Run
50592

Run 50592

Task 1721 (Learning Curve) mfeat-zernike 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
0.9663 ± 0.0069
Per class
Build CPU time
0.336
Build memory
301473106.8364
F measure
0.7696 ± 0.0202
Per class
Kappa
0.7489 ± 0.0243
KB relative information score
0.7702 ± 0.0143
Mean absolute error
0.0649 ± 0.0024
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7667 ± 0.0181
Per class
Predictive accuracy
0.774 ± 0.0218
Prior entropy
3.3219
Recall
0.774 ± 0.0218
Per class
Relative absolute error
0.3606 ± 0.0134
Root mean prior squared error
0.3
Root mean squared error
0.172 ± 0.0055
Root relative squared error
0.5734 ± 0.0183
SciMark benchmark
1948.3582