Run
503413

Run 503413

Task 10059 (Learning Curve) ipums_la_99-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
0.89 ± 0.0094
Per class
F measure
0.911 ± 0.0046
Per class
Kappa
0.094 ± 0.0879
KB relative information score
-13340.4659 ± 81.0017
Mean absolute error
0.1418 ± 0.0042
Mean prior absolute error
0.1203 ± 0.0004
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9073 ± 0.0149
Per class
Predictive accuracy
0.9348 ± 0.0043
Prior entropy
0.3444
Recall
0.9348 ± 0.0043
Per class
Relative absolute error
1.1787 ± 0.0341
Root mean prior squared error
0.2452 ± 0.0008
Root mean squared error
0.2383 ± 0.0043
Root relative squared error
0.9721 ± 0.0163
SciMark benchmark
1674.9818
UserCPU time millis
730
UserCPU time millis training
730