Task
Supervised Classification on fri_c0_100_10

Supervised Classification on fri_c0_100_10

Task 3673 Supervised Classification fri_c0_100_10 754 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6782, kappa: 0.3483, kb_relative_information_score: 29.3975, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.827, kappa: 0.6502, kb_relative_information_score: 42.4095, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8383, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8699, kappa: 0.7368, kb_relative_information_score: 61.2445, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9931, recall: 0.87, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.7945, kappa: 0.5859, kb_relative_information_score: 43.8578, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8141, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8699, kappa: 0.7368, kb_relative_information_score: 45.7279, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9931, recall: 0.87, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.755, kappa: 0.5052, kb_relative_information_score: 42.5166, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7662, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8003, kappa: 0.5976, kb_relative_information_score: 59.8288, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8304, kappa: 0.6586, kb_relative_information_score: 63.2833, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8322, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7007, kappa: 0.3988, kb_relative_information_score: 31.7252, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7037, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.6845, kappa: 0.3621, kb_relative_information_score: 35.2962, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6906, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.6782, kappa: 0.3483, kb_relative_information_score: 27.121, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.6782, kappa: 0.3483, kb_relative_information_score: 27.121, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7307, kappa: 0.4595, kb_relative_information_score: 31.0459, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7535, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7995, kappa: 0.5943, kb_relative_information_score: 58.8113, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7672, kappa: 0.5287, kb_relative_information_score: 37.6168, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7722, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.819, kappa: 0.6334, kb_relative_information_score: 20.3973, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8206, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.1774, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7644, kappa: 0.5248, kb_relative_information_score: 35.176, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7789, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.6808, kappa: 0.3587, kb_relative_information_score: 33.0689, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6837, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.6808, kappa: 0.3587, kb_relative_information_score: 33.0689, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6837, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7297, kappa: 0.4534, kb_relative_information_score: 42.7025, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8498, kappa: 0.6964, kb_relative_information_score: 46.003, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 59.5013, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8305, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8498, kappa: 0.6964, kb_relative_information_score: 46.003, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.84, kappa: 0.6768, kb_relative_information_score: 67.5237, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4, root_relative_squared_error: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7297, kappa: 0.4534, kb_relative_information_score: 42.7025, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7252, kappa: 0.4444, kb_relative_information_score: 34.8877, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7328, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6983, kappa: 0.389, kb_relative_information_score: 39.1315, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6988, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8279, kappa: 0.6516, kb_relative_information_score: 38.7562, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8343, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6983, kappa: 0.389, kb_relative_information_score: 39.1315, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6988, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.827, kappa: 0.6502, kb_relative_information_score: 42.3066, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8383, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8498, kappa: 0.6964, kb_relative_information_score: 46.003, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8403, kappa: 0.6781, kb_relative_information_score: 48.7422, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7659, kappa: 0.5267, kb_relative_information_score: 31.1091, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.775, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.7297, kappa: 0.4534, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.8098, kappa: 0.6154, kb_relative_information_score: 61.4397, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8097, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8762, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.744, kappa: 0.4835, kb_relative_information_score: 49.2715, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7574, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5, root_relative_squared_error: 1.005, scimark_benchmark: 1631.1992, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8305, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.8098, kappa: 0.6154, kb_relative_information_score: 61.4397, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8097, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8762, scimark_benchmark: 1377.8832, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8305, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, scimark_benchmark: 1538.9719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.744, kappa: 0.4835, kb_relative_information_score: 49.2715, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7574, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5, root_relative_squared_error: 1.005, scimark_benchmark: 1338.7495, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7604, kappa: 0.5171, kb_relative_information_score: 49.042, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7614, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9024, scimark_benchmark: 1908.2191, usercpu_time_millis: 328.125, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7594, kappa: 0.5132, kb_relative_information_score: 50.6481, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7594, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9715, scimark_benchmark: 1908.2191, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 60.6119, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8051, scimark_benchmark: 1361.3604, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.6456, kappa: 0.3177, kb_relative_information_score: 33.7742, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.732, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9454, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7075, kappa: 0.4154, kb_relative_information_score: 28.4184, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7365, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8347, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.5281, kappa: 0.0447, kb_relative_information_score: 8.1056, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5272, predictive_accuracy: 0.53, prior_entropy: 0.9931, recall: 0.53, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0552, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7644, kappa: 0.5248, kb_relative_information_score: 35.176, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7789, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8258, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3556, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9428, usercpu_time_millis: 0.045, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 59.4116, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8989, usercpu_time_millis: 2.33, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 2.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.798, kappa: 0.591, kb_relative_information_score: 59.4116, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.802, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8989, usercpu_time_millis: 0.614, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7863, kappa: 0.5679, kb_relative_information_score: 57.3836, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7961, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9211, usercpu_time_millis: 2.24, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7884, kappa: 0.5714, kb_relative_information_score: 57.3836, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7908, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9211, usercpu_time_millis: 1.644, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.8494, kappa: 0.6951, kb_relative_information_score: 69.5517, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7785, usercpu_time_millis: 4.888, usercpu_time_millis_testing: 1.176, usercpu_time_millis_training: 3.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7892, kappa: 0.5732, kb_relative_information_score: 57.3836, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9211, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, usercpu_time_millis: 0.068, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3556, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9428, usercpu_time_millis: 0.068, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.8098, kappa: 0.6154, kb_relative_information_score: 61.4397, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8097, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8762, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.342,

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

OpenML bootcamp

From your own software

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

OpenML APIs