Run
493243

Run 493243

Task 10052 (Learning Curve) hiva_agnostic 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
0.718 ± 0.078
Per class
F measure
0.9575 ± 0.0049
Per class
Kappa
0.2502 ± 0.091
KB relative information score
-2171.9494 ± 50.8216
Mean absolute error
0.057 ± 0.0042
Mean prior absolute error
0.0682 ± 0.0007
Number of instances
4229
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9572 ± 0.0103
Per class
Predictive accuracy
0.9667 ± 0.0044
Prior entropy
0.221
Recall
0.9667 ± 0.0044
Per class
Relative absolute error
0.8363 ± 0.0672
Root mean prior squared error
0.1844 ± 0.0018
Root mean squared error
0.1741 ± 0.0082
Root relative squared error
0.9441 ± 0.0431
SciMark benchmark
812.774
UserCPU time millis
913450
UserCPU time millis testing
280
UserCPU time millis training
913170