Run
437241

Run 437241

Task 97 (Learning Curve) ecoli Uploaded 13-05-2015 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
0.9266 ± 0.0366
Per class
F measure
0.7881 ± 0.0569
Per class
Kappa
0.7164 ± 0.0748
KB relative information score
0.6935 ± 0.0763
Mean absolute error
0.0616 ± 0.0121
Mean prior absolute error
0.1828 ± 0.0012
Number of instances
3360
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.782 ± 0.0589
Per class
Predictive accuracy
0.7973 ± 0.0533
Prior entropy
2.1906 ± 0.0868
Recall
0.7973 ± 0.0533
Per class
Relative absolute error
0.3372 ± 0.0658
Root mean prior squared error
0.3016 ± 0.0021
Root mean squared error
0.194 ± 0.0278
Root relative squared error
0.6432 ± 0.0908
SciMark benchmark
921.1883