Run
50586

Run 50586

Task 1715 (Learning Curve) mfeat-karhunen 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
0.9863 ± 0.0048
Per class
Build CPU time
0.5793
Build memory
154834746.4
F measure
0.8993 ± 0.0235
Per class
Kappa
0.8883 ± 0.0257
KB relative information score
0.8517 ± 0.0167
Mean absolute error
0.0439 ± 0.0031
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
0.9 ± 0.0213
Per class
Predictive accuracy
0.8995 ± 0.0231
Prior entropy
3.3219
Recall
0.8995 ± 0.0231
Per class
Relative absolute error
0.2439 ± 0.0172
Root mean prior squared error
0.3
Root mean squared error
0.1322 ± 0.0091
Root relative squared error
0.4405 ± 0.0302
SciMark benchmark
1624.8488