DEVELOPMENT... OpenML
Run
18233

Run 18233

Task 21 (Supervised Classification) car Uploaded 10-06-2014 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
0.8703
Per class
F measure
0.5768
Per class
KB relative information score
-268.1323
Mean absolute error
0.2752
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4903
Per class
Predictive accuracy
0.7002
Prior entropy
1.2099
Recall
0.7002
Per class
Relative absolute error
1.2017
Root mean prior squared error
0.3381
Root mean squared error
0.3344
Root relative squared error
0.989
SciMark benchmark
928.6981[566.4958240211141014.7209476623404472.1819953046527885.02359335741071705.0681287092086]