OpenML
82809

Run 82809

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 02-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I160
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.8483
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
20.1148
Cross-validation details (10-fold Crossvalidation)
Build memory
196891846.0772
Cross-validation details (10-fold Crossvalidation)
F measure
0.8572
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0966
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1737.4462
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1543
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1891
Cross-validation details (10-fold Crossvalidation)
Number of instances
7485
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8654
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8961
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4871
Cross-validation details (10-fold Crossvalidation)
Recall
0.8961
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8162
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3074
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2807
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9132
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.2422