Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 14951 Supervised Classification eeg-eye-state 67133 runs submitted
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67133 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7992, kappa: 0.5943, kb_relative_information_score: 8869.9319, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7993, predictive_accuracy: 0.7991, prior_entropy: 0.9924, recall: 0.7991, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7932, kappa: 0.5817, kb_relative_information_score: 8695.3014, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7931, predictive_accuracy: 0.7934, prior_entropy: 0.9924, recall: 0.7934, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7914, kappa: 0.5784, kb_relative_information_score: 8632.3531, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7914, predictive_accuracy: 0.7913, prior_entropy: 0.9924, recall: 0.7913, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7952, kappa: 0.586, kb_relative_information_score: 8748.0966, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7952, predictive_accuracy: 0.7951, prior_entropy: 0.9924, recall: 0.7951, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.8016, kappa: 0.5991, kb_relative_information_score: 8943.033, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8016, predictive_accuracy: 0.8015, prior_entropy: 0.9924, recall: 0.8015, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.792, kappa: 0.5798, kb_relative_information_score: 8648.5978, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7922, predictive_accuracy: 0.7919, prior_entropy: 0.9924, recall: 0.7919, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7971, kappa: 0.5899, kb_relative_information_score: 8806.9837, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7971, predictive_accuracy: 0.7971, prior_entropy: 0.9924, recall: 0.7971, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.8001, kappa: 0.596, kb_relative_information_score: 8898.3601, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8001, predictive_accuracy: 0.8001, prior_entropy: 0.9924, recall: 0.8001, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9561, kappa: 0.9111, kb_relative_information_score: 12570.0237, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9564, predictive_accuracy: 0.9561, prior_entropy: 0.9924, recall: 0.9561, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3752,
0 likes - 2 downloads - 2 reach - area_under_roc_curve: 0.798, f_measure: 0.8001, kappa: 0.596, kb_relative_information_score: 8900.3907, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8001, predictive_accuracy: 0.8001, prior_entropy: 0.9924, recall: 0.8001, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7953, kappa: 0.5863, kb_relative_information_score: 8754.1884, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7953, predictive_accuracy: 0.7953, prior_entropy: 0.9924, recall: 0.7953, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7879, kappa: 0.5712, kb_relative_information_score: 8530.8238, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7879, predictive_accuracy: 0.788, prior_entropy: 0.9924, recall: 0.788, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7883, kappa: 0.5724, kb_relative_information_score: 8536.9155, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7885, predictive_accuracy: 0.7882, prior_entropy: 0.9924, recall: 0.7882, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 5871.1145, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, recall: 0.8128, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9321, kappa: 0.8626, kb_relative_information_score: 9534.0336, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9328, predictive_accuracy: 0.9323, prior_entropy: 0.9924, recall: 0.9323, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7996, kappa: 0.5947, kb_relative_information_score: 8890.2377, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9924, recall: 0.7998, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7939, kappa: 0.5833, kb_relative_information_score: 8715.6072, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7939, predictive_accuracy: 0.7941, prior_entropy: 0.9924, recall: 0.7941, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7918, kappa: 0.5791, kb_relative_information_score: 8646.5673, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7917, predictive_accuracy: 0.7918, prior_entropy: 0.9924, recall: 0.7918, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8019, kappa: 0.5998, kb_relative_information_score: 8953.186, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.802, predictive_accuracy: 0.8019, prior_entropy: 0.9924, recall: 0.8019, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.798, kappa: 0.5918, kb_relative_information_score: 8837.4425, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.798, predictive_accuracy: 0.7981, prior_entropy: 0.9924, recall: 0.7981, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7964, kappa: 0.5886, kb_relative_information_score: 8786.6778, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7965, predictive_accuracy: 0.7964, prior_entropy: 0.9924, recall: 0.7964, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7963, kappa: 0.5884, kb_relative_information_score: 8782.6166, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9924, recall: 0.7963, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.797, kappa: 0.5899, kb_relative_information_score: 8802.9225, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7971, predictive_accuracy: 0.7969, prior_entropy: 0.9924, recall: 0.7969, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.8002, kappa: 0.596, kb_relative_information_score: 8904.4519, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9924, recall: 