Task
Supervised Classification on eye_movements

Supervised Classification on eye_movements

Task 3897 Supervised Classification eye_movements 287 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.3829, kappa: 0.1549, kb_relative_information_score: 2245.5329, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4392, predictive_accuracy: 0.4357, prior_entropy: 1.5663, recall: 0.4357, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.1274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.6037, kappa: 0.3908, kb_relative_information_score: 3184.5773, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6207, predictive_accuracy: 0.6042, prior_entropy: 1.5663, recall: 0.6042, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.5428, kappa: 0.2946, kb_relative_information_score: 2541.7631, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5778, predictive_accuracy: 0.5463, prior_entropy: 1.5663, recall: 0.5463, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.4736, kappa: 0.1971, kb_relative_information_score: 2034.9132, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4771, predictive_accuracy: 0.4744, prior_entropy: 1.5663, recall: 0.4744, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.3829, kappa: 0.1549, kb_relative_information_score: 2245.5329, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4392, predictive_accuracy: 0.4357, prior_entropy: 1.5663, recall: 0.4357, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.1274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.5551, kappa: 0.315, kb_relative_information_score: 2638.0821, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5722, predictive_accuracy: 0.555, prior_entropy: 1.5663, recall: 0.555, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7166, kappa: 0.5672, kb_relative_information_score: 6610.8273, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7178, predictive_accuracy: 0.7159, prior_entropy: 1.5663, recall: 0.7159, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.4295, kappa: 0.1428, kb_relative_information_score: 2226.3271, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4451, predictive_accuracy: 0.4407, prior_entropy: 1.5663, recall: 0.4407, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.729, kappa: 0.5867, kb_relative_information_score: 6486.7261, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7298, predictive_accuracy: 0.7286, prior_entropy: 1.5663, recall: 0.7286, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6234, kappa: 0.4193, kb_relative_information_score: 3465.4563, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6352, predictive_accuracy: 0.6225, prior_entropy: 1.5663, recall: 0.6225, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.3882, kappa: 0.1304, kb_relative_information_score: 1782.7184, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4417, predictive_accuracy: 0.4285, prior_entropy: 1.5663, recall: 0.4285, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.5619, kappa: 0.3275, kb_relative_information_score: 3355.603, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5669, predictive_accuracy: 0.5611, prior_entropy: 1.5663, recall: 0.5611, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.5082, kappa: 0.2424, kb_relative_information_score: 2866.6007, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5182, predictive_accuracy: 0.508, prior_entropy: 1.5663, recall: 0.508, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.2824, kappa: 0.0567, kb_relative_information_score: 990.3288, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.3949, predictive_accuracy: 0.382, prior_entropy: 1.5663, recall: 0.382, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4687, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.6937, kappa: 0.533, kb_relative_information_score: 4775.9354, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6945, predictive_accuracy: 0.6933, prior_entropy: 1.5663, recall: 0.6933, relative_absolute_error: 0.6491, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.6319, kappa: 0.4326, kb_relative_information_score: 2765.4722, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6398, predictive_accuracy: 0.6301, prior_entropy: 1.5663, recall: 0.6301, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.2186, kb_relative_information_score: 0.1779, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4684, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.4416, kappa: 0.1536, kb_relative_information_score: 1811.5815, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4573, predictive_accuracy: 0.4467, prior_entropy: 1.5663, recall: 0.4467, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.5611, kappa: 0.3264, kb_relative_information_score: 3730.6931, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5687, predictive_accuracy: 0.5606, prior_entropy: 1.5663, recall: 0.5606, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.6222, kappa: 0.4206, kb_relative_information_score: 4656.0439, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6268, predictive_accuracy: 0.6211, prior_entropy: 1.5663, recall: 0.6211, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.6592, kappa: 0.4824, kb_relative_information_score: 5620.2246, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6592, predictive_accuracy: 0.6592, prior_entropy: 1.5663, recall: 0.6592, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.4294, kappa: 0.1436, kb_relative_information_score: 2226.611, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4457, predictive_accuracy: 0.4411, prior_entropy: 1.5663, recall: 0.4411, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.5084, kappa: 0.2431, kb_relative_information_score: 1278.3636, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5188, predictive_accuracy: 0.5085, prior_entropy: 1.5663, recall: 0.5085, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.482, kappa: 