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Run
13900

Run 13900

Task 14 (Supervised Classification) mfeat-fourier Uploaded 22-05-2014 by Felicia West
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Flow

weka.PART(1)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(1)_C0.25
weka.PART(1)_M2
weka.PART(1)_Q1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8907
Per class
F measure
0.7547
Per class
Kappa
0.7283
KB relative information score
1508.8529
Mean absolute error
0.0505
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7569
Per class
Predictive accuracy
0.7555
Prior entropy
3.3219
Recall
0.7555
Per class
Relative absolute error
0.2806
Root mean prior squared error
0.3
Root mean squared error
0.2101
Root relative squared error
0.7005
SciMark benchmark
945.7371[561.0294815668511015.52310425331484.5405689113658909.27509318503251758.3172656914378]