0.8003, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7872, kappa: 0.5698, kb_relative_information_score: 8508.4873, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7871, predictive_accuracy: 0.7872, prior_entropy: 0.9924, recall: 0.7872, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7974, kappa: 0.5903, kb_relative_information_score: 8817.1366, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7973, predictive_accuracy: 0.7974, prior_entropy: 0.9924, recall: 0.7974, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7988, kappa: 0.5933, kb_relative_information_score: 8859.7789, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7988, predictive_accuracy: 0.7988, prior_entropy: 0.9924, recall: 0.7988, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7881, kappa: 0.5719, kb_relative_information_score: 8534.8849, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7882, predictive_accuracy: 0.7881, prior_entropy: 0.9924, recall: 0.7881, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7971, kappa: 0.5899, kb_relative_information_score: 8811.0448, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7971, predictive_accuracy: 0.7972, prior_entropy: 0.9924, recall: 0.7972, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7906, kappa: 0.5769, kb_relative_information_score: 8610.0167, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7907, predictive_accuracy: 0.7906, prior_entropy: 0.9924, recall: 0.7906, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7912, kappa: 0.5781, kb_relative_information_score: 8628.292, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7913, predictive_accuracy: 0.7912, prior_entropy: 0.9924, recall: 0.7912, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7887, kappa: 0.573, kb_relative_information_score: 8553.1602, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7888, predictive_accuracy: 0.7887, prior_entropy: 0.9924, recall: 0.7887, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.8031, kappa: 0.6019, kb_relative_information_score: 8989.7365, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8031, predictive_accuracy: 0.8031, prior_entropy: 0.9924, recall: 0.8031, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7959, kappa: 0.5875, kb_relative_information_score: 8768.4025, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7959, predictive_accuracy: 0.7958, prior_entropy: 0.9924, recall: 0.7958, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7935, kappa: 0.5829, kb_relative_information_score: 8697.3319, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7936, predictive_accuracy: 0.7935, prior_entropy: 0.9924, recall: 0.7935, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7945, kappa: 0.5846, kb_relative_information_score: 8727.7907, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7945, predictive_accuracy: 0.7945, prior_entropy: 0.9924, recall: 0.7945, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7933, kappa: 0.5823, kb_relative_information_score: 8693.2708, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7934, predictive_accuracy: 0.7933, prior_entropy: 0.9924, recall: 0.7933, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7945, kappa: 0.5845, kb_relative_information_score: 8729.8213, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7944, predictive_accuracy: 0.7945, prior_entropy: 0.9924, recall: 0.7945, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7927, kappa: 0.5809, kb_relative_information_score: 8679.0567, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7927, predictive_accuracy: 0.7929, prior_entropy: 0.9924, recall: 0.7929, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.8003, kappa: 0.5964, kb_relative_information_score: 8904.4519, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8003, predictive_accuracy: 0.8003, prior_entropy: 0.9924, recall: 0.8003, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7937, kappa: 0.583, kb_relative_information_score: 8703.4237, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7937, predictive_accuracy: 0.7937, prior_entropy: 0.9924, recall: 0.7937, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7915, kappa: 0.5788, kb_relative_information_score: 8636.4143, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7916, predictive_accuracy: 0.7915, prior_entropy: 0.9924, recall: 0.7915, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.8059, kappa: 0.6077, kb_relative_information_score: 9075.0212, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8059, predictive_accuracy: 0.8059, prior_entropy: 0.9924, recall: 0.8059, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8025, kappa: 0.6009, kb_relative_information_score: 8973.4918, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8026, predictive_accuracy: 0.8025, prior_entropy: 0.9924, recall: 0.8025, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.8011, kappa: 0.5978, kb_relative_information_score: 8932.8801, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.801, predictive_accuracy: 0.8012, prior_entropy: 0.9924, recall: 0.8012, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7902, kappa: 0.5761, kb_relative_information_score: 8595.8026, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7903, predictive_accuracy: 0.7901, prior_entropy: 0.9924, recall: 0.7901, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7939, kappa: 0.5836, kb_relative_information_score: 8709.5155, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.794, predictive_accuracy: 0.7939, prior_entropy: 0.9924, recall: 0.7939, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7991, kappa: 0.5941, kb_relative_information_score: 8867.9013, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7992, predictive_accuracy: 0.7991, prior_entropy: 0.9924, recall: 0.7991, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.8008, kappa: 