DEVELOPMENT... OpenML
Run
55603

Run 55603

Task 1705 (Learning Curve) letter Uploaded 12-11-2014 by Jason
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_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.9995 ± 0.0001
Per class
Build CPU time
21.0678
Build memory
2570264457.0667
F measure
0.9629 ± 0.005
Per class
Kappa
0.9614 ± 0.0052
KB relative information score
0.9122 ± 0.0035
Mean absolute error
0.0148 ± 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
0.9632 ± 0.0048
Per class
Predictive accuracy
0.9629 ± 0.005
Prior entropy
4.6998 ± 0.0001
Recall
0.9629 ± 0.005
Per class
Relative absolute error
0.2006 ± 0.0061
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0662 ± 0.0015
Root relative squared error
0.3444 ± 0.0078
SciMark benchmark
1525.9265