Run
274961

Run 274961

Task 4416 (Supervised Classification) elevators Uploaded 06-03-2015 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
0.9446
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8979
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7566
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
110583.0784
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1463
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4271
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
165990
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8999
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9002
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8921
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9002
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3425
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4621
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.273
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5908
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
929.0363
UserCPU time millis
139430
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
139410
Cross-validation details (10 times 10-fold Crossvalidation)