Run
18346

Run 18346

Task 37 (Supervised Classification) diabetes Uploaded 10-06-2014 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_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I160
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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
0.8128
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7647
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4763
Cross-validation details (10-fold Crossvalidation)
KB relative information score
352.1357
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2374
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
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
0.7637
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7682
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7682
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5223
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4631
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9715
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.8573[560.12868580782781013.9200573100866482.58056402979616907.07263143401181760.5845701777503]