Run
494068

Run 494068

Task 10068 (Learning Curve) mc1 Uploaded 03-12-2015 by Joaquin Vanschoren
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Flow

weka.LMT(4)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(4)_I-1
weka.LMT(4)_M15
weka.LMT(4)_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
0.8604 ± 0.086
Per class
F measure
0.9924 ± 0.002
Per class
Kappa
0.4009 ± 0.1547
KB relative information score
-14883.8252 ± 773.0412
Mean absolute error
0.0099 ± 0.0018
Mean prior absolute error
0.0144 ± 0.0004
Number of instances
9466
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9921 ± 0.0023
Per class
Predictive accuracy
0.9935 ± 0.002
Prior entropy
0.0622
Recall
0.9935 ± 0.002
Per class
Relative absolute error
0.6925 ± 0.1144
Root mean prior squared error
0.0845 ± 0.0027
Root mean squared error
0.0791 ± 0.0105
Root relative squared error
0.9367 ± 0.1114
SciMark benchmark
747.4531
UserCPU time millis
15150
UserCPU time millis testing
10
UserCPU time millis training
15140