Run
54253

Run 54253

Task 1711 (Learning Curve) mfeat-factors Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

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.

21 Evaluation measures

Area under ROC curve
0.6656 ± 0.015
Per class
Build CPU time
0.0198
Build memory
2363205611.2
F measure
0.3884 ± 0.0315
Per class
Kappa
0.3311 ± 0.03
KB relative information score
0.3705 ± 0.0282
Mean absolute error
0.1204 ± 0.0054
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.3872 ± 0.038
Per class
Predictive accuracy
0.398 ± 0.027
Prior entropy
3.3219
Recall
0.398 ± 0.027
Per class
Relative absolute error
0.6689 ± 0.03
Root mean prior squared error
0.3
Root mean squared error
0.347 ± 0.0078
Root relative squared error
1.1566 ± 0.026
SciMark benchmark
1615.5755