Run
16155

Run 16155

Task 21 (Supervised Classification) car 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
0.8719
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5768
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
406.8367
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1502
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
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
0.4903
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7002
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.7002
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.656
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3144
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9298
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
909.9514[529.1992226884906925.0863363473993452.1018206315789890.13244802130791753.2370197795062]