Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 387155 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.7546, kappa: 0.2778, kb_relative_information_score: 95.2018, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7556, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.9191, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7527, kappa: 0.271, kb_relative_information_score: 91.9621, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7551, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.9174, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7477, kappa: 0.2635, kb_relative_information_score: 59.8286, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7429, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.9637, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7544, kappa: 0.2784, kb_relative_information_score: 94.3475, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7543, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9262, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.7258, kappa: 0.1842, kb_relative_information_score: 219.3389, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7373, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.1195, scimark_benchmark: 941.5597, usercpu_time_millis: 2610, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7622, kappa: 0.3105, kb_relative_information_score: 88.3912, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7578, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9451, scimark_benchmark: 944.8364, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7467, kappa: 0.2523, kb_relative_information_score: 92.9681, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.9376, scimark_benchmark: 897.3581, usercpu_time_millis: 150, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7107, kappa: 0.1436, kb_relative_information_score: 98.7702, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7036, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0125, scimark_benchmark: 901.458, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.6988, kappa: 0.1052, kb_relative_information_score: 62.9776, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7436, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9283, scimark_benchmark: 944.8364, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7313, kappa: 0.222, kb_relative_information_score: 61.0837, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.723, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.0038, scimark_benchmark: 1543.739, usercpu_time_millis: 2040, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.6937, kappa: 0.0888, kb_relative_information_score: -302.2717, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7127, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 1.1919, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7107, kappa: 0.1436, kb_relative_information_score: 98.7702, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7036, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7467, kappa: 0.2531, kb_relative_information_score: 57.5983, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7473, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.6843, kappa: 0.0635, kb_relative_information_score: 197.6159, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7116, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.1423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.6739, kappa: 0.0368, kb_relative_information_score: 17.1952, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.714, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7107, kappa: 0.1436, kb_relative_information_score: 98.7702, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7036, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7467, kappa: 0.2531, kb_relative_information_score: 57.5983, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7473, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.6843, kappa: 0.0635, kb_relative_information_score: 197.6159, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7116, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.1423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.6739, kappa: 0.0368, kb_relative_information_score: 17.1952, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.714, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7462, kappa: 0.2623, kb_relative_information_score: 87.9095, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7402, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.9567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: -0.4854, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.7012, kappa: 0.15, kb_relative_information_score: 44.8683, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6928, predictive_accuracy: 0.7126, prior_entropy: 0.7928, recall: 0.7126, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.7756, kappa: 0.3433, kb_relative_information_score: 127.6233, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7769, predictive_accuracy: 0.7968, prior_entropy: 0.7928, recall: 0.7968, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7107, kappa: 0.1436, kb_relative_information_score: 98.7702, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7036, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.7735, kappa: 0.3556, kb_relative_information_score: 105.1457, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7688, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7625, kappa: 0.3102, kb_relative_information_score: 106.5096, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7586, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.9501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: -0.4854, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7523, kappa: 0.3278, kb_relative_information_score: 74.4262, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7566, predictive_accuracy: 0.7487, prior_entropy: 0.7928, recall: 0.7487, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6764, kappa: 0.0397, kb_relative_information_score: 69.0691, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.682, predictive_accuracy: 0.7567, prior_entropy: 0.7928, recall: 0.7567, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7523, kappa: 0.3278, kb_relative_information_score: 70.2735, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7566, predictive_accuracy: 0.7487, prior_entropy: 0.7928, recall: 0.7487, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.3104, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7433, kappa: 0.237, kb_relative_information_score: 95.5344, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7596, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.7311, kappa: 0.2027, kb_relative_information_score: 57.9898, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7342, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.408, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.6732, kappa: 0.0367, kb_relative_information_score: 203.8225, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7541, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.6751, kappa: 0.158, kb_relative_information_score: -41.3367, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6968, predictive_accuracy: 0.6604, prior_entropy: 0.7928, recall: 0.6604, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5827, root_relative_squared_error: 1.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.6937, kappa: 0.0879, kb_relative_information_score: 185.2028, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6999, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.1552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.6616, kappa: 0.0059, kb_relative_information_score: -526.1309, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7002, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.3759, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.1733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.7322, kappa: 0.2066, kb_relative_information_score: 213.1323, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7346, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.6762, kappa: 0.045, kb_relative_information_score: 206.9258, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7634, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4823, root_relative_squared_error: 1.1326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.7662, kappa: 0.3216, kb_relative_information_score: 248.1126, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7624, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4534, root_relative_squared_error: 1.0647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.9802, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.9802, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: -0.5429, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.7523, kappa: 0.2786, kb_relative_information_score: 91.8291, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7475, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7579, kappa: 0.3107, kb_relative_information_score: 71.2969, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7523, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7691, kappa: 0.33, kb_relative_information_score: 82.7106, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7656, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.7484, kappa: 0.2608, kb_relative_information_score: 94.8363, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7469, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.754, kappa: 0.2795, kb_relative_information_score: 96.8435, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.7535, kappa: 0.275, kb_relative_information_score: 91.904, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7539, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.665, kappa: 