OpenML
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 1891 Supervised Classification balance-scale 185 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6769, kappa: 0.4505, kb_relative_information_score: 1954.4525, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6576, predictive_accuracy: 0.7018, prior_entropy: 1.3212, recall: 0.7018, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8856, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.811, kappa: 0.7084, kb_relative_information_score: 3240.7298, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7835, predictive_accuracy: 0.8419, prior_entropy: 1.3212, recall: 0.8419, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6476, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6769, kappa: 0.4505, kb_relative_information_score: 1954.4525, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6576, predictive_accuracy: 0.7018, prior_entropy: 1.3212, recall: 0.7018, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8856, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7835, kappa: 0.6235, kb_relative_information_score: 3366.2941, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7804, predictive_accuracy: 0.7869, prior_entropy: 1.3212, recall: 0.7869, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7978, scimark_benchmark: 1340.1351, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8381, kappa: 0.7148, kb_relative_information_score: 4145.7753, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8389, predictive_accuracy: 0.8374, prior_entropy: 1.3212, recall: 0.8374, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.7141, scimark_benchmark: 1301.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8232, kappa: 0.7371, kb_relative_information_score: 1570.3747, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.791, predictive_accuracy: 0.8582, prior_entropy: 1.3212, recall: 0.8582, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.8071, scimark_benchmark: 1347.5461, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8143, kappa: 0.7199, kb_relative_information_score: 1571.3607, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7824, predictive_accuracy: 0.849, prior_entropy: 1.3212, recall: 0.849, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.8075, scimark_benchmark: 1345.7582, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8194, kappa: 0.7279, kb_relative_information_score: 3223.9314, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7884, predictive_accuracy: 0.853, prior_entropy: 1.3212, recall: 0.853, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.6318, scimark_benchmark: 1342.3004, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7625, kappa: 0.5985, kb_relative_information_score: 3200.156, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7489, predictive_accuracy: 0.7768, prior_entropy: 1.3212, recall: 0.7768, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.8257, scimark_benchmark: 916.5769, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8119, kappa: 0.7151, kb_relative_information_score: 3611.9508, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7802, predictive_accuracy: 0.8464, prior_entropy: 1.3212, recall: 0.8464, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.6185, scimark_benchmark: 1331.2332, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6769, kappa: 0.4505, kb_relative_information_score: 1954.4525, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6576, predictive_accuracy: 0.7018, prior_entropy: 1.3212, recall: 0.7018, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8856, scimark_benchmark: 1357.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.783, kappa: 0.6593, kb_relative_information_score: 1565.7908, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7523, predictive_accuracy: 0.8163, prior_entropy: 1.3212, recall: 0.8163, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.8114, scimark_benchmark: 1348.7888, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9611, kappa: 0.9369, kb_relative_information_score: 5240.0977, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.9639, predictive_accuracy: 0.9648, prior_entropy: 1.3212, recall: 0.9648, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3647, scimark_benchmark: 1337.5749, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8162, kappa: 0.7196, kb_relative_information_score: 3251.1061, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7866, predictive_accuracy: 0.8482, prior_entropy: 1.3212, recall: 0.8482, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.6372, scimark_benchmark: 854.5188, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.6677, kappa: 0.4357, kb_relative_information_score: 2721.0767, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6424, predictive_accuracy: 0.6952, prior_entropy: 1.3212, recall: 0.6952, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.7296, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6769, kappa: 0.4505, kb_relative_information_score: 1954.4525, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6576, predictive_accuracy: 0.7018, prior_entropy: 1.3212, recall: 0.7018, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8856, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.6892, kappa: 0.478, kb_relative_information_score: 2236.8587, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6622, predictive_accuracy: 0.7186, prior_entropy: 1.3212, recall: 0.7186, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.7516, scimark_benchmark: 1321.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6769, kappa: 0.4505, kb_relative_information_score: 1954.4525, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6576, predictive_accuracy: 0.7018, prior_entropy: 1.3212, recall: 0.7018, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8856, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8834, kappa: 0.8127, kb_relative_information_score: 4478.8365, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8768, predictive_accuracy: 0.8962, prior_entropy: 1.3212, recall: 0.8962, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.517, scimark_benchmark: 1326.8946, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8292, kappa: 0.7487, kb_relative_information_score: 4294.1723, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7967, predictive_accuracy: 0.8645, prior_entropy: 1.3212, recall: 0.8645, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6901, scimark_benchmark: 934.4732, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8541, kappa: 0.7968, kb_relative_information_score: 3143.0499, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8207, predictive_accuracy: 0.8904, prior_entropy: 1.3212, recall: 0.8904, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.6275, scimark_benchmark: 1328.8457, usercpu_time_millis: 470, usercpu_time_millis_testing: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8446, kappa: 0.7573, kb_relative_information_score: 3577.935, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8267, predictive_accuracy: 0.8664, prior_entropy: 1.3212, recall: 0.8664, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.6384, scimark_benchmark: 1327.9121, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7852, kappa: 