Run
439466

Run 439466

Task 81 (Learning Curve) mfeat-zernike Uploaded 15-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_Discretize_J48(4)Weka implementation of FilteredClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.FilteredClassifier_Discretize_J48(4)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(4)_Wweka.classifiers.trees.J48
weka.Discretize(3)_Rfirst-last
weka.Discretize(3)_precision6

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
0.8597 ± 0.0164
Per class
F measure
0.6367 ± 0.0301
Per class
Kappa
0.5979 ± 0.0336
KB relative information score
0.6591 ± 0.0275
Mean absolute error
0.0755 ± 0.0051
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6354 ± 0.0303
Per class
Predictive accuracy
0.6382 ± 0.0302
Prior entropy
3.3219
Recall
0.6382 ± 0.0302
Per class
Relative absolute error
0.4195 ± 0.0284
Root mean prior squared error
0.3
Root mean squared error
0.2359 ± 0.0105
Root relative squared error
0.7863 ± 0.035
SciMark benchmark
904.333
UserCPU time millis
100
UserCPU time millis training
100