0.202, kb_relative_information_score: 2575.0463, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5097, predictive_accuracy: 0.4877, prior_entropy: 1.5663, recall: 0.4877, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.4222, kappa: 0.1527, kb_relative_information_score: 1971.3964, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4675, predictive_accuracy: 0.4455, prior_entropy: 1.5663, recall: 0.4455, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7115, kappa: 0.5576, kb_relative_information_score: 3847.9757, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7149, predictive_accuracy: 0.7104, prior_entropy: 1.5663, recall: 0.7104, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.4522, kappa: 0.16, kb_relative_information_score: 2225.3755, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4576, predictive_accuracy: 0.4539, prior_entropy: 1.5663, recall: 0.4539, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4871, root_relative_squared_error: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.6592, kappa: 0.4824, kb_relative_information_score: 5620.2246, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6592, predictive_accuracy: 0.6592, prior_entropy: 1.5663, recall: 0.6592, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.4344, kappa: 0.1442, kb_relative_information_score: 2224.8841, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4483, predictive_accuracy: 0.4427, prior_entropy: 1.5663, recall: 0.4427, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.2933, kappa: 0.0623, kb_relative_information_score: 1720.2976, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.312, predictive_accuracy: 0.4182, prior_entropy: 1.5663, recall: 0.4182, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.5498, kappa: 0.3134, kb_relative_information_score: 3615.7143, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5508, predictive_accuracy: 0.5492, prior_entropy: 1.5663, recall: 0.5492, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.6166, kappa: 0.4174, kb_relative_information_score: 5139.2897, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6166, predictive_accuracy: 0.6166, prior_entropy: 1.5663, recall: 0.6166, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6381, kappa: 0.449, kb_relative_information_score: 5473.7943, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6406, predictive_accuracy: 0.6383, prior_entropy: 1.5663, recall: 0.6383, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4911, root_relative_squared_error: 1.0484, usercpu_time_millis: 2958.927, usercpu_time_millis_testing: 343.284, usercpu_time_millis_training: 2615.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 1396.9235, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7297, kappa: 0.5867, kb_relative_information_score: 6837.8887, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7314, predictive_accuracy: 0.729, prior_entropy: 1.5663, recall: 0.729, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.6567, kappa: 0.4782, kb_relative_information_score: 5751.5543, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6568, predictive_accuracy: 0.6566, prior_entropy: 1.5663, recall: 0.6566, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.0214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7303, kappa: 0.5874, kb_relative_information_score: 6844.4113, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7325, predictive_accuracy: 0.7296, prior_entropy: 1.5663, recall: 0.7296, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7227, kappa: 0.5757, kb_relative_information_score: 6730.3348, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7253, predictive_accuracy: 0.722, prior_entropy: 1.5663, recall: 0.722, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.919, usercpu_time_millis: 1876.406, usercpu_time_millis_testing: 313.493, usercpu_time_millis_training: 1562.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.5734, kappa: 0.3452, kb_relative_information_score: 4461.484, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5808, predictive_accuracy: 0.5728, prior_entropy: 1.5663, recall: 0.5728, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.1393, usercpu_time_millis: 303.256, usercpu_time_millis_testing: 10.062, usercpu_time_millis_training: 293.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.5686, kappa: 0.3396, kb_relative_information_score: 4387.444, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5739, predictive_accuracy: 0.5687, prior_entropy: 1.5663, recall: 0.5687, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.1448, usercpu_time_millis: 6.297, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 6.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.5094, kappa: 0.2625, kb_relative_information_score: 3571.0851, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5156, predictive_accuracy: 0.5124, prior_entropy: 1.5663, recall: 0.5124, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.2171, usercpu_time_millis: 2.454, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 2.