Run
93742

Run 93742

Task 2355 (Supervised Classification) meta_instanceincremental.arff Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

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
0.5476
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.001
Cross-validation details (33% Holdout set)
Build memory
548306352
Cross-validation details (33% Holdout set)
F measure
0.6312
Per class
Cross-validation details (33% Holdout set)
Kappa
0.1429
Cross-validation details (33% Holdout set)
KB relative information score
6.2931
Cross-validation details (33% Holdout set)
Mean absolute error
0.1458
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2324
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5777
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7083
Cross-validation details (33% Holdout set)
Prior entropy
1.3146
Cross-validation details (33% Holdout set)
Recall
0.7083
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6276
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3388
Cross-validation details (33% Holdout set)
Root mean squared error
0.3819
Cross-validation details (33% Holdout set)
Root relative squared error
1.1272
Cross-validation details (33% Holdout set)
SciMark benchmark
947.5974