DEVELOPMENT... OpenML
Run
19140

Run 19140

Task 52 (Supervised Classification) heart-statlog Uploaded 12-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_Decisio nStump(1)Weka implementation of AttributeSelectedClassifier
weka.AdaBoostM1_DecisionStump(1)_I10
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_DecisionStump(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_DecisionStump(1)_Wweka.classifiers.meta.AdaBoostM1
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1

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
0.8794
Per class
F measure
0.8184
Per class
Kappa
0.6322
KB relative information score
142.3766
Mean absolute error
0.2442
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8184
Per class
Predictive accuracy
0.8185
Prior entropy
0.9912
Recall
0.8185
Per class
Relative absolute error
0.4945
Root mean prior squared error
0.4969
Root mean squared error
0.3708
Root relative squared error
0.7463
SciMark benchmark
910.7804[556.9095328849074922.2086354618193472.1819953046527886.82000016937721715.7817099572771]