Task
Supervised Classification on wind

Supervised Classification on wind

Task 3712 Supervised Classification wind 552 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8435, kappa: 0.6856, kb_relative_information_score: 3746.5522, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8434, predictive_accuracy: 0.8435, prior_entropy: 0.9969, recall: 0.8435, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8316, kappa: 0.6625, kb_relative_information_score: 3670.1611, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8326, predictive_accuracy: 0.8315, prior_entropy: 0.9969, recall: 0.8315, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8368, kappa: 0.6728, kb_relative_information_score: 3724.9147, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8378, predictive_accuracy: 0.8366, prior_entropy: 0.9969, recall: 0.8366, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8403, kappa: 0.6802, kb_relative_information_score: 3872.4166, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8421, predictive_accuracy: 0.8401, prior_entropy: 0.9969, recall: 0.8401, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8621, kappa: 0.7228, kb_relative_information_score: 4008.1474, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8631, predictive_accuracy: 0.8625, prior_entropy: 0.9969, recall: 0.8625, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8368, kappa: 0.6728, kb_relative_information_score: 3724.9147, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8378, predictive_accuracy: 0.8366, prior_entropy: 0.9969, recall: 0.8366, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8406, kappa: 0.6797, kb_relative_information_score: 3887.2579, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8405, predictive_accuracy: 0.8406, prior_entropy: 0.9969, recall: 0.8406, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8485, kappa: 0.6957, kb_relative_information_score: 4571.5371, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8485, predictive_accuracy: 0.8485, prior_entropy: 0.9969, recall: 0.8485, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8246, kappa: 0.6473, kb_relative_information_score: 3564.4065, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.826, predictive_accuracy: 0.8252, prior_entropy: 0.9969, recall: 0.8252, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8384, kappa: 0.6753, kb_relative_information_score: 3850.6219, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8386, predictive_accuracy: 0.8386, prior_entropy: 0.9969, recall: 0.8386, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8232, kappa: 0.6446, kb_relative_information_score: 3981.7976, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8233, predictive_accuracy: 0.8234, prior_entropy: 0.9969, recall: 0.8234, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.83, kappa: 0.6581, kb_relative_information_score: 4241.7932, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8308, predictive_accuracy: 0.8304, prior_entropy: 0.9969, recall: 0.8304, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.843, kappa: 0.6848, kb_relative_information_score: 3905.001, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.843, predictive_accuracy: 0.843, prior_entropy: 0.9969, recall: 0.843, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.808, kappa: 0.614, kb_relative_information_score: 4002.3407, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8092, predictive_accuracy: 0.8086, prior_entropy: 0.9969, recall: 0.8086, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8551, kappa: 0.7087, kb_relative_information_score: 4643.3168, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8555, predictive_accuracy: 0.8553, prior_entropy: 0.9969, recall: 0.8553, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8546, kappa: 0.7081, kb_relative_information_score: 4084.4604, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8547, predictive_accuracy: 0.8546, prior_entropy: 0.9969, recall: 0.8546, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8469, kappa: 0.6925, kb_relative_information_score: 3640.4941, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8469, predictive_accuracy: 0.847, prior_entropy: 0.9969, recall: 0.847, relative_absolute_error: 0.4786, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3701, kb_relative_information_score: -0.0062, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.2836, predictive_accuracy: 0.5326, prior_entropy: 0.9969, recall: 0.5326, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.844, kappa: 0.6865, kb_relative_information_score: 3956.3391, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.844, predictive_accuracy: 0.8441, prior_entropy: 0.9969, recall: 0.8441, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8286, kappa: 0.6556, kb_relative_information_score: 3830.9994, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8286, predictive_accuracy: 0.8286, prior_entropy: 0.9969, recall: 0.8286, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8363, kappa: 0.6713, kb_relative_information_score: 3899.5163, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8364, predictive_accuracy: 0.8363, prior_entropy: 0.9969, recall: 0.8363, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8088, kappa: 0.6156, kb_relative_information_score: 4018.2537, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8099, predictive_accuracy: 0.8094, prior_entropy: 0.9969, recall: 0.8094, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8312, kappa: 0.6609, kb_relative_information_score: 4050.2441, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8312, predictive_accuracy: 0.8313, prior_entropy: 0.9969, recall: 0.8313, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8086, kappa: 0.6152, kb_relative_information_score: 4016.6097, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8098, predictive_accuracy: 0.8092, prior_entropy: 0.9969, recall: 0.8092, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8545, kappa: 0.7076, kb_relative_information_score: 3865.703, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8548, predictive_accuracy: 