OpenML
146445

Run 146445

Task 3517 (Supervised Classification) ipums_la_97-small Uploaded 01-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_J48(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_J48(2)_I80
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.7859
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3376
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.297
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2403.1867
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1675
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2082
Cross-validation details (10-fold Crossvalidation)
Number of instances
7019
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.3157
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4538
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.7591
Cross-validation details (10-fold Crossvalidation)
Recall
0.4538
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8047
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3226
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2935
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9098
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1174.6686
UserCPU time millis
620
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
600
Cross-validation details (10-fold Crossvalidation)