Run
493261

Run 493261

Task 10049 (Learning Curve) delta_ailerons 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
0.9725 ± 0.0061
Per class
F measure
0.9406 ± 0.0084
Per class
Kappa
0.8808 ± 0.0169
KB relative information score
5823.1923 ± 11.1621
Mean absolute error
0.1007 ± 0.0082
Mean prior absolute error
0.4981 ± 0
Number of instances
7129
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9407 ± 0.0085
Per class
Predictive accuracy
0.9407 ± 0.0084
Prior entropy
0.9973
Recall
0.9407 ± 0.0084
Per class
Relative absolute error
0.2022 ± 0.0165
Root mean prior squared error
0.4991 ± 0
Root mean squared error
0.2248 ± 0.0137
Root relative squared error
0.4505 ± 0.0274
SciMark benchmark
812.774
UserCPU time millis
2390
UserCPU time millis testing
10
UserCPU time millis training
2380