Run
16506

Run 16506

Task 27 (Supervised Classification) colic Uploaded 04-06-2014 by Joaquin Vanschoren
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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
0.8577
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8556
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6895
Cross-validation details (10-fold Crossvalidation)
KB relative information score
250.2016
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1448
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.8554
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.856
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.856
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3106
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3739
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7746
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.5733[543.03882254134611006.7685336652797477.00655035355487898.98494494214911747.0676455404612]