Run
462923

Run 462923

Task 71 (Learning Curve) mfeat-factors Uploaded 06-07-2015 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
0.9141 ± 0.0141
Per class
F measure
0.8046 ± 0.0261
Per class
Kappa
0.7829 ± 0.0288
KB relative information score
0.7957 ± 0.0252
Mean absolute error
0.0432 ± 0.0049
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
0.8046 ± 0.0257
Per class
Predictive accuracy
0.8046 ± 0.026
Prior entropy
3.3219
Recall
0.8046 ± 0.026
Per class
Relative absolute error
0.2403 ± 0.0272
Root mean prior squared error
0.3
Root mean squared error
0.1846 ± 0.0124
Root relative squared error
0.6154 ± 0.0413
SciMark benchmark
944.4979