OpenML
Supervised Classification on lymph

Supervised Classification on lymph

Task 10 Supervised Classification lymph 904 runs submitted
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  • basic study_1 study_107 study_41 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8336, kappa: 0.6959, kb_relative_information_score: 79.9236, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.836, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.6671, scimark_benchmark: 1360.6367, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.7972, kappa: 0.6245, kb_relative_information_score: 69.1318, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7938, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.7448, scimark_benchmark: 1353.3951, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7665, kappa: 0.5639, kb_relative_information_score: 73.1441, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.774, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.315, root_relative_squared_error: 0.8654, scimark_benchmark: 1334.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7767, kappa: 0.5933, kb_relative_information_score: 79.4135, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7707, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8747, scimark_benchmark: 1318.2298, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8581, kappa: 0.733, kb_relative_information_score: 100.9684, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8592, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.6721, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7622, kappa: 0.5444, kb_relative_information_score: 84.3057, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7679, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.8097, scimark_benchmark: 942.9708, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8336, kappa: 0.6959, kb_relative_information_score: 79.9236, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.836, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.6671, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7767, kappa: 0.5933, kb_relative_information_score: 79.4135, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7707, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8747, scimark_benchmark: 1315.933, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8578, kappa: 0.7294, kb_relative_information_score: 102.0303, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8589, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6366, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7622, kappa: 0.5444, kb_relative_information_score: 84.3057, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7679, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.8097, scimark_benchmark: 1345.7204, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8336, kappa: 0.6959, kb_relative_information_score: 79.9236, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.836, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.6671, scimark_benchmark: 1345.7204, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8316, kappa: 0.6806, kb_relative_information_score: 99.1077, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8336, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.7616, scimark_benchmark: 1064.8317, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7665, kappa: 0.5639, kb_relative_information_score: 73.1441, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.774, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.315, root_relative_squared_error: 0.8654, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8493, kappa: 0.7115, kb_relative_information_score: 93.6149, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8571, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.6822, scimark_benchmark: 1357.5655, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7435, kappa: 0.5316, kb_relative_information_score: 45.3738, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7364, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.8488, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8317, kappa: 0.6832, kb_relative_information_score: 99.9506, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8329, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7277, scimark_benchmark: 1327.2954, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.7795, kappa: 0.5877, kb_relative_information_score: 70.8551, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7757, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.8488, scimark_benchmark: 1345.842, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8707, kappa: 0.7564, kb_relative_information_score: 106.1742, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8705, predictive_accuracy: 0.8716, prior_entropy: 1.2818, recall: 0.8716, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.6778, scimark_benchmark: 892.0148, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.7944, kappa: 0.6258, kb_relative_information_score: 55.3002, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7848, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.7625, scimark_benchmark: 1347.5461, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.7782, kappa: 0.597, kb_relative_information_score: 54.8277, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7652, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.7671, scimark_benchmark: 1342.1678, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8109, kappa: 0.6404, kb_relative_information_score: 95.8617, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.812, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7185, scimark_benchmark: 1327.2954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.751, kappa: 0.5354, kb_relative_information_score: 69.0986, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7466, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.8667, scimark_benchmark: 885.0921, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8848, kappa: 0.7809, kb_relative_information_score: 102.3814, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8859, predictive_accuracy: 0.8851, prior_entropy: 1.2818, recall: 0.8851, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.6281, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.796, kappa: 0.6167, kb_relative_information_score: 79.547, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7955, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.8055, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.737, kappa: 0.5195, kb_relative_information_score: 57.075, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7315, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.8111, scimark_benchmark: 961.21, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.751, kappa: 0.5354, kb_relative_information_score: 69.0986, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7466, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.8667, scimark_benchmark: 1302.224, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8444, kappa: 0.7061, kb_relative_information_score: 100.4824, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8443, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.6911, scimark_benchmark: 1334.4761, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8581, kappa: 0.733, kb_relative_information_score: 100.9684, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8592, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.6721, scimark_benchmark: 1334.