Run
55611

Run 55611

Task 1705 (Learning Curve) letter 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
0.9952 ± 0.0011
Per class
Build CPU time
0.2702
Build memory
5097817386.8
F measure
0.9421 ± 0.0054
Per class
Kappa
0.9395 ± 0.0057
KB relative information score
0.9169 ± 0.0034
Mean absolute error
0.013 ± 0.0004
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.943 ± 0.0054
Per class
Predictive accuracy
0.9418 ± 0.0055
Prior entropy
4.6998 ± 0.0001
Recall
0.9418 ± 0.0055
Per class
Relative absolute error
0.1764 ± 0.0054
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0687 ± 0.0014
Root relative squared error
0.3571 ± 0.0073
SciMark benchmark
1525.9265