Run
169242

Run 169242

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 20-02-2015 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.J48(28)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(28)_C0.25
weka.J48(28)_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.

22 Evaluation measures

Area under ROC curve
0.7193
Per class
Cross-validation details (33% Holdout set)
F measure
0.6788
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2258
Cross-validation details (33% Holdout set)
KB relative information score
3.777
Cross-validation details (33% Holdout set)
Mean absolute error
0.1836
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.724
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6667
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.6667
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8165
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.3728
Cross-validation details (33% Holdout set)
Root relative squared error
1.2047
Cross-validation details (33% Holdout set)
SciMark benchmark
1028.5889