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.822, kappa: 0.6597, kb_relative_information_score: 91.1489, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8279, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.286, root_relative_squared_error: 0.7859, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8361, kappa: 0.6869, kb_relative_information_score: 98.789, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8405, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.7824, scimark_benchmark: 937.5996, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.3872, kb_relative_information_score: -0.2543, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3642, root_relative_squared_error: 1.0006, scimark_benchmark: 1316.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.4944, kappa: 0.0959, kb_relative_information_score: -28.9435, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.5722, predictive_accuracy: 0.5743, prior_entropy: 1.2818, recall: 0.5743, relative_absolute_error: 1.2673, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3975, root_relative_squared_error: 1.0921, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8391, kappa: 0.7065, kb_relative_information_score: 94.4559, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8448, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491, scimark_benchmark: 765.566, usercpu_time_millis: 1530, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7736, kappa: 0.5795, kb_relative_information_score: 70.8086, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7732, predictive_accuracy: 0.777, prior_entropy: 1.2818, recall: 0.777, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.309, root_relative_squared_error: 0.8489, scimark_benchmark: 1324.5988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.7944, kappa: 0.6258, kb_relative_information_score: 54.1238, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7848, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.7692, scimark_benchmark: 1275.9462, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.769, kappa: 0.5762, kb_relative_information_score: 55.3644, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7559, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.7698, scimark_benchmark: 1321.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8178, kappa: 0.6573, kb_relative_information_score: 84.0311, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8188, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7462, kappa: 0.5308, kb_relative_information_score: 71.4746, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.9714, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8374, kappa: 0.6985, kb_relative_information_score: 94.8333, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8352, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.7484, scimark_benchmark: 927.0753, usercpu_time_millis: 4040, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.8041, kappa: 0.6336, kb_relative_information_score: 87.3654, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8022, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.8451, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.3872, kb_relative_information_score: -0.2543, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3642, root_relative_squared_error: 1.0006, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7871, kappa: 0.602, kb_relative_information_score: 78.5021, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7956, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8312, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8218, kappa: 0.6678, kb_relative_information_score: 91.7962, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8198, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.7967, scimark_benchmark: 942.6953, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8148, kappa: 0.6538, kb_relative_information_score: 91.1536, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8121, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.8219, scimark_benchmark: 922.9039, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.8014, kappa: 0.6282, kb_relative_information_score: 86.8936, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7987, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.8457, scimark_benchmark: 911.0478, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.8014, kappa: 0.6282, kb_relative_information_score: 86.2909, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7987, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.8479, scimark_benchmark: 945.6434, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7367, kappa: 0.5178, kb_relative_information_score: 21.2073, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7285, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.9002, scimark_benchmark: 922.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7367, kappa: 0.5178, kb_relative_information_score: 40.8657, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7285, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.8619, scimark_benchmark: 938.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7367, kappa: 0.5178, kb_relative_information_score: 44.2173, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7285, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.8548, scimark_benchmark: 876.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7431, kappa: 0.53, kb_relative_information_score: 52.4287, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7335, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.8598, scimark_benchmark: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7548, kappa: 0.5514, kb_relative_information_score: 69.2776, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7401, predictive_accuracy: 0.7703, prior_entropy: 1.2818, recall: 0.7703, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.8829, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8316, kappa: 0.6806, kb_relative_information_score: 99.1077, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8336, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.7616, scimark_benchmark: 938.9865, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8317, kappa: 0.6832, kb_relative_information_score: 99.9506, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8329, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.7277, scimark_benchmark: 902.4773, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8444, kappa: 0.7061, kb_relative_information_score: 100.4817, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8443, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.6911, scimark_benchmark: 932.3943, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8109, kappa: 0.6404, kb_relative_information_score: 95.8616, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.812, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7185, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8044, kappa: 0.6282, kb_relative_information_score: 88.4316, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8057, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.7398, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.3872, kb_relative_information_score: -0.2543, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3642, root_relative_squared_error: 1.0006, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8361, kappa: 0.6886, kb_relative_information_score: 82.0398, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8397, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.247, root_relative_squared_error: 0.6788, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.3872, kb_relative_information_score: -0.2543, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3642, root_relative_squared_error: 1.0006, scimark_benchmark: 938.9865,

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