OpenML
Supervised Classification on labor

Supervised Classification on labor

Task 1768 Supervised Classification labor 355 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7623, kappa: 0.4697, kb_relative_information_score: 93.8946, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.763, predictive_accuracy: 0.7684, prior_entropy: 0.9393, recall: 0.7684, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9158, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.819, kappa: 0.5989, kb_relative_information_score: 136.5126, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8186, predictive_accuracy: 0.8211, prior_entropy: 0.9393, recall: 0.8211, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7433, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7718, kappa: 0.5096, kb_relative_information_score: 138.2264, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.78, predictive_accuracy: 0.7684, prior_entropy: 0.9393, recall: 0.7684, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8473, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7935, kappa: 0.5367, kb_relative_information_score: 91.8162, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.805, predictive_accuracy: 0.8035, prior_entropy: 0.9393, recall: 0.8035, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8169, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.881, kappa: 0.7393, kb_relative_information_score: 191.7119, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8813, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.626, scimark_benchmark: 927.2917, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8325, kappa: 0.625, kb_relative_information_score: 135.0707, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8405, predictive_accuracy: 0.8386, prior_entropy: 0.9393, recall: 0.8386, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6942, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8961, kappa: 0.7686, kb_relative_information_score: 218.0758, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8997, predictive_accuracy: 0.8982, prior_entropy: 0.9393, recall: 0.8982, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6684, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.881, kappa: 0.7393, kb_relative_information_score: 191.7119, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8813, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.626, scimark_benchmark: 943.1009, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8325, kappa: 0.625, kb_relative_information_score: 135.0707, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8405, predictive_accuracy: 0.8386, prior_entropy: 0.9393, recall: 0.8386, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6942, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7623, kappa: 0.4697, kb_relative_information_score: 93.8946, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.763, predictive_accuracy: 0.7684, prior_entropy: 0.9393, recall: 0.7684, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9158, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.819, kappa: 0.5989, kb_relative_information_score: 136.5126, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8186, predictive_accuracy: 0.8211, prior_entropy: 0.9393, recall: 0.8211, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7433, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7718, kappa: 0.5096, kb_relative_information_score: 138.2264, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.78, predictive_accuracy: 0.7684, prior_entropy: 0.9393, recall: 0.7684, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8473, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8961, kappa: 0.7686, kb_relative_information_score: 218.0758, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8997, predictive_accuracy: 0.8982, prior_entropy: 0.9393, recall: 0.8982, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6684, scimark_benchmark: 935.5664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7935, kappa: 0.5367, kb_relative_information_score: 91.8162, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.805, predictive_accuracy: 0.8035, prior_entropy: 0.9393, recall: 0.8035, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8169, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9007, kappa: 0.7803, kb_relative_information_score: 182.8746, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9013, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5627, scimark_benchmark: 906.0979, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.881, kappa: 0.7393, kb_relative_information_score: 191.7119, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8813, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.626, scimark_benchmark: 932.438, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8325, kappa: 0.625, kb_relative_information_score: 135.0707, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8405, predictive_accuracy: 0.8386, prior_entropy: 0.9393, recall: 0.8386, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6942, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9076, kappa: 0.795, kb_relative_information_score: 159.6287, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9089, predictive_accuracy: 0.9088, prior_entropy: 0.9393, recall: 0.9088, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6043, scimark_benchmark: 938.988, usercpu_time_millis: 770, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.893, kappa: 0.7624, kb_relative_information_score: 160.3052, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8949, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6071, scimark_benchmark: 926.5462, usercpu_time_millis: 280, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8788, kappa: 0.7307, kb_relative_information_score: 158.0824, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8804, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.293, root_relative_squared_error: 0.614, scimark_benchmark: 928.7131, usercpu_time_millis: 230, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 159.3383, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.6127, scimark_benchmark: 911.2316, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8818, kappa: 0.7367, kb_relative_information_score: 161.3159, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.885, predictive_accuracy: 0.8842, prior_entropy: 0.9393, recall: 0.8842, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.6157, scimark_benchmark: 894.7131, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8519, kappa: 0.6735, kb_relative_information_score: 188.5978, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8516, predictive_accuracy: 0.8526, prior_entropy: 0.9393, recall: 0.8526, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7995, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8553, kappa: 0.6805, kb_relative_information_score: 190.4366, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8549, predictive_accuracy: 0.8561, prior_entropy: 0.9393, recall: 0.8561, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7838, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.8486, kappa: 0.6665, kb_relative_information_score: 187.6433, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8482, predictive_accuracy: 0.8491, prior_entropy: 0.9393, recall: 0.8491, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7988, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8411, kappa: 0.6494, kb_relative_information_score: 182.0279, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8407, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8154, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8556, kappa: 0.682, kb_relative_information_score: 185.945, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8553, predictive_accuracy: 0.8561, prior_entropy: 0.9393, recall: 0.8561, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7704, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.511, kb_relative_information_score: -1.9496, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8619, kappa: 0.6947, kb_relative_information_score: 195.0897, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8619, predictive_accuracy: 0.8632, prior_entropy: 0.9393, recall: 0.8632, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7706, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8859, kappa: 0.7465, kb_relative_information_score: 209.9754, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8876, predictive_accuracy: 0.8877, prior_entropy: 0.9393, recall: 0.8877, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6988, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8645, kappa: 0.699, kb_relative_information_score: 198.1115, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8658, predictive_accuracy: 0.8667, prior_entropy: 0.9393, recall: 0.8667, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7478, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8292, kappa: 0.6178, kb_relative_information_score: 175.5584, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8361, predictive_accuracy: 0.8351, prior_entropy: 0.9393, recall: 0.8351, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.8152, scimark_benchmark: 935.6052,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1325.8468,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9007, kappa: 0.7803, kb_relative_information_score: 182.8746, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9013, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5627, scimark_benchmark: 1342.6744, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7935, kappa: 0.5367, kb_relative_information_score: 91.8162, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.805, predictive_accuracy: 0.8035, prior_entropy: 0.9393, recall: 0.8035, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8169, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8325, kappa: 0.625, kb_relative_information_score: 135.0707, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8405, predictive_accuracy: 0.8386, prior_entropy: 0.9393, recall: 0.8386, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6942, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9013, kappa: 0.7823, kb_relative_information_score: 202.3928, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9012, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9007, kappa: 0.7803, kb_relative_information_score: 182.8746, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9013, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5627, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9013, kappa: 0.7823, kb_relative_information_score: 202.3928, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9012, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9007, kappa: 0.7803, kb_relative_information_score: 182.8746, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9013, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5627, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.881, kappa: 0.7393, kb_relative_information_score: 191.7119, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8813, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.626, scimark_benchmark: 1313.11, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.819, kappa: 0.5989, kb_relative_information_score: 136.5126, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8186, predictive_accuracy: 0.8211, prior_entropy: 0.9393, recall: 0.8211, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7433, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7718, kappa: 0.5096, kb_relative_information_score: 138.2264, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.78, predictive_accuracy: 0.7684, prior_entropy: 0.9393, recall: 0.7684, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8473, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8961, kappa: 0.7686, kb_relative_information_score: 218.0758, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8997, predictive_accuracy: 0.8982, prior_entropy: 0.9393, recall: 0.8982, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6684, scimark_benchmark: 1332.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1317.2327,

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