Run
50593

Run 50593

Task 2097 (Learning Curve) satimage Uploaded 06-11-2014 by Joaquin Vanschoren
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Flow

weka.ClassificationViaRegression_M5P(2)E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
weka.M5P(2)_M4.0
weka.ClassificationViaRegression_M5P(2)_Wweka.classifiers.trees.M5P

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.

21 Evaluation measures

Area under ROC curve
0.9835 ± 0.0039
Per class
Build CPU time
1.4293
Build memory
209591484.0571
F measure
0.8956 ± 0.0111
Per class
Kappa
0.8734 ± 0.0139
KB relative information score
0.8497 ± 0.0071
Mean absolute error
0.0557 ± 0.0017
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8952 ± 0.0113
Per class
Predictive accuracy
0.8978 ± 0.0113
Prior entropy
2.4834 ± 0.0009
Recall
0.8978 ± 0.0113
Per class
Relative absolute error
0.2061 ± 0.0063
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1635 ± 0.0056
Root relative squared error
0.4449 ± 0.0152
SciMark benchmark
942.4911