166
Mean prior absolute error
0.1891 ± 0.0003
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.837 ± 0.0128
Per class
Predictive accuracy
0.8929 ± 0.003
Prior entropy
0.4871
Recall
0.8929 ± 0.003
Per class
Relative absolute error
0.9319 ± 0.0882
Root mean prior squared error
0.3074 ± 0.0005
Root mean squared error
0.299 ± 0.0111
Root relative squared error
0.9726 ± 0.037
SciMark benchmark
945.1219
UserCPU time millis
10550
UserCPU time millis training
10550