Run
398917

Run 398917

Task 3044 (Supervised Classification) hypothyroid Uploaded 16-04-2015 by Joaquin Vanschoren
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Flow

weka.LMT(3)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 675-683, 2005.
weka.LMT(3)_I-1
weka.LMT(3)_M15
weka.LMT(3)_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
0.9983
Per class
Cross-validation details (33% Holdout set)
F measure
0.9956
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9677
Cross-validation details (33% Holdout set)
KB relative information score
1192.7198
Cross-validation details (33% Holdout set)
Mean absolute error
0.0026
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0736
Cross-validation details (33% Holdout set)
Number of instances
1244
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
0.996
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9952
Cross-validation details (33% Holdout set)
Prior entropy
0.4715
Cross-validation details (33% Holdout set)
Recall
0.9952
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0349
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.1923
Cross-validation details (33% Holdout set)
Root mean squared error
0.0472
Cross-validation details (33% Holdout set)
Root relative squared error
0.2455
Cross-validation details (33% Holdout set)
SciMark benchmark
943.4741
UserCPU time millis
12630
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
Cross-validation details (33% Holdout set)
UserCPU time millis training
12620
Cross-validation details (33% Holdout set)