resultados.xlsx - DELAY_CATEGORYFrequency 1 2 3 4 659731 273991 222464 149857 2641798 1096307 892702 600077 logisticregression 149 474 175 240 144 258

resultados.xlsx - DELAY_CATEGORYFrequency 1 2 3 4 659731...

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ELAY_CATEGORFrequency126417982109630738927024600077logisticregressionClassprecision659731149474010.51273991175240020.33222464144258030.2214985761177040KNNClassprecision64627210204315472410.5125979011361273951620.372122876618326170030.291444092877203177840.29Decision TreeClassprecision65742129330010.5127007443320020.45220930193600301495795160040
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Random ForestClassprecision66035400010.5274406000202228660003015009500040Gaussian Naive BayesClassprecision66035400010.5274406000202228660003015009500040Neural NetworkClassprecision66035400010.5274406000202228660003015009500040
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Accuracy_score trainaccuracy_score testbalanced accuracy score trainbalanced accuracy score testrecallf1-scoresupport10.67660354002744060022286600150095recallf1-scoresupport0.980.676603540.040.072744060.010.032228660.010.01150095recallf1-scoresupport10.676603540.020.032744060022286600150095
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recallf1-scoresupport10.67660354002744060022286600150095recallf1-scoresupport10.67660354002744060022286600150095recallf1-scoresupport10.67660354002744060022286600150095
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logisticregressionDecision treeKNNRandom ForestNeural Network0.500.510.510.510.510.510.500.510.510.500.500.500.250.260.250.250.250.250.250.260.250.250.250.25Class1234micro_avg0.50.50.51307721macro_avg0.270.250.171307721weighted_avg0.360.50.341307721Class1234micro_avg0.510.510.511307721macro_avg0.360.260.21307721weighted_avg0.420.510.361307721Class1234micro_avg0.510.510.511307721macro_avg0.240.250.181307721weighted_avg0.350.510.351307721Gaussian Naive Bayes
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Class1234micro_avg0.50.50.51307721macro_avg0.130.250.171307721weighted_avg0.250.50.341307721Class1234micro_avg0.50.50.51307721macro_avg0.130.250.171307721weighted_avg0.250.50.341307721Class1234micro_avg0.50.50.51307721macro_avg0.130.250.171307721weighted_avg0.250.50.341307721
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ELAY_CATEGORFrequency126417982109630738927024600077UndersampledELAY_CATEGORrsampled frequency1449982244998234499824449982logisticregressionClassprecision2757341237675377220708110.579284269551271468486720.267004347662259407922130.214211829111165826228440.14Decision TreeClassprecision353443193323038625719310.58125235137651444012096620.338638661381311511722730.245223213379119482840.16KNNClassprecision22177315011312564816282010.587172178663584006562220.255509354514521246113530.193665331471324154955640.15
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Random ForestClassprecision288206111243429325661210.599703760227213211501020.266874238726213011326830.22355852102911559232640.16Gaussian Naive BayesClassprecision1677992240583765723084010.5855836997571308210573120.234295669013141659673230.19232854245395017485640.15Neural NetworkClassprecision2891713711830010.55900231843830020.2380800142066003061120889750040
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Accuracy_score trainaccuracy_score testbalanced accuracy score trainbalanced accuracy score testrecallf1-scoresupport0.420.486603540.250.262744060.12
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  • Fall '17
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  • Statistical classification, Random Forest

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