Run
50597

Run 50597

Task 1740 (Learning Curve) soybean 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
0.9933 ± 0.0065
Per class
Build CPU time
0.279
Build memory
417121038.2
F measure
0.9409 ± 0.0225
Per class
Kappa
0.9358 ± 0.0241
KB relative information score
0.9147 ± 0.0126
Mean absolute error
0.0171 ± 0.0015
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9453 ± 0.0187
Per class
Predictive accuracy
0.9414 ± 0.0219
Prior entropy
3.8358 ± 0.0227
Recall
0.9414 ± 0.0219
Per class
Relative absolute error
0.178 ± 0.0157
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.074 ± 0.0094
Root relative squared error
0.3377 ± 0.0429
SciMark benchmark
1615.5755