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.4901, kappa: 0.2135, kb_relative_information_score: 3160.6351, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4999, predictive_accuracy: 0.4893, prior_entropy: 1.5663, recall: 0.4893, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.2457, usercpu_time_millis: 449.997, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 448.977,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.718, kappa: 0.5681, kb_relative_information_score: 6655.0296, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7213, predictive_accuracy: 0.7173, prior_entropy: 1.5663, recall: 0.7173, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9269, usercpu_time_millis: 236.352, usercpu_time_millis_testing: 6.08, usercpu_time_millis_training: 230.272,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 930.404, usercpu_time_millis: 330, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 930.404, usercpu_time_millis: 340, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 938.1282, usercpu_time_millis: 330, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 941.4991, usercpu_time_millis: 310, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.6345, kappa: 0.4424, kb_relative_information_score: 3761.2255, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6358, predictive_accuracy: 0.6341, prior_entropy: 1.5663, recall: 0.6341, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8494, scimark_benchmark: 903.2737, usercpu_time_millis: 4370, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 944.0133, usercpu_time_millis: 590, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.638, kappa: 0.4509, kb_relative_information_score: 4651.7556, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6378, predictive_accuracy: 0.6383, prior_entropy: 1.5663, recall: 0.6383, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8484, scimark_benchmark: 926.5462, usercpu_time_millis: 27320, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 27170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7115, kappa: 0.5576, kb_relative_information_score: 3847.9757, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7149, predictive_accuracy: 0.7104, prior_entropy: 1.5663, recall: 0.7104, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.8122, scimark_benchmark: 938.988, usercpu_time_millis: 12240, usercpu_time_millis_testing: 1210, usercpu_time_millis_training: 11030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.7369, kappa: 0.5976, kb_relative_information_score: 4163.9005, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7387, predictive_accuracy: 0.7361, prior_entropy: 1.5663, recall: 0.7361, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7883, scimark_benchmark: 937.5683, usercpu_time_millis: 502730, usercpu_time_millis_testing: 69720, usercpu_time_millis_training: 433010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.7345, kappa: 0.5941, kb_relative_information_score: 4192.9787, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7363, predictive_accuracy: 0.7338, prior_entropy: 1.5663, recall: 0.7338, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7883, scimark_benchmark: 926.5462, usercpu_time_millis: 224510, usercpu_time_millis_testing: 32370, usercpu_time_millis_training: 192140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7229, kappa: 0.5764, kb_relative_information_score: 4202.8533, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7244, predictive_accuracy: 0.7221, prior_entropy: 1.5663, recall: 0.7221, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7913, scimark_benchmark: 899.0468, usercpu_time_millis: 109810, usercpu_time_millis_testing: 7280, usercpu_time_millis_training: 102530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.704, kappa: 0.548, kb_relative_information_score: 4158.1134, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7054, predictive_accuracy: 0.7034, prior_entropy: 1.5663, recall: 0.7034, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.8035, scimark_benchmark: 869.7667, usercpu_time_millis: 75120, usercpu_time_millis_testing: 3470, usercpu_time_millis_training: 71650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.6719, kappa: 0.4992, kb_relative_information_score: 4179.08, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.673, predictive_accuracy: 0.6712, prior_entropy: 1.5663, recall: 0.6712, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.8193, scimark_benchmark: 934.929, usercpu_time_millis: 32880, usercpu_time_millis_testing: 1740, usercpu_time_millis_training: 31140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.5191, kappa: 0.2623, kb_relative_information_score: 2337.6252, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5255, predictive_accuracy: 0.5189, prior_entropy: 1.5663, recall: 0.5189, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9339, scimark_benchmark: 936.1714, usercpu_time_millis: 520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.394, kappa: 0.1502, kb_relative_information_score: 1219.6813, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4182, predictive_accuracy: 0.4207, prior_entropy: 1.5663, recall: 0.4207, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9774, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.394, kappa: 0.1502, kb_relative_information_score: 1219.6813, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4182, predictive_accuracy: 0.4207, prior_entropy: 1.5663, recall: 0.4207, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9774, scimark_benchmark: 936.1714, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.394, kappa: 0.1502, kb_relative_information_score: 1219.6813, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4182, predictive_accuracy: 0.4207, prior_entropy: 1.5663, recall: 0.4207, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9774, scimark_benchmark: 936.1714, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.394, kappa: 0.1502, kb_relative_information_score: 1219.6813, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4182, predictive_accuracy: 0.4207, prior_entropy: 1.5663, recall: 0.4207, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9774, scimark_benchmark: 929.0296, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.394, kappa: 0.1502, kb_relative_information_score: 1219.6813, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4182, predictive_accuracy: 0.4207, prior_entropy: 1.5663, recall: 0.4207, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9774, scimark_benchmark: 929.0296, usercpu_time_millis: 70, usercpu_time_millis_training: 70,

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