0.8547, prior_entropy: 0.9969, recall: 0.8547, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.8518, kappa: 0.702, kb_relative_information_score: 4616.0416, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8521, predictive_accuracy: 0.852, prior_entropy: 0.9969, recall: 0.852, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8213, kappa: 0.6407, kb_relative_information_score: 4168.1172, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.822, predictive_accuracy: 0.8217, prior_entropy: 0.9969, recall: 0.8217, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.865, kappa: 0.7287, kb_relative_information_score: 4000.7042, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.865, predictive_accuracy: 0.8651, prior_entropy: 0.9969, recall: 0.8651, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8456, kappa: 0.6897, kb_relative_information_score: 4533.5383, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8457, predictive_accuracy: 0.8458, prior_entropy: 0.9969, recall: 0.8458, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8372, kappa: 0.6729, kb_relative_information_score: 4422.863, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8373, predictive_accuracy: 0.8374, prior_entropy: 0.9969, recall: 0.8374, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8135, kappa: 0.6256, kb_relative_information_score: 4049.3171, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8136, predictive_accuracy: 0.8135, prior_entropy: 0.9969, recall: 0.8135, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8312, kappa: 0.6609, kb_relative_information_score: 4050.2441, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8312, predictive_accuracy: 0.8313, prior_entropy: 0.9969, recall: 0.8313, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8088, kappa: 0.6155, kb_relative_information_score: 4017.1079, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.81, predictive_accuracy: 0.8094, prior_entropy: 0.9969, recall: 0.8094, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8291, kappa: 0.6593, kb_relative_information_score: 3219.8448, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8352, predictive_accuracy: 0.829, prior_entropy: 0.9969, recall: 0.829, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8472, kappa: 0.6928, kb_relative_information_score: 3886.2957, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8487, predictive_accuracy: 0.8477, prior_entropy: 0.9969, recall: 0.8477, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7975, kappa: 0.5933, kb_relative_information_score: 3895.6463, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.7975, predictive_accuracy: 0.7975, prior_entropy: 0.9969, recall: 0.7975, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.5334, kappa: 0.0621, kb_relative_information_score: 412.3938, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.5331, predictive_accuracy: 0.5342, prior_entropy: 0.9969, recall: 0.5342, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6825, root_relative_squared_error: 1.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8292, kappa: 0.6595, kb_relative_information_score: 4314.2, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8351, predictive_accuracy: 0.8292, prior_entropy: 0.9969, recall: 0.8292, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8284, scimark_benchmark: 1959.6455, usercpu_time_millis: 17703.125, usercpu_time_millis_testing: 3375, usercpu_time_millis_training: 14328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3701, kb_relative_information_score: 390.2587, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.2836, predictive_accuracy: 0.5326, prior_entropy: 0.9969, recall: 0.5326, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6837, root_relative_squared_error: 1.3703, scimark_benchmark: 1959.6455, usercpu_time_millis: 4906.25, usercpu_time_millis_testing: 1968.75, usercpu_time_millis_training: 2937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8506, kappa: 0.7004, kb_relative_information_score: 3775.1141, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8514, predictive_accuracy: 0.8505, prior_entropy: 0.9969, recall: 0.8505, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6654, scimark_benchmark: 1601.8593, usercpu_time_millis: 26070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 26060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3701, kb_relative_information_score: 390.2587, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.2836, predictive_accuracy: 0.5326, prior_entropy: 0.9969, recall: 0.5326, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6837, root_relative_squared_error: 1.3703, scimark_benchmark: 1357.1632, usercpu_time_millis: 12270, usercpu_time_millis_testing: 3300, usercpu_time_millis_training: 8970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8292, kappa: 0.6595, kb_relative_information_score: 4314.2, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8351, predictive_accuracy: 0.8292, prior_entropy: 0.9969, recall: 0.8292, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8284, scimark_benchmark: 1387.7034, usercpu_time_millis: 26330, usercpu_time_millis_testing: 5870, usercpu_time_millis_training: 20460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.5334, kappa: 0.0621, kb_relative_information_score: 412.3938, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.5331, predictive_accuracy: 0.5342, prior_entropy: 0.9969, recall: 0.5342, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6825, root_relative_squared_error: 1.3679, scimark_benchmark: 1641.0555, usercpu_time_millis: 628700, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 627910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8522, kappa: 0.7034, kb_relative_information_score: 4075.1523, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8525, predictive_accuracy: 0.8521, prior_entropy: 0.9969, recall: 0.8521, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6449, scimark_benchmark: 1908.2191, usercpu_time_millis: 22140.625, usercpu_time_millis_training: 