Run
50658

Run 50658

Task 1711 (Learning Curve) mfeat-factors Uploaded 06-11-2014 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.RandomTree(2)Weka implementation of RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9169 ± 0.0125
Per class
Build CPU time
0.0049
Build memory
593433749.9636
F measure
0.8505 ± 0.0216
Per class
Kappa
0.8339 ± 0.0249
KB relative information score
0.8437 ± 0.0234
Mean absolute error
0.0299 ± 0.0045
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
0.8507 ± 0.0207
Per class
Predictive accuracy
0.8505 ± 0.0224
Prior entropy
3.3219
Recall
0.8505 ± 0.0224
Per class
Relative absolute error
0.1661 ± 0.0249
Root mean prior squared error
0.3
Root mean squared error
0.1729 ± 0.0125
Root relative squared error
0.5764 ± 0.0417
SciMark benchmark
1651.8608