Task
Supervised Classification on kc1-binary

Supervised Classification on kc1-binary

Task 3916 Supervised Classification kc1-binary 553 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.6884, kappa: 0.3556, kb_relative_information_score: 41.6556, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6877, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7802, kappa: 0.5495, kb_relative_information_score: 52.3851, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7823, predictive_accuracy: 0.7793, prior_entropy: 0.979, recall: 0.7793, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.6774, kappa: 0.3354, kb_relative_information_score: 54.9217, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7022, predictive_accuracy: 0.6966, prior_entropy: 0.979, recall: 0.6966, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7041, kappa: 0.4213, kb_relative_information_score: 42.397, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7409, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.6687, kappa: 0.3185, kb_relative_information_score: 51.434, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6953, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5541, root_relative_squared_error: 1.1251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7307, kappa: 0.4442, kb_relative_information_score: 57.3792, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7304, predictive_accuracy: 0.731, prior_entropy: 0.979, recall: 0.731, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7182, kappa: 0.4214, kb_relative_information_score: 59.7146, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7197, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.6925, kappa: 0.362, kb_relative_information_score: 49.1904, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6929, predictive_accuracy: 0.6966, prior_entropy: 0.979, recall: 0.6966, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.6607, kappa: 0.2983, kb_relative_information_score: 45.8965, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6598, predictive_accuracy: 0.6621, prior_entropy: 0.979, recall: 0.6621, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7642, kappa: 0.5119, kb_relative_information_score: 71.683, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.764, predictive_accuracy: 0.7655, prior_entropy: 0.979, recall: 0.7655, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7038, kappa: 0.3848, kb_relative_information_score: 59.4909, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7075, predictive_accuracy: 0.7103, prior_entropy: 0.979, recall: 0.7103, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7738, kappa: 0.5388, kb_relative_information_score: 51.2024, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7788, predictive_accuracy: 0.7724, prior_entropy: 0.979, recall: 0.7724, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7534, kappa: 0.4981, kb_relative_information_score: 66.5154, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7595, predictive_accuracy: 0.7517, prior_entropy: 0.979, recall: 0.7517, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.6481, kappa: 0.275, kb_relative_information_score: 45.9356, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6685, predictive_accuracy: 0.669, prior_entropy: 0.979, recall: 0.669, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5667, root_relative_squared_error: 1.1507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.6708, kappa: 0.3275, kb_relative_information_score: 47.9879, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6749, predictive_accuracy: 0.669, prior_entropy: 0.979, recall: 0.669, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.6919, kappa: 0.383, kb_relative_information_score: 42.5544, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7089, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.4333, kb_relative_information_score: -0.0544, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.979, recall: 0.5862, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7576, kappa: 0.4988, kb_relative_information_score: 55.136, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7573, predictive_accuracy: 0.7586, prior_entropy: 0.979, recall: 0.7586, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7461, kappa: 0.4804, kb_relative_information_score: 55.3244, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7491, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7672, kappa: 0.5282, kb_relative_information_score: 54.1536, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7762, predictive_accuracy: 0.7655, prior_entropy: 0.979, recall: 0.7655, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6734, kappa: 0.3236, kb_relative_information_score: 46.402, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6727, predictive_accuracy: 0.6759, prior_entropy: 0.979, recall: 0.6759, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6599, kappa: 0.3016, kb_relative_information_score: 50.4494, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6882, predictive_accuracy: 0.6828, prior_entropy: 0.979, recall: 0.6828, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7379, kappa: 0.4598, kb_relative_information_score: 60.885, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7379, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.7456, kappa: 0.4779, kb_relative_information_score: 67.729, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7471, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7663, kappa: 0.5414, kb_relative_information_score: 69.2538, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.8029, predictive_accuracy: 0.7655, prior_entropy: 0.979, recall: 0.7655, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.6799, kappa: 0.3389, kb_relative_information_score: 54.0216, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6994, predictive_accuracy: 0.6966, prior_entropy: 0.979, recall: 0.6966, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6734, kappa: 0.3236, kb_relative_information_score: 46.402, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6727, predictive_accuracy: 0.6759, prior_entropy: 0.979, recall: 0.6759, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7448, kappa: 0.5044, kb_relative_information_score: 67.6001, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7905, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7096, kappa: 0.4, kb_relative_information_score: 57.2986, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7091, predictive_accuracy: 0.7103, prior_entropy: 0.979, recall: 0.7103, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.0928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.7299, kappa: 0.4415, kb_relative_information_score: 