0.6229, kb_relative_information_score: 3542.9446, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7853, predictive_accuracy: 0.7854, prior_entropy: 1.3212, recall: 0.7854, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.8683, scimark_benchmark: 1346.3935, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2907, kb_relative_information_score: -561.4374, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.2123, predictive_accuracy: 0.4608, prior_entropy: 1.3212, recall: 0.4608, relative_absolute_error: 1.1703, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0823, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.6001, kappa: 0.3059, kb_relative_information_score: 1119.1397, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.577, predictive_accuracy: 0.6258, prior_entropy: 1.3212, recall: 0.6258, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.9311, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7772, kappa: 0.6481, kb_relative_information_score: 3250.983, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7467, predictive_accuracy: 0.8102, prior_entropy: 1.3212, recall: 0.8102, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.7562, scimark_benchmark: 789.1062, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9245, kappa: 0.891, kb_relative_information_score: 4938.8801, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.9396, predictive_accuracy: 0.9403, prior_entropy: 1.3212, recall: 0.9403, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.4111, scimark_benchmark: 1339.8573, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8193, kappa: 0.7274, kb_relative_information_score: 3232.9935, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7884, predictive_accuracy: 0.8526, prior_entropy: 1.3212, recall: 0.8526, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6323, scimark_benchmark: 1310.6407, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.862, kappa: 0.8112, kb_relative_information_score: 4613.5202, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8287, predictive_accuracy: 0.8981, prior_entropy: 1.3212, recall: 0.8981, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5984, scimark_benchmark: 898.1296, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.862, kappa: 0.8112, kb_relative_information_score: 4613.5202, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8287, predictive_accuracy: 0.8981, prior_entropy: 1.3212, recall: 0.8981, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5984, scimark_benchmark: 1034.2235, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 1205.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8381, kappa: 0.7148, kb_relative_information_score: 4145.7753, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8389, predictive_accuracy: 0.8374, prior_entropy: 1.3212, recall: 0.8374, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.7141, scimark_benchmark: 1337.2572, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6769, kappa: 0.4505, kb_relative_information_score: 1954.4525, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6576, predictive_accuracy: 0.7018, prior_entropy: 1.3212, recall: 0.7018, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8856, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8674, kappa: 0.8226, kb_relative_information_score: 2938.4129, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8334, predictive_accuracy: 0.9043, prior_entropy: 1.3212, recall: 0.9043, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.6397, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8674, kappa: 0.8226, kb_relative_information_score: 2938.4129, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8334, predictive_accuracy: 0.9043, prior_entropy: 1.3212, recall: 0.9043, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.6397, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9006, kappa: 0.8188, kb_relative_information_score: 4863.8234, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.9088, predictive_accuracy: 0.8949, prior_entropy: 1.3212, recall: 0.8949, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4804, scimark_benchmark: 1419.2433, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7777, kappa: 0.6394, kb_relative_information_score: 3721.2619, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7562, predictive_accuracy: 0.8034, prior_entropy: 1.3212, recall: 0.8034, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.8312, scimark_benchmark: 1466.6185, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.4718, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7625, kappa: 0.5985, kb_relative_information_score: 3200.156, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7489, predictive_accuracy: 0.7768, prior_entropy: 1.3212, recall: 0.7768, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.8257, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 3.2982, build_memory: 2974517359.0797, f_measure: 0.8366, kappa: 0.7629, kb_relative_information_score: 3337.0171, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8038, predictive_accuracy: 0.8722, prior_entropy: 1.3212, recall: 0.8722, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.6023, scimark_benchmark: 791.0313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, build_cpu_time: 4.712, build_memory: 112776901.8611, f_measure: 0.8402, kappa: 0.7698, kb_relative_information_score: 3341.7901, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8074, predictive_accuracy: 0.8758, prior_entropy: 1.3212, recall: 0.8758, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.6003, scimark_benchmark: 903.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, build_cpu_time: 0.5026, build_memory: 162215418.8186, f_measure: 0.8191, kappa: 0.7011, kb_relative_information_score: 3455.502, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8051, predictive_accuracy: 0.8336, prior_entropy: 1.3212, recall: 0.8336, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.6306, scimark_benchmark: 943.1955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, build_cpu_time: 0.2579, build_memory: 815203073.0253, f_measure: 0.8189, kappa: 0.7, kb_relative_information_score: 3461.7693, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8055, predictive_accuracy: 0.8328, prior_entropy: 1.3212, recall: 0.8328, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6322, scimark_benchmark: 896.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, build_cpu_time: 0.1372, build_memory: 364532084.9536, f_measure: 0.8176, kappa: 0.6955, kb_relative_information_score: 3458.7915, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8057, predictive_accuracy: 0.8299, prior_entropy: 1.3212, recall: 0.8299, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.637, scimark_benchmark: 942.2444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, build_cpu_time: 0.0629, build_memory: 1485436405.3005, f_measure: 0.8157, kappa: 0.6929, kb_relative_information_score: 3469.115, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8031, predictive_accuracy: 0.8286, prior_entropy: 1.3212, recall: 0.8286, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.6424, scimark_benchmark: 939.7953,

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