22140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8519, kappa: 0.7022, kb_relative_information_score: 4616.0416, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9969, recall: 0.852, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7711, scimark_benchmark: 1827.4462, usercpu_time_millis: 11156.25, usercpu_time_millis_testing: 1437.5, usercpu_time_millis_training: 9718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8591, kappa: 0.7171, kb_relative_information_score: 4313.1165, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8593, predictive_accuracy: 0.859, prior_entropy: 0.9969, recall: 0.859, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6446, scimark_benchmark: 1702.6065, usercpu_time_millis: 9970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8522, kappa: 0.7034, kb_relative_information_score: 4075.1523, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8525, predictive_accuracy: 0.8521, prior_entropy: 0.9969, recall: 0.8521, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6449, scimark_benchmark: 1060.9535, usercpu_time_millis: 2437.5, usercpu_time_millis_training: 2437.5,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8088, kappa: 0.6155, kb_relative_information_score: 4017.1079, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.81, predictive_accuracy: 0.8094, prior_entropy: 0.9969, recall: 0.8094, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8383, scimark_benchmark: 1354.3889, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8506, kappa: 0.7004, kb_relative_information_score: 3775.1141, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8514, predictive_accuracy: 0.8505, prior_entropy: 0.9969, recall: 0.8505, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6654, scimark_benchmark: 1232.1302, usercpu_time_millis: 3020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8515, kappa: 0.7016, kb_relative_information_score: 4032.7252, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8517, predictive_accuracy: 0.8517, prior_entropy: 0.9969, recall: 0.8517, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6412, scimark_benchmark: 1279.7186, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.817, kappa: 0.6325, kb_relative_information_score: 4152.1984, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.817, predictive_accuracy: 0.817, prior_entropy: 0.9969, recall: 0.817, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8572, scimark_benchmark: 1329.9514, usercpu_time_millis: 6180, usercpu_time_millis_testing: 6120, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.85, kappa: 0.6986, kb_relative_information_score: 4121.9821, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9969, recall: 0.85, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.642, scimark_benchmark: 1267.8708, usercpu_time_millis: 2170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8459, kappa: 0.6906, kb_relative_information_score: 3780.4035, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.846, predictive_accuracy: 0.8459, prior_entropy: 0.9969, recall: 0.8459, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7043, scimark_benchmark: 870.015, usercpu_time_millis: 2910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8547, kappa: 0.7079, kb_relative_information_score: 4654.2749, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8549, predictive_accuracy: 0.8549, prior_entropy: 0.9969, recall: 0.8549, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7635, scimark_benchmark: 1618.1738, usercpu_time_millis: 500, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8528, kappa: 0.7046, kb_relative_information_score: 4626.103, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.853, predictive_accuracy: 0.8528, prior_entropy: 0.9969, recall: 0.8528, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7691, scimark_benchmark: 1618.1738, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8361, kappa: 0.6709, kb_relative_information_score: 3855.0088, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 0.9969, recall: 0.836, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7049, scimark_benchmark: 1925.3565, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8623, kappa: 0.7233, kb_relative_information_score: 3996.9197, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8623, predictive_accuracy: 0.8623, prior_entropy: 0.9969, recall: 0.8623, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6285, scimark_benchmark: 1925.3565, usercpu_time_millis: 2171.875, usercpu_time_millis_testing: 218.75, usercpu_time_millis_training: 1953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8368, kappa: 0.6728, kb_relative_information_score: 3724.9147, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8378, predictive_accuracy: 0.8366, prior_entropy: 0.9969, recall: 0.8366, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7239, scimark_benchmark: 1925.3565, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.8303, kappa: 0.6591, kb_relative_information_score: 4040.3452, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8303, predictive_accuracy: 0.8304, prior_entropy: 0.9969, recall: 0.8304, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7627, scimark_benchmark: 1925.3565, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8088, kappa: 0.6155, kb_relative_information_score: 4017.1079, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.81, predictive_accuracy: 0.8094, prior_entropy: 0.9969, recall: 0.8094, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8383, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8547, kappa: 0.7079, kb_relative_information_score: 4654.2749, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8549, predictive_accuracy: 0.8549, prior_entropy: 0.9969, recall: 0.8549, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7635, scimark_benchmark: 1925.3565, usercpu_time_millis: 406.