0.5974, kb_relative_information_score: 8922.7271, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8008, predictive_accuracy: 0.8009, prior_entropy: 0.9924, recall: 0.8009, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7935, kappa: 0.5829, kb_relative_information_score: 8697.3319, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7936, predictive_accuracy: 0.7935, prior_entropy: 0.9924, recall: 0.7935, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7898, kappa: 0.5752, kb_relative_information_score: 8585.6496, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7898, predictive_accuracy: 0.7898, prior_entropy: 0.9924, recall: 0.7898, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7903, kappa: 0.5762, kb_relative_information_score: 8603.9249, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7903, predictive_accuracy: 0.7904, prior_entropy: 0.9924, recall: 0.7904, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7971, kappa: 0.5899, kb_relative_information_score: 8809.0142, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7971, predictive_accuracy: 0.7971, prior_entropy: 0.9924, recall: 0.7971, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7905, kappa: 0.5769, kb_relative_information_score: 8601.8943, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7907, predictive_accuracy: 0.7903, prior_entropy: 0.9924, recall: 0.7903, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7917, kappa: 0.579, kb_relative_information_score: 8642.5061, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7917, predictive_accuracy: 0.7917, prior_entropy: 0.9924, recall: 0.7917, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7961, kappa: 0.5883, kb_relative_information_score: 8774.4943, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7964, predictive_accuracy: 0.796, prior_entropy: 0.9924, recall: 0.796, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7886, kappa: 0.5729, kb_relative_information_score: 8547.0685, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7887, predictive_accuracy: 0.7885, prior_entropy: 0.9924, recall: 0.7885, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7968, kappa: 0.5894, kb_relative_information_score: 8796.8307, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7969, predictive_accuracy: 0.7967, prior_entropy: 0.9924, recall: 0.7967, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7968, kappa: 0.5893, kb_relative_information_score: 8798.8613, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7968, predictive_accuracy: 0.7968, prior_entropy: 0.9924, recall: 0.7968, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8012, kappa: 0.5982, kb_relative_information_score: 8934.9107, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8012, predictive_accuracy: 0.8013, prior_entropy: 0.9924, recall: 0.8013, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7972, kappa: 0.59, kb_relative_information_score: 8813.0754, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7972, predictive_accuracy: 0.7973, prior_entropy: 0.9924, recall: 0.7973, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.8033, kappa: 0.6025, kb_relative_information_score: 8997.8589, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8033, predictive_accuracy: 0.8033, prior_entropy: 0.9924, recall: 0.8033, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.796, kappa: 0.5877, kb_relative_information_score: 8772.4637, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.796, predictive_accuracy: 0.7959, prior_entropy: 0.9924, recall: 0.7959, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.794, kappa: 0.5836, kb_relative_information_score: 8717.6378, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.794, predictive_accuracy: 0.7941, prior_entropy: 0.9924, recall: 0.7941, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.8003, kappa: 0.5963, kb_relative_information_score: 8908.513, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8003, predictive_accuracy: 0.8004, prior_entropy: 0.9924, recall: 0.8004, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7901, kappa: 0.5757, kb_relative_information_score: 8597.8332, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7901, predictive_accuracy: 0.7902, prior_entropy: 0.9924, recall: 0.7902, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7936, kappa: 0.5827, kb_relative_information_score: 8703.4237, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7935, predictive_accuracy: 0.7937, prior_entropy: 0.9924, recall: 0.7937, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7957, kappa: 0.5869, kb_relative_information_score: 8766.3719, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7956, predictive_accuracy: 0.7957, prior_entropy: 0.9924, recall: 0.7957, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7885, kappa: 0.5723, kb_relative_information_score: 8549.0991, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7884, predictive_accuracy: 0.7886, prior_entropy: 0.9924, recall: 0.7886, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.797, kappa: 0.5899, kb_relative_information_score: 8804.9531, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7971, predictive_accuracy: 0.797, prior_entropy: 0.9924, recall: 0.797, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7937, kappa: 0.5828, kb_relative_information_score: 8705.4543, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7936, predictive_accuracy: 0.7937, prior_entropy: 0.9924, recall: 0.7937, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7986, kappa: 0.5928, kb_relative_information_score: 8857.7483, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9924, recall: 0.7987, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7961, kappa: 0.5876, kb_relative_information_score: 