Run
53144

Run 53144

Task 1723 (Learning Curve) mushroom Uploaded 08-11-2014 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
1
Per class
Build CPU time
0.4601
Build memory
1193689022.8267
F measure
0.9999 ± 0.0004
Per class
Kappa
0.9998 ± 0.0008
KB relative information score
0.9959 ± 0.0021
Mean absolute error
0.0026 ± 0.0013
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9999 ± 0.0004
Per class
Predictive accuracy
0.9999 ± 0.0004
Prior entropy
0.9991 ± 0.0001
Recall
0.9999 ± 0.0004
Per class
Relative absolute error
0.0053 ± 0.0026
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.0182 ± 0.0064
Root relative squared error
0.0364 ± 0.0128
SciMark benchmark
1597.1006