DEVELOPMENT... OpenML
Run
20651

Run 20651

Task 9 (Supervised Classification) autos Uploaded 18-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_REPTree(1)_I10
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9129
Per class
F measure
0.6937
Per class
Kappa
0.6106
KB relative information score
117.7847
Mean absolute error
0.1208
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6923
Per class
Predictive accuracy
0.7024
Prior entropy
2.3268
Recall
0.7024
Per class
Relative absolute error
0.5467
Root mean prior squared error
0.3318
Root mean squared error
0.2417
Root relative squared error
0.7286
SciMark benchmark
942.3618[562.83979305934711006.2427814264379473.84898880647887904.8809625230991763.996579689319]