Run
67201

Run 67201

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 30-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RealAdaBoost_Logistic(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.Logistic(2)_M-1
weka.Logistic(2)_R1.0E-8
weka.RealAdaBoost_Logistic(1)_P100
weka.RealAdaBoost_Logistic(1)_H1.0
weka.RealAdaBoost_Logistic(1)_S1
weka.RealAdaBoost_Logistic(1)_I10
weka.RealAdaBoost_Logistic(1)_Wweka.classifiers.functions.Logistic

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
0.831
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
44.8501
Cross-validation details (10-fold Crossvalidation)
Build memory
127220574.742
Cross-validation details (10-fold Crossvalidation)
F measure
0.8576
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2375
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-3482.5015
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1798
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
0.8559
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8593
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4871
Cross-validation details (10-fold Crossvalidation)
Recall
0.8593
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9507
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3074
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3113
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0128
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.9003