Run
16329

Run 16329

Task 2071 (Supervised Classification) adult Uploaded 04-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(1)_C3
weka.MultiBoostAB_DecisionStump(1)_I20
weka.MultiBoostAB_DecisionStump(1)_P100
weka.MultiBoostAB_DecisionStump(1)_S1
weka.MultiBoostAB_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8464
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8077
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.44
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21288.8548
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1864
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
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
0.8148
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8255
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8255
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.512
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.398
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9328
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.5369[563.20332758402671013.6533323510344483.2321174670136913.71210817040291758.8835103978397]