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Supervised Classification on desharnais

Supervised Classification on desharnais

Task 3922 Supervised Classification desharnais 362 runs submitted
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  • study_1 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6424, kappa: 0.3815, kb_relative_information_score: 32.2722, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6161, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.064, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.6373, kappa: 0.3608, kb_relative_information_score: 30.4474, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6367, predictive_accuracy: 0.642, prior_entropy: 1.3765, recall: 0.642, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.1237, scimark_benchmark: 1464.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4114, kb_relative_information_score: -0.0796, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6256, kappa: 0.3489, kb_relative_information_score: 24.6208, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6248, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.1007, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.6697, kappa: 0.4096, kb_relative_information_score: 28.8644, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6862, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4358, root_relative_squared_error: 1.0023, scimark_benchmark: 931.2336, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.6049, kappa: 0.2966, kb_relative_information_score: 19.3362, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5972, predictive_accuracy: 0.6173, prior_entropy: 1.3765, recall: 0.6173, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4435, root_relative_squared_error: 1.02, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.5729, kappa: 0.2391, kb_relative_information_score: 16.386, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5606, predictive_accuracy: 0.5926, prior_entropy: 1.3765, recall: 0.5926, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4458, root_relative_squared_error: 1.0252, scimark_benchmark: 876.8277, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.5729, kappa: 0.2391, kb_relative_information_score: 16.4388, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5606, predictive_accuracy: 0.5926, prior_entropy: 1.3765, recall: 0.5926, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.0184, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.5729, kappa: 0.2391, kb_relative_information_score: 16.4388, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5606, predictive_accuracy: 0.5926, prior_entropy: 1.3765, recall: 0.5926, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.0184, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 18.1049, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8925, scimark_benchmark: 936.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 18.1049, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8925, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 18.2429, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.8935, scimark_benchmark: 936.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 21.6251, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9043, scimark_benchmark: 938.4285, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.6541, kappa: 0.4214, kb_relative_information_score: 26.8808, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6133, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9759, scimark_benchmark: 938.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7868, kappa: 0.6127, kb_relative_information_score: 49.1891, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7986, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.373, root_relative_squared_error: 0.8578, scimark_benchmark: 938.4285, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7723, kappa: 0.5881, kb_relative_information_score: 47.0443, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7899, predictive_accuracy: 0.7778, prior_entropy: 1.3765, recall: 0.7778, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8467, scimark_benchmark: 943.2817, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.76, kappa: 0.5619, kb_relative_information_score: 46.4164, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7732, predictive_accuracy: 0.7654, prior_entropy: 1.3765, recall: 0.7654, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.368, root_relative_squared_error: 0.8464, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7449, kappa: 0.5381, kb_relative_information_score: 40.3684, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7531, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.862, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7199, kappa: 0.4927, kb_relative_information_score: 35.8734, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7279, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.859, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4114, kb_relative_information_score: -0.0796, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7448, kappa: 0.5435, kb_relative_information_score: 34.9782, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7464, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.8391, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4114, kb_relative_information_score: -0.0796, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.7177, kappa: 0.5026, kb_relative_information_score: 30.2366, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7228, predictive_accuracy: 0.7407, prior_entropy: 1.3765, recall: 0.7407, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.8609, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 16.8199, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.6349, kappa: 0.3448, kb_relative_information_score: 27.3615, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6324, predictive_accuracy: 0.642, prior_entropy: 1.3765, recall: 0.642, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.958, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.6522, kappa: 0.3848, kb_relative_information_score: 16.5831, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6443, predictive_accuracy: 0.6667, prior_entropy: 1.3765, recall: 0.6667, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9033, scimark_benchmark: 935.8834, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.5802, kappa: 0.2676, kb_relative_information_score: 14.0086, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5429, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.938, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7065, kappa: 0.4789, kb_relative_information_score: 30.876, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7127, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.9322, scimark_benchmark: 941.