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8528, kappa: 0.7046, kb_relative_information_score: 4626.103, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.853, predictive_accuracy: 0.8528, prior_entropy: 0.9969, recall: 0.8528, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7691, scimark_benchmark: 1925.3565, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8506, kappa: 0.7004, kb_relative_information_score: 3775.1141, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8514, predictive_accuracy: 0.8505, prior_entropy: 0.9969, recall: 0.8505, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6654, scimark_benchmark: 1925.3565, usercpu_time_millis: 2031.25, usercpu_time_millis_training: 2031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8515, kappa: 0.7016, kb_relative_information_score: 4032.7252, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8517, predictive_accuracy: 0.8517, prior_entropy: 0.9969, recall: 0.8517, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6412, scimark_benchmark: 1925.3565, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.817, kappa: 0.6325, kb_relative_information_score: 4152.1984, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.817, predictive_accuracy: 0.817, prior_entropy: 0.9969, recall: 0.817, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8572, scimark_benchmark: 1925.3565, usercpu_time_millis: 2953.125, usercpu_time_millis_testing: 2921.875, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.85, kappa: 0.6986, kb_relative_information_score: 4121.9821, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9969, recall: 0.85, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.642, scimark_benchmark: 1892.0925, usercpu_time_millis: 1218.75, usercpu_time_millis_training: 1218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 3801.676, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7024, scimark_benchmark: 1892.0925, usercpu_time_millis: 953.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8361, kappa: 0.6709, kb_relative_information_score: 3855.0088, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 0.9969, recall: 0.836, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7049, scimark_benchmark: 1892.0925, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8646, kappa: 0.7278, kb_relative_information_score: 4001.7261, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8646, predictive_accuracy: 0.8646, prior_entropy: 0.9969, recall: 0.8646, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.627, scimark_benchmark: 1892.0925, usercpu_time_millis: 2625, usercpu_time_millis_testing: 546.875, usercpu_time_millis_training: 2078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8368, kappa: 0.6728, kb_relative_information_score: 3724.9147, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8378, predictive_accuracy: 0.8366, prior_entropy: 0.9969, recall: 0.8366, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7239, scimark_benchmark: 1892.0925, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.8303, kappa: 0.6591, kb_relative_information_score: 4040.3452, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8303, predictive_accuracy: 0.8304, prior_entropy: 0.9969, recall: 0.8304, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7627, scimark_benchmark: 1892.0925, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8515, kappa: 0.7016, kb_relative_information_score: 4032.7252, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8517, predictive_accuracy: 0.8517, prior_entropy: 0.9969, recall: 0.8517, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6412, scimark_benchmark: 1834.908, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8506, kappa: 0.7004, kb_relative_information_score: 3775.1141, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8514, predictive_accuracy: 0.8505, prior_entropy: 0.9969, recall: 0.8505, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6654, scimark_benchmark: 1834.908, usercpu_time_millis: 1968.75, usercpu_time_millis_training: 1968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.85, kappa: 0.6986, kb_relative_information_score: 4121.9821, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9969, recall: 0.85, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.642, scimark_benchmark: 1834.908, usercpu_time_millis: 1015.625, usercpu_time_millis_training: 1015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.85, kappa: 0.6986, kb_relative_information_score: 4121.9821, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9969, recall: 0.85, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.642, scimark_benchmark: 1788.6668, usercpu_time_millis: 1515.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8338, kappa: 0.6662, kb_relative_information_score: 3815.7113, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8338, predictive_accuracy: 0.8337, prior_entropy: 0.9969, recall: 0.8337, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6783, scimark_benchmark: 1788.6668, usercpu_time_millis: 875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8381, kappa: 0.6745, kb_relative_information_score: 3514.2155, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8383, predictive_accuracy: 0.8383, prior_entropy: 0.9969, recall: 0.8383, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7242, scimark_benchmark: 1788.6668, usercpu_time_millis: 406.25, usercpu_time_millis_training: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8365, kappa: 0.6726, kb_relative_information_score: 3610.3902, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8383, predictive_accuracy: 0.8363, prior_entropy: 0.9969, recall: 0.8363, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.689, scimark_benchmark: 1788.6668, usercpu_time_millis: 1593.75, usercpu_time_millis_training: 1593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8383, kappa: 0.6751, kb_relative_information_score: 3756.7559, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8384, predictive_accuracy: 0.8385, prior_entropy: 0.9969, recall: 0.8385, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6732, scimark_benchmark: 1788.6668, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8372, kappa: 0.6729, kb_relative_information_score: 