Run
270062

Run 270062

Task 3663 (Supervised Classification) cholesterol Uploaded 06-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.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
0.631
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.566
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1223
Cross-validation details (10-fold Crossvalidation)
KB relative information score
31.5895
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4481
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4955
Cross-validation details (10-fold Crossvalidation)
Number of instances
303
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
0.5654
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5677
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9935
Cross-validation details (10-fold Crossvalidation)
Recall
0.5677
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9044
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4977
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4967
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9979
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
912.5006
UserCPU time millis
150
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
150
Cross-validation details (10-fold Crossvalidation)