Run
578598

Run 578598

Task 22 (Supervised Classification) mfeat-zernike Uploaded 03-06-2016 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.PART(4)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(4)_C0.25
weka.PART(4)_M2
weka.PART(4)_Q1

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
0.8877
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7206
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6889
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1494.2838
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0562
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.722
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.72
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.72
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3119
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2099
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6997
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1351.6042
UserCPU time millis
720
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
710
Cross-validation details (10-fold Crossvalidation)