Run
503412

Run 503412

Task 10057 (Learning Curve) kdd_ipums_la_97-small Uploaded 28-12-2015 by Jan van Rijn
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Flow

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_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
0.9911 ± 0.0035
Per class
F measure
0.9783 ± 0.0046
Per class
Kappa
0.9538 ± 0.0097
KB relative information score
6044.3105 ± 4.2338
Mean absolute error
0.0751 ± 0.0025
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
0.9794 ± 0.0041
Per class
Predictive accuracy
0.9782 ± 0.0046
Prior entropy
0.9504
Recall
0.9782 ± 0.0046
Per class
Relative absolute error
0.1612 ± 0.0054
Root mean prior squared error
0.4827 ± 0.0002
Root mean squared error
0.1576 ± 0.0097
Root relative squared error
0.3265 ± 0.0201
SciMark benchmark
1674.9818
UserCPU time millis
760
UserCPU time millis training
760