Run
25603

Run 25603

Task 71 (Learning Curve) mfeat-factors Uploaded 19-08-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.JRip(2)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_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.

21 Evaluation measures

Area under ROC curve
0.9532 ± 0.0134
Per class
Build CPU time
1.1412
Build memory
4066664022.8582
F measure
0.8807 ± 0.0239
Per class
Kappa
0.8674 ± 0.0267
KB relative information score
0.8657 ± 0.0249
Mean absolute error
0.0285 ± 0.0049
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8809 ± 0.0228
Per class
Predictive accuracy
0.8807 ± 0.024
Prior entropy
3.3219
Recall
0.8807 ± 0.024
Per class
Relative absolute error
0.1584 ± 0.027
Root mean prior squared error
0.3
Root mean squared error
0.149 ± 0.0154
Root relative squared error
0.4965 ± 0.0512
SciMark benchmark
1103.5526[673.9724111860467942.7373251037432533.1389555810424956.72992367734032411.184582953644]