0.012, kb_relative_information_score: -523.6272, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6711, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 1.3735, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.1712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6591, kb_relative_information_score: 4.3004, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.9526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6701, kappa: 0.0212, kb_relative_information_score: 27.3794, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6621, predictive_accuracy: 0.7527, prior_entropy: 0.7928, recall: 0.7527, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.9762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.6578, kappa: -0.0053, kb_relative_information_score: 188.3061, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5802, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.765, kappa: 0.3153, kb_relative_information_score: 96.7488, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7624, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.7217, kappa: 0.1946, kb_relative_information_score: 61.1062, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7123, predictive_accuracy: 0.7406, prior_entropy: 0.7928, recall: 0.7406, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4376, root_relative_squared_error: 1.0277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.714, kappa: 0.1543, kb_relative_information_score: 103.5866, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7071, predictive_accuracy: 0.7513, prior_entropy: 0.7928, recall: 0.7513, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4298, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.6723, kappa: 0.029, kb_relative_information_score: 182.0995, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6761, predictive_accuracy: 0.7567, prior_entropy: 0.7928, recall: 0.7567, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.1583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.7717, kappa: 0.3475, kb_relative_information_score: 177.0639, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7668, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4349, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7379, kappa: 0.2353, kb_relative_information_score: 70.8318, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7313, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.7371, kappa: 0.2387, kb_relative_information_score: 70.5455, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7294, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.418, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.6716, kappa: 0.0264, kb_relative_information_score: 3.1422, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.671, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7319, kappa: 0.2263, kb_relative_information_score: 64.036, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7237, predictive_accuracy: 0.7487, prior_entropy: 0.7928, recall: 0.7487, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.7003, kappa: 0.1539, kb_relative_information_score: 48.4965, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6937, predictive_accuracy: 0.7086, prior_entropy: 0.7928, recall: 0.7086, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.7288, kappa: 0.219, kb_relative_information_score: 82.1842, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7204, predictive_accuracy: 0.7447, prior_entropy: 0.7928, recall: 0.7447, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4384, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.774, kappa: 0.3555, kb_relative_information_score: 110.3653, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7693, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7277, kappa: 0.1898, kb_relative_information_score: 29.8877, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7426, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.7101, kappa: 0.1442, kb_relative_information_score: 16.2913, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7011, predictive_accuracy: 0.746, prior_entropy: 0.7928, recall: 0.746, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.7107, kappa: 0.1676, kb_relative_information_score: 77.7425, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7008, predictive_accuracy: 0.7273, prior_entropy: 0.7928, recall: 0.7273, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.1512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.7694, kappa: 0.3393, kb_relative_information_score: 107.5699, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7644, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.7029, kappa: 0.1557, kb_relative_information_score: 37.2849, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6948, predictive_accuracy: 0.7139, prior_entropy: 0.7928, recall: 0.7139, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7619, kappa: 0.3028, kb_relative_information_score: 105.9436, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7609, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.7646, kappa: 0.3227, kb_relative_information_score: 97.824, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7594, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.7674, kappa: 0.3308, kb_relative_information_score: 102.5125, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7625, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.9359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7643, kappa: 0.3195, kb_relative_information_score: 102.2713, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7595, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.769, kappa: 0.3333, kb_relative_information_score: 101.8842, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7645, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 11.8812, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5805, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.7712, kappa: 0.3354, kb_relative_information_score: 95.6714, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7685, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.7711, kappa: 0.3387, kb_relative_information_score: 96.3941, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7671, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.6651, kappa: 0.0098, kb_relative_information_score: 164.1841, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6549, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.1169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.6591, kb_relative_information_score: 8.9895, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.6937, kappa: 0.0879, kb_relative_information_score: 185.2028, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6999, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.1552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.7673, kappa: 0.3243, kb_relative_information_score: 93.6386, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7638, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7666, kappa: 0.3313, kb_relative_information_score: 99.6337, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7614, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.9506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.6739, kappa: 0.0343, kb_relative_information_score: 2.34, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6881, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5647, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5647, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5647, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7316, kappa: 0.2272, kb_relative_information_score: 59.3206, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7235, predictive_accuracy: 0.7473, prior_entropy: 0.7928, recall: 0.7473, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7316, kappa: 0.2272, kb_relative_information_score: 59.3206, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7235, predictive_accuracy: 0.7473, prior_entropy: 0.7928, recall: 0.7473, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.6994, kappa: 0.1443, kb_relative_information_score: 39.8718, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6907, predictive_accuracy: 0.7112, prior_entropy: 0.7928, recall: 0.7112, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.522, root_relative_squared_error: 1.2258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7316, kappa: 0.2272, kb_relative_information_score: 59.3206, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7235, predictive_accuracy: 0.7473, prior_entropy: 0.7928, recall: 0.7473, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7316, kappa: 0.2272, kb_relative_information_score: 59.3206, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7235, predictive_accuracy: 0.7473, prior_entropy: 0.7928, recall: 0.7473, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7647, kappa: 0.3072, kb_relative_information_score: 108.2379, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7688, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: -0.4854, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7316, kappa: 0.2272, kb_relative_information_score: 59.3206, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7235, predictive_accuracy: 0.7473, prior_entropy: 0.7928, recall: 0.7473, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7316, kappa: 0.2272, kb_relative_information_score: 59.3206, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7235, predictive_accuracy: 0.7473, prior_entropy: 0.7928, recall: 0.7473, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.7121, kappa: 0.1428, kb_relative_information_score: 63.8623, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7353, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9331,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs