DEVELOPMENT... OpenML
Run
55605

Run 55605

Task 1731 (Learning Curve) pendigits 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
0.9997 ± 0.0003
Per class
Build CPU time
8.6701
Build memory
5425452795.1
F measure
0.991 ± 0.0035
Per class
Kappa
0.99 ± 0.0039
KB relative information score
0.9669 ± 0.0021
Mean absolute error
0.0124 ± 0.0006
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.991 ± 0.0035
Per class
Predictive accuracy
0.991 ± 0.0035
Prior entropy
3.3208 ± 0.0002
Recall
0.991 ± 0.0035
Per class
Relative absolute error
0.0691 ± 0.0035
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0519 ± 0.003
Root relative squared error
0.1731 ± 0.0102
SciMark benchmark
1525.9265