63.5569, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7294, predictive_accuracy: 0.731, prior_entropy: 0.979, recall: 0.731, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7394, kappa: 0.4676, kb_relative_information_score: 52.0485, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7433, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.6599, kappa: 0.3016, kb_relative_information_score: 49.5953, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6882, predictive_accuracy: 0.6828, prior_entropy: 0.979, recall: 0.6828, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.4202, kappa: -0.0545, kb_relative_information_score: -1.1684, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.3368, predictive_accuracy: 0.5586, prior_entropy: 0.979, recall: 0.5586, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.7122, kappa: 0.4144, kb_relative_information_score: 44.3276, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7184, predictive_accuracy: 0.7103, prior_entropy: 0.979, recall: 0.7103, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.6625, kappa: 0.3051, kb_relative_information_score: 42.6961, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6629, predictive_accuracy: 0.6621, prior_entropy: 0.979, recall: 0.6621, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5813, root_relative_squared_error: 1.1803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.729, kappa: 0.4387, kb_relative_information_score: 63.2176, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7288, predictive_accuracy: 0.731, prior_entropy: 0.979, recall: 0.731, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0257, scimark_benchmark: 1586.7278, usercpu_time_millis: 2203.125, usercpu_time_millis_training: 2203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.4876, kappa: 0.0156, kb_relative_information_score: -9.4559, mean_absolute_error: 0.5103, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.5236, predictive_accuracy: 0.4897, prior_entropy: 0.979, recall: 0.4897, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.7144, root_relative_squared_error: 1.4505, scimark_benchmark: 1922.3298, usercpu_time_millis: 7359.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 7343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4738, kappa: -0.011, kb_relative_information_score: -13.628, mean_absolute_error: 0.5241, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.5087, predictive_accuracy: 0.4759, prior_entropy: 0.979, recall: 0.4759, relative_absolute_error: 1.0799, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.724, root_relative_squared_error: 1.47, scimark_benchmark: 1922.3298, usercpu_time_millis: 9546.875, usercpu_time_millis_training: 9546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4333, kb_relative_information_score: 19.7492, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.979, recall: 0.5862, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6433, root_relative_squared_error: 1.3061, scimark_benchmark: 1922.3298, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, f_measure: 0.4268, kappa: -0.0274, kb_relative_information_score: 15.5771, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.3402, predictive_accuracy: 0.5724, prior_entropy: 0.979, recall: 0.5724, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6539, root_relative_squared_error: 1.3277, scimark_benchmark: 1280.301, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7721, kappa: 0.5297, kb_relative_information_score: 65.4358, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7719, predictive_accuracy: 0.7724, prior_entropy: 0.979, recall: 0.7724, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8894, scimark_benchmark: 1376.3662, usercpu_time_millis: 2100, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, f_measure: 0.4268, kappa: -0.0274, kb_relative_information_score: 15.5771, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.3402, predictive_accuracy: 0.5724, prior_entropy: 0.979, recall: 0.5724, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6539, root_relative_squared_error: 1.3277, scimark_benchmark: 1626.8173, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4333, kb_relative_information_score: 19.7492, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.979, recall: 0.5862, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6433, root_relative_squared_error: 1.3061, scimark_benchmark: 1376.7528, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.4876, kappa: 0.0156, kb_relative_information_score: -9.4559, mean_absolute_error: 0.5103, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.5236, predictive_accuracy: 0.4897, prior_entropy: 0.979, recall: 0.4897, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.7144, root_relative_squared_error: 1.4505, scimark_benchmark: 1583.0377, usercpu_time_millis: 4090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4738, kappa: -0.011, kb_relative_information_score: -13.628, mean_absolute_error: 0.5241, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.5087, predictive_accuracy: 0.4759, prior_entropy: 0.979, recall: 0.4759, relative_absolute_error: 1.0799, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.724, root_relative_squared_error: 1.47, scimark_benchmark: 1386.3516, usercpu_time_millis: 7840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7589, kappa: 0.5037, kb_relative_information_score: 70.4435, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7593, predictive_accuracy: 0.7586, prior_entropy: 0.979, recall: 0.7586, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9307, scimark_benchmark: 1665.974, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7904, kappa: 0.565, kb_relative_information_score: 77.7025, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7927, predictive_accuracy: 0.7931, prior_entropy: 0.979, recall: 0.7931, relative_absolute_error: 0.4654, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8947, scimark_benchmark: 1347.3997, usercpu_time_millis: 7200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7190,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.6599, kappa: 0.3016, kb_relative_information_score: 49.5953, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6882, predictive_accuracy: 0.6828, prior_entropy: 0.979, recall: 0.6828, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1322, scimark_benchmark: 1378.157, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7598, kappa: 0.5085, kb_relative_information_score: 71.9012, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7628, predictive_accuracy: 0.7586, prior_entropy: 0.979, recall: 0.7586, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9975, scimark_benchmark: 1344.2507, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7793, kappa: 0.5451, kb_relative_information_score: 