Run
50579

Run 50579

Task 2102 (Learning Curve) eucalyptus Uploaded 06-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


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
0.8757 ± 0.0295
Per class
Build CPU time
0.2549
Build memory
472618251.5
F measure
0.6084 ± 0.0378
Per class
Kappa
0.4998 ± 0.0518
KB relative information score
0.5094 ± 0.0415
Mean absolute error
0.193 ± 0.0122
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6089 ± 0.0361
Per class
Predictive accuracy
0.6114 ± 0.0409
Prior entropy
2.2621 ± 0.0043
Recall
0.6114 ± 0.0409
Per class
Relative absolute error
0.6162 ± 0.0387
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3156 ± 0.0168
Root relative squared error
0.7974 ± 0.042
SciMark benchmark
1648.2431