OpenML
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 1818 Supervised Classification hepatitis 364 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.783, kappa: 0.2959, kb_relative_information_score: 125.833, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.7772, predictive_accuracy: 0.8013, prior_entropy: 0.7418, recall: 0.8013, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9905, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7935, kappa: 0.3522, kb_relative_information_score: 138.1958, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.789, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.9366, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7788, kappa: 0.3398, kb_relative_information_score: 107.5491, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.7843, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.0677, scimark_benchmark: 851.2074, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7451, kappa: 0.1415, kb_relative_information_score: 120.899, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.7614, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.8886, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8098, kappa: 0.3807, kb_relative_information_score: 187.9669, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.809, predictive_accuracy: 0.8271, prior_entropy: 0.7418, recall: 0.8271, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8384, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 208.7937, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8412, kappa: 0.5333, kb_relative_information_score: 290.1063, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8494, predictive_accuracy: 0.8361, prior_entropy: 0.7418, recall: 0.8361, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9082, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8279, kappa: 0.4816, kb_relative_information_score: 235.7019, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8304, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9211, scimark_benchmark: 943.1009, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8098, kappa: 0.3807, kb_relative_information_score: 187.9669, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.809, predictive_accuracy: 0.8271, prior_entropy: 0.7418, recall: 0.8271, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8384, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.783, kappa: 0.2959, kb_relative_information_score: 125.833, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.7772, predictive_accuracy: 0.8013, prior_entropy: 0.7418, recall: 0.8013, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9905, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7935, kappa: 0.3522, kb_relative_information_score: 138.1958, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.789, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.9366, scimark_benchmark: 935.2002, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7788, kappa: 0.3398, kb_relative_information_score: 107.5491, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.7843, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.0677, scimark_benchmark: 608.4057, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 208.7937, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8412, kappa: 0.5333, kb_relative_information_score: 290.1063, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8494, predictive_accuracy: 0.8361, prior_entropy: 0.7418, recall: 0.8361, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9082, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7451, kappa: 0.1415, kb_relative_information_score: 120.899, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.7614, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.8886, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8279, kappa: 0.4816, kb_relative_information_score: 235.7019, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8304, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9211, scimark_benchmark: 917.5013, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8098, kappa: 0.3807, kb_relative_information_score: 187.9669, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.809, predictive_accuracy: 0.8271, prior_entropy: 0.7418, recall: 0.8271, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8384, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8407, kappa: 0.4957, kb_relative_information_score: 202.1478, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8383, predictive_accuracy: 0.8477, prior_entropy: 0.7418, recall: 0.8477, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.8236, scimark_benchmark: 936.2727, usercpu_time_millis: 1920, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8218, kappa: 0.4358, kb_relative_information_score: 200.7187, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8182, predictive_accuracy: 0.8297, prior_entropy: 0.7418, recall: 0.8297, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.335, root_relative_squared_error: 0.8276, scimark_benchmark: 934.695, usercpu_time_millis: 850, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.817, kappa: 0.4216, kb_relative_information_score: 197.4713, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8131, predictive_accuracy: 0.8245, prior_entropy: 0.7418, recall: 0.8245, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.8296, scimark_benchmark: 921.2615, usercpu_time_millis: 500, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8401, kappa: 0.4952, kb_relative_information_score: 199.1513, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8375, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.8361, scimark_benchmark: 939.7883, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.8278, kappa: 0.4531, kb_relative_information_score: 195.9027, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8247, predictive_accuracy: 0.8361, prior_entropy: 0.7418, recall: 0.8361, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.8413, scimark_benchmark: 926.5859, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8249, kappa: 0.4669, kb_relative_information_score: 258.1224, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8253, predictive_accuracy: 0.8245, prior_entropy: 0.7418, recall: 0.8245, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.9495, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8249, kappa: 0.4669, kb_relative_information_score: 258.1224, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8253, predictive_accuracy: 0.8245, prior_entropy: 0.7418, recall: 0.8245, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.9495, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8249, kappa: 0.4669, kb_relative_information_score: 258.1224, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8253, predictive_accuracy: 0.8245, prior_entropy: 0.7418, recall: 0.8245, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.9495, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8238, kappa: 0.4642, kb_relative_information_score: 254.9653, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8245, predictive_accuracy: 0.8232, prior_entropy: 0.7418, recall: 0.8232, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.9505, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.823, kappa: 0.4592, kb_relative_information_score: 254.9338, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8228, predictive_accuracy: 0.8232, prior_entropy: 0.7418, recall: 0.8232, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.9333, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.7022, kb_relative_information_score: -15.2936, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4048, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7451, kappa: 0.1415, kb_relative_information_score: 120.899, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.7614, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.8886, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8412, kappa: 0.5333, kb_relative_information_score: 290.1063, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8494, predictive_accuracy: 0.8361, prior_entropy: 0.7418, recall: 0.8361, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9082, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 1324.7884,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8401, kappa: 0.5016, kb_relative_information_score: 267.3441, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8377, predictive_accuracy: 0.8439, prior_entropy: 0.7418, recall: 0.8439, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8384, scimark_benchmark: 1331.7953, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.783, kappa: 0.2959, kb_relative_information_score: 125.833, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.7772, predictive_accuracy: 0.8013, prior_entropy: 0.7418, recall: 0.8013, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9905, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7935, kappa: 0.3522, kb_relative_information_score: 138.1958, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.789, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.9366, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 208.7937, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8412, kappa: 0.5333, kb_relative_information_score: 290.1063, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8494, predictive_accuracy: 0.8361, prior_entropy: 0.7418, recall: 0.8361, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9082, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8098, kappa: 0.3807, kb_relative_information_score: 187.9669, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.809, predictive_accuracy: 0.8271, prior_entropy: 0.7418, recall: 0.8271, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8384, scimark_benchmark: 1318.6467, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.783, kappa: 0.2959, kb_relative_information_score: 125.833, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.7772, predictive_accuracy: 0.8013, prior_entropy: 0.7418, recall: 0.8013, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9905, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.783, kappa: 0.2959, kb_relative_information_score: 125.833, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.7772, predictive_accuracy: 0.8013, prior_entropy: 0.7418, recall: 0.8013, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9905, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 208.7937, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1329.8008, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8412, kappa: 0.5333, kb_relative_information_score: 290.1063, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8494, predictive_accuracy: 0.8361, prior_entropy: 0.7418, recall: 0.8361, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9082, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8401, kappa: 0.5016, kb_relative_information_score: 267.3441, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8377, predictive_accuracy: 0.8439, prior_entropy: 0.7418, recall: 0.8439, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8384, scimark_benchmark: 1306.8702, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8483, kappa: 0.543, kb_relative_information_score: 304.2885, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.8506, predictive_accuracy: 0.8465, prior_entropy: 0.7418, recall: 0.8465, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8506, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.783, kappa: 0.2959, kb_relative_information_score: 125.833, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.7772, predictive_accuracy: 0.8013, prior_entropy: 0.7418, recall: 0.8013, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9905, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 208.7937, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 775, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1307.9497, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,

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