66.3899, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7793, predictive_accuracy: 0.7793, prior_entropy: 0.979, recall: 0.7793, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8812, scimark_benchmark: 1254.7335, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6566, kappa: 0.2961, kb_relative_information_score: 41.2163, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.659, predictive_accuracy: 0.6552, prior_entropy: 0.979, recall: 0.6552, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5832, root_relative_squared_error: 1.1841, scimark_benchmark: 1334.1204, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.7012, kappa: 0.3811, kb_relative_information_score: 54.5867, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7007, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.0974, scimark_benchmark: 1288.1977, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.6972, kappa: 0.3776, kb_relative_information_score: 54.9176, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6982, predictive_accuracy: 0.6966, prior_entropy: 0.979, recall: 0.6966, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9988, scimark_benchmark: 1176.9979, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6915, kappa: 0.3711, kb_relative_information_score: 33.9834, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6966, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9685, scimark_benchmark: 897.8634, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.7372, kappa: 0.4571, kb_relative_information_score: 65.643, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7368, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0394, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.6962, kappa: 0.412, kb_relative_information_score: 46.4236, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7422, predictive_accuracy: 0.6966, prior_entropy: 0.979, recall: 0.6966, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.888, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7461, kappa: 0.4804, kb_relative_information_score: 49.9416, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7491, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8514, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7044, kappa: 0.3932, kb_relative_information_score: 55.6447, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.706, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9941, scimark_benchmark: 998.1649, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.6687, kappa: 0.3185, kb_relative_information_score: 51.434, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6953, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5541, root_relative_squared_error: 1.1251, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.6734, kappa: 0.3236, kb_relative_information_score: 44.9199, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6727, predictive_accuracy: 0.6759, prior_entropy: 0.979, recall: 0.6759, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0943, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.6599, kappa: 0.3016, kb_relative_information_score: 49.5953, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6882, predictive_accuracy: 0.6828, prior_entropy: 0.979, recall: 0.6828, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1322, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7598, kappa: 0.5085, kb_relative_information_score: 71.9012, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7628, predictive_accuracy: 0.7586, prior_entropy: 0.979, recall: 0.7586, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9975, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.7372, kappa: 0.4571, kb_relative_information_score: 65.643, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7368, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0394, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7642, kappa: 0.5119, kb_relative_information_score: 65.1817, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.764, predictive_accuracy: 0.7655, prior_entropy: 0.979, recall: 0.7655, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8968, scimark_benchmark: 1925.3565, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6566, kappa: 0.2961, kb_relative_information_score: 41.2163, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.659, predictive_accuracy: 0.6552, prior_entropy: 0.979, recall: 0.6552, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5832, root_relative_squared_error: 1.1841, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.7012, kappa: 0.3811, kb_relative_information_score: 54.5867, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7007, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.0974, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7602, kappa: 0.5224, kb_relative_information_score: 53.3379, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7827, predictive_accuracy: 0.7586, prior_entropy: 0.979, recall: 0.7586, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8458, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6889, kappa: 0.4, kb_relative_information_score: 44.6249, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7378, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9014, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7531, kappa: 0.4957, kb_relative_information_score: 50.738, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.757, predictive_accuracy: 0.7517, prior_entropy: 0.979, recall: 0.7517, relative_absolute_error: 0.6612, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8508, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.6687, kappa: 0.3185, kb_relative_information_score: 51.434, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6953, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5541, root_relative_squared_error: 1.1251, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.6734, kappa: 0.3236, kb_relative_information_score: 44.9199, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6727, predictive_accuracy: 0.6759, prior_entropy: 0.979, recall: 0.6759, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0943, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6566, kappa: 0.2961, kb_relative_information_score: 41.2163, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.659, predictive_accuracy: 0.6552, prior_entropy: 0.979, recall: 0.6552, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5832, root_relative_squared_error: 1.1841, scimark_benchmark: 1327.5254, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7041, kappa: 0.4213, kb_relative_information_score: 42.397, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7409, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8989, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7649, kappa: 