Run
235881

Run 235881

Task 272 (Supervised Classification) haberman Uploaded 02-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FT(1)Joao Gama (2004). Functional Trees. Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees.
weka.FT(1)_I15
weka.FT(1)_F0
weka.FT(1)_M15
weka.FT(1)_W0.0

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
0.6286
Per class
Cross-validation details (33% Holdout set)
F measure
0.668
Per class
Cross-validation details (33% Holdout set)
Kappa
0.153
Cross-validation details (33% Holdout set)
KB relative information score
10.1626
Cross-validation details (33% Holdout set)
Mean absolute error
0.3142
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3925
Cross-validation details (33% Holdout set)
Number of instances
100
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
0.6661
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.67
Cross-validation details (33% Holdout set)
Prior entropy
0.836
Cross-validation details (33% Holdout set)
Recall
0.67
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8006
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.444
Cross-validation details (33% Holdout set)
Root mean squared error
0.4815
Cross-validation details (33% Holdout set)
Root relative squared error
1.0845
Cross-validation details (33% Holdout set)
SciMark benchmark
918.6005
UserCPU time millis
20
Cross-validation details (33% Holdout set)
UserCPU time millis training
20
Cross-validation details (33% Holdout set)