Run
55614

Run 55614

Task 1764 (Learning Curve) electricity Uploaded 12-11-2014 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.Bagging_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I10
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9701 ± 0.0015
Per class
Build CPU time
0.4862
Build memory
2348688717.56
F measure
0.9157 ± 0.0032
Per class
Kappa
0.8277 ± 0.0065
KB relative information score
0.7346 ± 0.0051
Mean absolute error
0.1386 ± 0.0025
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.916 ± 0.0031
Per class
Predictive accuracy
0.9156 ± 0.0032
Prior entropy
0.9835 ± 0
Recall
0.9156 ± 0.0032
Per class
Relative absolute error
0.2837 ± 0.0052
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.2536 ± 0.0033
Root relative squared error
0.5132 ± 0.0066
SciMark benchmark
1525.9265