Run
157499

Run 157499

Task 1711 (Learning Curve) mfeat-factors Uploaded 11-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.LADTree(3)Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
weka.LADTree(3)_B10

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
0.9801 ± 0.0051
Per class
F measure
0.8216 ± 0.0262
Per class
Kappa
0.8011 ± 0.0302
KB relative information score
0.7889 ± 0.0179
Mean absolute error
0.0559 ± 0.0037
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8232 ± 0.024
Per class
Predictive accuracy
0.821 ± 0.0272
Prior entropy
3.3219
Recall
0.821 ± 0.0272
Per class
Relative absolute error
0.3106 ± 0.0207
Root mean prior squared error
0.3
Root mean squared error
0.1588 ± 0.0084
Root relative squared error
0.5295 ± 0.0282
SciMark benchmark
642.8724
UserCPU time millis
25320
UserCPU time millis testing
10
UserCPU time millis training
25310