OpenML
26389

Run 26389

Task 40 (Supervised Classification) glass Uploaded 08-10-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.J48(3)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(3)_C0.25
weka.J48(3)_M2

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.

21 Evaluation measures

Area under ROC curve
0.8104
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0074
Cross-validation details (10-fold Crossvalidation)
Build memory
16919564.8972
Cross-validation details (10-fold Crossvalidation)
F measure
0.6753
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5606
Cross-validation details (10-fold Crossvalidation)
KB relative information score
124.9449
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1008
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2116
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6754
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6776
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2315
Cross-validation details (10-fold Crossvalidation)
Recall
0.6776
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4764
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2849
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.878
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.4589