8780.586, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.796, predictive_accuracy: 0.7962, prior_entropy: 0.9924, recall: 0.7962, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.8003, kappa: 0.5965, kb_relative_information_score: 8902.4213, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8004, predictive_accuracy: 0.8002, prior_entropy: 0.9924, recall: 0.8002, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.447, root_relative_squared_error: 0.8987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7927, kappa: 0.5811, kb_relative_information_score: 8674.9955, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7928, predictive_accuracy: 0.7927, prior_entropy: 0.9924, recall: 0.7927, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7924, kappa: 0.5804, kb_relative_information_score: 8662.812, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7924, predictive_accuracy: 0.7923, prior_entropy: 0.9924, recall: 0.7923, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.794, kappa: 0.5838, kb_relative_information_score: 8713.5766, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7941, predictive_accuracy: 0.794, prior_entropy: 0.9924, recall: 0.794, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7872, kappa: 0.57, kb_relative_information_score: 8506.4567, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7873, predictive_accuracy: 0.7872, prior_entropy: 0.9924, recall: 0.7872, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.804, kappa: 0.6038, kb_relative_information_score: 9020.1953, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.804, predictive_accuracy: 0.8041, prior_entropy: 0.9924, recall: 0.8041, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7953, kappa: 0.5862, kb_relative_information_score: 8756.219, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7953, predictive_accuracy: 0.7954, prior_entropy: 0.9924, recall: 0.7954, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.798, kappa: 0.5919, kb_relative_information_score: 8835.4119, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7981, predictive_accuracy: 0.798, prior_entropy: 0.9924, recall: 0.798, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7891, kappa: 0.5738, kb_relative_information_score: 8563.3132, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7891, predictive_accuracy: 0.7891, prior_entropy: 0.9924, recall: 0.7891, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7967, kappa: 0.5892, kb_relative_information_score: 8796.8307, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7967, predictive_accuracy: 0.7967, prior_entropy: 0.9924, recall: 0.7967, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7861, kappa: 0.5676, kb_relative_information_score: 8471.9367, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7861, predictive_accuracy: 0.786, prior_entropy: 0.9924, recall: 0.786, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7896, kappa: 0.5747, kb_relative_information_score: 8581.5885, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7896, predictive_accuracy: 0.7897, prior_entropy: 0.9924, recall: 0.7897, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7984, kappa: 0.5926, kb_relative_information_score: 8847.5954, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7985, predictive_accuracy: 0.7984, prior_entropy: 0.9924, recall: 0.7984, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7929, kappa: 0.5815, kb_relative_information_score: 8679.0567, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.793, predictive_accuracy: 0.7929, prior_entropy: 0.9924, recall: 0.7929, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 8632.3531, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7912, predictive_accuracy: 0.7913, prior_entropy: 0.9924, recall: 0.7913, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7941, kappa: 0.5836, kb_relative_information_score: 8717.6378, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.794, predictive_accuracy: 0.7941, prior_entropy: 0.9924, recall: 0.7941, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7918, kappa: 0.5792, kb_relative_information_score: 8648.5978, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7918, predictive_accuracy: 0.7919, prior_entropy: 0.9924, recall: 0.7919, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7944, kappa: 0.5846, kb_relative_information_score: 8725.7602, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7945, predictive_accuracy: 0.7944, prior_entropy: 0.9924, recall: 0.7944, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7906, kappa: 0.577, kb_relative_information_score: 8610.0167, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7907, predictive_accuracy: 0.7906, prior_entropy: 0.9924, recall: 0.7906, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7898, kappa: 0.5752, kb_relative_information_score: 8585.6496, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7898, predictive_accuracy: 0.7898, prior_entropy: 0.9924, recall: 0.7898, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7876, kappa: 0.5706, kb_relative_information_score: 8520.6708, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7875, predictive_accuracy: 0.7877, prior_entropy: 0.9924, recall: 0.7877, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7977, kappa: 0.5912, kb_relative_information_score: 8823.2284, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7978, predictive_accuracy: 0.7976, prior_entropy: 0.9924, recall: 0.7976, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7964, kappa: 0.5888, kb_relative_information_score: 8782.6166, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7966, predictive_accuracy: 0.7963, prior_entropy: 0.9924, recall: 0.7963, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9075,

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