Run
280108

Run 280108

Task 336 (Supervised Classification) electricity Uploaded 08-03-2015 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
0.9301
Per class
Cross-validation details (33% Holdout set)
F measure
0.8883
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7717
Cross-validation details (33% Holdout set)
KB relative information score
11179.4594
Cross-validation details (33% Holdout set)
Mean absolute error
0.1262
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4893
Cross-validation details (33% Holdout set)
Number of instances
14952
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8882
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8884
Cross-validation details (33% Holdout set)
Prior entropy
0.9835
Cross-validation details (33% Holdout set)
Recall
0.8884
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2579
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.495
Cross-validation details (33% Holdout set)
Root mean squared error
0.3048
Cross-validation details (33% Holdout set)
Root relative squared error
0.6158
Cross-validation details (33% Holdout set)
SciMark benchmark
1086.8793
UserCPU time millis
105490
Cross-validation details (33% Holdout set)
UserCPU time millis testing
70
Cross-validation details (33% Holdout set)
UserCPU time millis training
105420
Cross-validation details (33% Holdout set)