0.5143, kb_relative_information_score: 64.7001, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7646, predictive_accuracy: 0.7655, prior_entropy: 0.979, recall: 0.7655, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8966, scimark_benchmark: 1834.908, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.6972, kappa: 0.3776, kb_relative_information_score: 56.6505, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6982, predictive_accuracy: 0.6966, prior_entropy: 0.979, recall: 0.6966, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9844, scimark_benchmark: 1834.908, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.6972, kappa: 0.3776, kb_relative_information_score: 56.6505, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6982, predictive_accuracy: 0.6966, prior_entropy: 0.979, recall: 0.6966, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9844, scimark_benchmark: 1788.6668, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.6982, kappa: 0.3836, kb_relative_information_score: 52.1643, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7023, predictive_accuracy: 0.6966, prior_entropy: 0.979, recall: 0.6966, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9567, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.7462, kappa: 0.4974, kb_relative_information_score: 47.5312, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7734, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8865, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7369, kappa: 0.4945, kb_relative_information_score: 49.4776, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7934, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8362, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7299, kappa: 0.4415, kb_relative_information_score: 49.7428, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7294, predictive_accuracy: 0.731, prior_entropy: 0.979, recall: 0.731, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8668, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.7176, kappa: 0.4186, kb_relative_information_score: 59.3847, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.718, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0797, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7598, kappa: 0.5085, kb_relative_information_score: 71.9012, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7628, predictive_accuracy: 0.7586, prior_entropy: 0.979, recall: 0.7586, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9975, scimark_benchmark: 1373.4266, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7445, kappa: 0.4727, kb_relative_information_score: 52.3346, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7442, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.832, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7596, kappa: 0.5268, kb_relative_information_score: 48.3524, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7928, predictive_accuracy: 0.7586, prior_entropy: 0.979, recall: 0.7586, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8458, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.7392, kappa: 0.485, kb_relative_information_score: 56.1244, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7688, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9328, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.726, kappa: 0.4528, kb_relative_information_score: 52.9869, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7456, predictive_accuracy: 0.7241, prior_entropy: 0.979, recall: 0.7241, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9806, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7534, kappa: 0.4981, kb_relative_information_score: 46.2373, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7595, predictive_accuracy: 0.7517, prior_entropy: 0.979, recall: 0.7517, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8354, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7583, kappa: 0.5012, kb_relative_information_score: 51.1292, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7581, predictive_accuracy: 0.7586, prior_entropy: 0.979, recall: 0.7586, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8918, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.7182, kappa: 0.4214, kb_relative_information_score: 59.3847, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7197, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.7314, kappa: 0.4469, kb_relative_information_score: 63.5569, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7317, predictive_accuracy: 0.731, prior_entropy: 0.979, recall: 0.731, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.053, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.7372, kappa: 0.4571, kb_relative_information_score: 65.643, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7368, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0394, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.671, kappa: 0.3465, kb_relative_information_score: 41.0747, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6937, predictive_accuracy: 0.669, prior_entropy: 0.979, recall: 0.669, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9453, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.6889, kappa: 0.4, kb_relative_information_score: 42.4958, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7378, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9066, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7354, kappa: 0.4512, kb_relative_information_score: 64.0658, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7486, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9556, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.6687, kappa: 0.3185, kb_relative_information_score: 51.434, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6953, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5541, root_relative_squared_error: 1.1251, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.7382, kappa: 0.4898, kb_relative_information_score: 65.643, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.78, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7354, kappa: 0.4512, kb_relative_information_score: 64.4672, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7486, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9523, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.6599, kappa: 0.3016, kb_relative_information_score: 49.5953, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6882, predictive_accuracy: 0.6828, prior_entropy: 0.979, recall: 0.6828, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5576, root_relative_squared_error: 1.1322, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,

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