Run
50581

Run 50581

Task 1717 (Learning Curve) mfeat-morphological Uploaded 06-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.9646 ± 0.0049
Per class
Build CPU time
0.1071
Build memory
703295236.0727
F measure
0.7502 ± 0.0255
Per class
Kappa
0.7233 ± 0.0281
KB relative information score
0.7555 ± 0.0115
Mean absolute error
0.07 ± 0.002
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7525 ± 0.0268
Per class
Predictive accuracy
0.751 ± 0.0253
Prior entropy
3.3219
Recall
0.751 ± 0.0253
Per class
Relative absolute error
0.3891 ± 0.0113
Root mean prior squared error
0.3
Root mean squared error
0.182 ± 0.0044
Root relative squared error
0.6068 ± 0.0148
SciMark benchmark
1367.6268