DEVELOPMENT... OpenML
Run
147139

Run 147139

Task 50 (Supervised Classification) heart-h Uploaded 02-02-2015 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_DecisionTable_Best First(2)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_DecisionTable_BestFirst(2)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_DecisionTable_BestFirst(2)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_DecisionTable_BestFirst(2)_Wweka.classifiers.rules.DecisionTable
weka.BestFirst(2)_D1
weka.BestFirst(2)_N5
weka.CfsSubsetEval(2)_E1
weka.CfsSubsetEval(2)_P1
weka.DecisionTable_BestFirst(3)_X1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8168
Per class
F measure
0.8187
Per class
Kappa
0.605
KB relative information score
94.6905
Mean absolute error
0.128
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8182
Per class
Predictive accuracy
0.8197
Prior entropy
1.0314
Recall
0.8197
Per class
Relative absolute error
0.6858
Root mean prior squared error
0.3037
Root mean squared error
0.2427
Root relative squared error
0.7992
SciMark benchmark
942.1229
UserCPU time millis
10
UserCPU time millis training
10