Run
23971

Run 23971

Task 52 (Supervised Classification) heart-statlog Uploaded 29-06-2014 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)_I40
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
0.8681
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7879
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5693
Cross-validation details (10-fold Crossvalidation)
KB relative information score
152.0505
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.215
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (10-fold Crossvalidation)
Number of instances
270
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
0.7886
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7889
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.7889
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4353
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4391
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8836
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
949.7138[574.70864174417771016.0585376856843484.10363182779514915.94689394904971757.7512505720342]