OpenML
321611

Run 321611

Task 4218 (Supervised Classification) ipums_la_99-small Uploaded 25-03-2015 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(8)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0
weka.Bagging_REPTree(8)_P100
weka.Bagging_REPTree(8)_S1
weka.Bagging_REPTree(8)_num-slots1
weka.Bagging_REPTree(8)_I10
weka.Bagging_REPTree(8)_Wweka.classifiers.trees.REPTree

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.

22 Evaluation measures

Area under ROC curve
0.5728
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5119
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0044
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
4355.4082
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1484
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1558
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
88440
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.46
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5991
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.7594
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5991
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9522
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2791
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2935
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0518
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
938.0414
UserCPU time millis
31600
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
31570
Cross-validation details (10 times 10-fold Crossvalidation)