Run
479181

Run 479181

Task 10057 (Learning Curve) kdd_ipums_la_97-small Uploaded 30-11-2015 by Jan van Rijn
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Flow

weka.RandomTree(11)Weka implementation of RandomTree
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_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
0.9054 ± 0.0257
Per class
F measure
0.9011 ± 0.0251
Per class
Kappa
0.788 ± 0.0533
KB relative information score
5371.658 ± 41.663
Mean absolute error
0.1086 ± 0.0271
Mean prior absolute error
0.466 ± 0.0002
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9012 ± 0.0248
Per class
Predictive accuracy
0.901 ± 0.0253
Prior entropy
0.9504
Recall
0.901 ± 0.0253
Per class
Relative absolute error
0.233 ± 0.0582
Root mean prior squared error
0.4827 ± 0.0002
Root mean squared error
0.3048 ± 0.0408
Root relative squared error
0.6315 ± 0.0844
SciMark benchmark
1767.5245
UserCPU time millis
30
UserCPU time millis training
30