4422.863, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8373, predictive_accuracy: 0.8374, prior_entropy: 0.9969, recall: 0.8374, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8082, scimark_benchmark: 1788.6668, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8545, kappa: 0.7076, kb_relative_information_score: 4652.2626, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8548, predictive_accuracy: 0.8547, prior_entropy: 0.9969, recall: 0.8547, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7639, scimark_benchmark: 1318.822, usercpu_time_millis: 1140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8435, kappa: 0.6856, kb_relative_information_score: 3746.5522, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8434, predictive_accuracy: 0.8435, prior_entropy: 0.9969, recall: 0.8435, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7123, scimark_benchmark: 903.6294, usercpu_time_millis: 1950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8418, kappa: 0.6819, kb_relative_information_score: 3891.9517, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8424, predictive_accuracy: 0.8421, prior_entropy: 0.9969, recall: 0.8421, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6769, scimark_benchmark: 1447.2612, usercpu_time_millis: 1921.875, usercpu_time_millis_testing: 1875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7883, kappa: 0.5766, kb_relative_information_score: 3809.6171, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8027, predictive_accuracy: 0.7921, prior_entropy: 0.9969, recall: 0.7921, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7913, scimark_benchmark: 1840.6094, usercpu_time_millis: 1656.25, usercpu_time_millis_testing: 1593.75, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8038, kappa: 0.6079, kb_relative_information_score: 4000.7172, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8206, predictive_accuracy: 0.8076, prior_entropy: 0.9969, recall: 0.8076, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7478, scimark_benchmark: 1840.6094, usercpu_time_millis: 2156.25, usercpu_time_millis_testing: 2156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8454, kappa: 0.6892, kb_relative_information_score: 3841.8552, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8468, predictive_accuracy: 0.8459, prior_entropy: 0.9969, recall: 0.8459, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6663, scimark_benchmark: 1873.1108, usercpu_time_millis: 3015.625, usercpu_time_millis_testing: 3015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8353, kappa: 0.6692, kb_relative_information_score: 3901.8136, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8353, predictive_accuracy: 0.8353, prior_entropy: 0.9969, recall: 0.8353, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7016, scimark_benchmark: 1873.1108, usercpu_time_millis: 1531.25, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8406, kappa: 0.6797, kb_relative_information_score: 3920.4425, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8405, predictive_accuracy: 0.8406, prior_entropy: 0.9969, recall: 0.8406, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.685, scimark_benchmark: 1873.1108, usercpu_time_millis: 2750, usercpu_time_millis_testing: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8644, kappa: 0.7276, kb_relative_information_score: 4781.0484, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8644, predictive_accuracy: 0.8645, prior_entropy: 0.9969, recall: 0.8645, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.8596, kappa: 0.7179, kb_relative_information_score: 4716.6555, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9969, recall: 0.8596, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8472, kappa: 0.6929, kb_relative_information_score: 4553.661, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8472, predictive_accuracy: 0.8473, prior_entropy: 0.9969, recall: 0.8473, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.8374, kappa: 0.6737, kb_relative_information_score: 4420.8507, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8378, predictive_accuracy: 0.8372, prior_entropy: 0.9969, recall: 0.8372, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8086, scimark_benchmark: 1870.7932, usercpu_time_millis: 202.8013, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 187.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8528, kappa: 0.7046, kb_relative_information_score: 4626.103, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.853, predictive_accuracy: 0.8528, prior_entropy: 0.9969, recall: 0.8528, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7691, scimark_benchmark: 1870.7932, usercpu_time_millis: 202.8013, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 187.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8256, kappa: 0.6496, kb_relative_information_score: 3709.4663, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8256, predictive_accuracy: 0.8257, prior_entropy: 0.9969, recall: 0.8257, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7206, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8355, kappa: 0.6696, kb_relative_information_score: 3851.8083, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8355, predictive_accuracy: 0.8354, prior_entropy: 0.9969, recall: 0.8354, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7068, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8312, kappa: 0.6615, kb_relative_information_score: 3638.002, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8321, predictive_accuracy: 0.831, prior_entropy: 0.9969, recall: 0.831, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7228, scimark_benchmark: 1870.7932, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8368, kappa: 0.6728, kb_relative_information_score: 3724.9147, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8378, predictive_accuracy: 0.8366, prior_entropy: 0.9969, recall: 0.8366, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7239, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,

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