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.6847, kappa: 0.4337, kb_relative_information_score: 38.7516, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6877, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9936, scimark_benchmark: 941.7954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7441, kappa: 0.5424, kb_relative_information_score: 43.7262, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7541, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.9392, scimark_benchmark: 939.2687, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.7441, kappa: 0.5424, kb_relative_information_score: 43.9034, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7541, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.9387, scimark_benchmark: 940.2751, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.6713, kappa: 0.4076, kb_relative_information_score: 35.9513, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6744, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9662, scimark_benchmark: 942.3168, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.7059, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9106, scimark_benchmark: 923.9763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 8.9179, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.0222, scimark_benchmark: 947.0793, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, build_cpu_time: 0.0596, build_memory: 1171105686.6173, f_measure: 0.6071, kappa: 0.325, kb_relative_information_score: 11.9695, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5683, predictive_accuracy: 0.6543, prior_entropy: 1.3765, recall: 0.6543, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9845, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, build_cpu_time: 0.0523, build_memory: 1908345867.7531, f_measure: 0.6071, kappa: 0.325, kb_relative_information_score: 11.9695, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5683, predictive_accuracy: 0.6543, prior_entropy: 1.3765, recall: 0.6543, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9845, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, build_cpu_time: 0.0728, build_memory: 468131963.9506, f_measure: 0.6071, kappa: 0.325, kb_relative_information_score: 11.9695, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5683, predictive_accuracy: 0.6543, prior_entropy: 1.3765, recall: 0.6543, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9845, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, build_cpu_time: 0.0759, build_memory: 797141424.1975, f_measure: 0.6071, kappa: 0.325, kb_relative_information_score: 11.9695, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5683, predictive_accuracy: 0.6543, prior_entropy: 1.3765, recall: 0.6543, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9845, scimark_benchmark: 923.564,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, build_cpu_time: 0.015, build_memory: 140560559.7037, f_measure: 0.7066, kappa: 0.4728, kb_relative_information_score: 37.1613, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7095, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9986, scimark_benchmark: 920.7965,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, build_cpu_time: 0.155, build_memory: 1066022107.7531, f_measure: 0.7441, kappa: 0.5424, kb_relative_information_score: 43.7262, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7541, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.9392, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, build_cpu_time: 0.2062, build_memory: 2952628415.1111, f_measure: 0.7441, kappa: 0.5424, kb_relative_information_score: 43.9034, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7541, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.9387, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, build_cpu_time: 0.0114, build_memory: 747975739.1605, f_measure: 0.6213, kappa: 0.3546, kb_relative_information_score: 27.6075, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6292, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.1209, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, build_cpu_time: 0.0071, build_memory: 423669283.358, f_measure: 0.6213, kappa: 0.3546, kb_relative_information_score: 27.6075, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6292, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.1209, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, build_cpu_time: 0.0036, build_memory: 248715543.6049, f_measure: 0.6213, kappa: 0.3546, kb_relative_information_score: 27.6075, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6292, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.1209, scimark_benchmark: 937.5625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, build_cpu_time: 0.1924, build_memory: 2368939570.0741, f_measure: 0.7603, kappa: 0.5696, kb_relative_information_score: 45.5537, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7671, predictive_accuracy: 0.7654, prior_entropy: 1.3765, recall: 0.7654, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9038, scimark_benchmark: 925.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, build_cpu_time: 0.1269, build_memory: 1893673714.1728, f_measure: 0.7603, kappa: 0.5696, kb_relative_information_score: 44.2299, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7671, predictive_accuracy: 0.7654, prior_entropy: 1.3765, recall: 0.7654, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9076, scimark_benchmark: 930.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, build_cpu_time: 0.0458, build_memory: 1351962894.2222, f_measure: 0.6713, kappa: 0.4076, kb_relative_information_score: 35.9513, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6744, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9662, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, build_cpu_time: 0.0008, build_memory: 1088148649.0864, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.7059, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9106, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, build_cpu_time: 0.0214, build_memory: 750603507.8519, f_measure: 0.7869, kappa: 0.6178, kb_relative_information_score: 29.7829, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8061, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.82, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, build_cpu_time: 0.0034, build_memory: 957123976, f_measure: 0.7173, kappa: 0.4962, kb_relative_information_score: 32.1546, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7227, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9042, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, build_cpu_time: 0.0001, build_memory: 330859520, f_measure: 0.6213, kappa: 0.3546, kb_relative_information_score: 27.6075, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6292, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.1209, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0137, build_memory: 131573535.8025, f_measure: 0.4114, kb_relative_information_score: 8.9179, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.0222, scimark_benchmark: 946.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, build_cpu_time: 0.0128, build_memory: 825805149.1358, f_measure: 0.6201, kappa: 0.3532, kb_relative_information_score: 15.4892, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5808, predictive_accuracy: 0.6667, prior_entropy: 1.3765, recall: 0.6667, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9638, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, build_cpu_time: 0.0045, build_memory: 38454110.1235, f_measure: 0.7014, kappa: 0.4662, kb_relative_information_score: 34.2094, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7011, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.9123, scimark_benchmark: 948.6597,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs