122 lines
5.4 KiB
Plaintext
122 lines
5.4 KiB
Plaintext
,Measure,Value,Method
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0,Precision,0.8333333333333334,Decision Tree
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1,Recall,0.8648648648648649,Decision Tree
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2,Accuracy,0.95908111988514,Decision Tree
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3,F1Score,0.8488063660477454,Decision Tree
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4,Precision,0.9941176470588236,Logistic Regression
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5,Recall,0.9135135135135135,Logistic Regression
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6,Accuracy,0.9877961234745154,Logistic Regression
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7,F1Score,0.9521126760563381,Logistic Regression
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8,Precision,1.0,Neural Network
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9,Recall,0.9297297297297298,Neural Network
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10,Accuracy,0.990667623833453,Neural Network
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11,F1Score,0.9635854341736695,Neural Network
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12,Precision,0.8631578947368421,Decision Tree
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13,Recall,0.8864864864864865,Decision Tree
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14,Accuracy,0.9662598707824839,Decision Tree
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15,F1Score,0.8746666666666667,Decision Tree
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16,Precision,0.9941176470588236,Logistic Regression
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17,Recall,0.9135135135135135,Logistic Regression
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18,Accuracy,0.9877961234745154,Logistic Regression
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19,F1Score,0.9521126760563381,Logistic Regression
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20,Precision,1.0,Neural Network
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21,Recall,0.9297297297297298,Neural Network
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22,Accuracy,0.990667623833453,Neural Network
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23,F1Score,0.9635854341736695,Neural Network
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24,Precision,0.8465608465608465,Decision Tree
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25,Recall,0.8648648648648649,Decision Tree
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26,Accuracy,0.9612347451543432,Decision Tree
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27,F1Score,0.8556149732620321,Decision Tree
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28,Precision,0.9941176470588236,Logistic Regression
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29,Recall,0.9135135135135135,Logistic Regression
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30,Accuracy,0.9877961234745154,Logistic Regression
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31,F1Score,0.9521126760563381,Logistic Regression
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32,Precision,1.0,Neural Network
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33,Recall,0.9351351351351351,Neural Network
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34,Accuracy,0.9913854989231874,Neural Network
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35,F1Score,0.9664804469273743,Neural Network
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36,Precision,0.8743169398907104,Decision Tree
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37,Recall,0.8648648648648649,Decision Tree
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38,Accuracy,0.9655419956927495,Decision Tree
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39,F1Score,0.8695652173913042,Decision Tree
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40,Precision,0.9941176470588236,Logistic Regression
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41,Recall,0.9135135135135135,Logistic Regression
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42,Accuracy,0.9877961234745154,Logistic Regression
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43,F1Score,0.9521126760563381,Logistic Regression
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44,Precision,1.0,Neural Network
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45,Recall,0.9297297297297298,Neural Network
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46,Accuracy,0.990667623833453,Neural Network
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47,F1Score,0.9635854341736695,Neural Network
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48,Precision,0.8578947368421053,Decision Tree
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49,Recall,0.8810810810810811,Decision Tree
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50,Accuracy,0.964824120603015,Decision Tree
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51,F1Score,0.8693333333333333,Decision Tree
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52,Precision,0.9941176470588236,Logistic Regression
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53,Recall,0.9135135135135135,Logistic Regression
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54,Accuracy,0.9877961234745154,Logistic Regression
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55,F1Score,0.9521126760563381,Logistic Regression
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56,Precision,0.9942857142857143,Neural Network
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57,Recall,0.9405405405405406,Neural Network
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58,Accuracy,0.9913854989231874,Neural Network
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59,F1Score,0.9666666666666667,Neural Network
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60,Precision,0.8624338624338624,Decision Tree
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61,Recall,0.8810810810810811,Decision Tree
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62,Accuracy,0.9655419956927495,Decision Tree
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63,F1Score,0.8716577540106951,Decision Tree
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64,Precision,0.9941176470588236,Logistic Regression
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65,Recall,0.9135135135135135,Logistic Regression
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66,Accuracy,0.9877961234745154,Logistic Regression
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67,F1Score,0.9521126760563381,Logistic Regression
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68,Precision,0.9942528735632183,Neural Network
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69,Recall,0.9351351351351351,Neural Network
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70,Accuracy,0.990667623833453,Neural Network
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71,F1Score,0.9637883008356545,Neural Network
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72,Precision,0.8695652173913043,Decision Tree
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73,Recall,0.8648648648648649,Decision Tree
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74,Accuracy,0.964824120603015,Decision Tree
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75,F1Score,0.8672086720867209,Decision Tree
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76,Precision,0.9941176470588236,Logistic Regression
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77,Recall,0.9135135135135135,Logistic Regression
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78,Accuracy,0.9877961234745154,Logistic Regression
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79,F1Score,0.9521126760563381,Logistic Regression
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80,Precision,1.0,Neural Network
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81,Recall,0.9297297297297298,Neural Network
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82,Accuracy,0.990667623833453,Neural Network
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83,F1Score,0.9635854341736695,Neural Network
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84,Precision,0.8797814207650273,Decision Tree
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85,Recall,0.8702702702702703,Decision Tree
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86,Accuracy,0.9669777458722182,Decision Tree
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87,F1Score,0.875,Decision Tree
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88,Precision,0.9941176470588236,Logistic Regression
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89,Recall,0.9135135135135135,Logistic Regression
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90,Accuracy,0.9877961234745154,Logistic Regression
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91,F1Score,0.9521126760563381,Logistic Regression
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92,Precision,0.9942528735632183,Neural Network
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93,Recall,0.9351351351351351,Neural Network
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94,Accuracy,0.990667623833453,Neural Network
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95,F1Score,0.9637883008356545,Neural Network
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96,Precision,0.8601036269430051,Decision Tree
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97,Recall,0.8972972972972973,Decision Tree
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98,Accuracy,0.9669777458722182,Decision Tree
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99,F1Score,0.8783068783068783,Decision Tree
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100,Precision,0.9941176470588236,Logistic Regression
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101,Recall,0.9135135135135135,Logistic Regression
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102,Accuracy,0.9877961234745154,Logistic Regression
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103,F1Score,0.9521126760563381,Logistic Regression
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104,Precision,0.9942196531791907,Neural Network
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105,Recall,0.9297297297297298,Neural Network
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106,Accuracy,0.9899497487437185,Neural Network
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107,F1Score,0.9608938547486033,Neural Network
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108,Precision,0.8609625668449198,Decision Tree
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109,Recall,0.8702702702702703,Decision Tree
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110,Accuracy,0.9641062455132807,Decision Tree
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111,F1Score,0.8655913978494624,Decision Tree
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112,Precision,0.9941176470588236,Logistic Regression
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113,Recall,0.9135135135135135,Logistic Regression
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114,Accuracy,0.9877961234745154,Logistic Regression
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115,F1Score,0.9521126760563381,Logistic Regression
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116,Precision,1.0,Neural Network
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117,Recall,0.9297297297297298,Neural Network
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118,Accuracy,0.990667623833453,Neural Network
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119,F1Score,0.9635854341736695,Neural Network
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