OpenML
Supervised Classification on segment

Supervised Classification on segment

Task 3821 Supervised Classification segment 558 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9909, kappa: 0.9626, kb_relative_information_score: 2184.319, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.5925, recall: 0.9909, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.2704, scimark_benchmark: 1384.4418, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8637, kappa: 0.5602, kb_relative_information_score: 457.0651, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9239, predictive_accuracy: 0.8442, prior_entropy: 0.5925, recall: 0.8442, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.1133, scimark_benchmark: 931.2336, usercpu_time_millis: 640, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.863, kappa: 0.5585, kb_relative_information_score: 476.9244, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9237, predictive_accuracy: 0.8433, prior_entropy: 0.5925, recall: 0.8433, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3691, root_relative_squared_error: 1.0547, scimark_benchmark: 945.6434, usercpu_time_millis: 790, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8599, kappa: 0.5519, kb_relative_information_score: 361.7684, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9233, predictive_accuracy: 0.8394, prior_entropy: 0.5925, recall: 0.8394, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9588, scimark_benchmark: 941.7954, usercpu_time_millis: 540, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8599, kappa: 0.5519, kb_relative_information_score: 361.7684, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9233, predictive_accuracy: 0.8394, prior_entropy: 0.5925, recall: 0.8394, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9588, scimark_benchmark: 942.3168, usercpu_time_millis: 520, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8599, kappa: 0.5519, kb_relative_information_score: 361.7684, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9233, predictive_accuracy: 0.8394, prior_entropy: 0.5925, recall: 0.8394, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9588, scimark_benchmark: 894.7455, usercpu_time_millis: 530, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.997, kappa: 0.9876, kb_relative_information_score: 2271.6545, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.5925, recall: 0.997, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1471, scimark_benchmark: 940.2922, usercpu_time_millis: 2090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9939, kappa: 0.9753, kb_relative_information_score: 2232.1174, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.5925, recall: 0.9939, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.076, root_relative_squared_error: 0.2173, scimark_benchmark: 938.2848, usercpu_time_millis: 980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9939, kappa: 0.9752, kb_relative_information_score: 2230.9967, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.5925, recall: 0.9939, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.2108, scimark_benchmark: 938.2848, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9931, kappa: 0.9716, kb_relative_information_score: 2210.3634, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.5925, recall: 0.9931, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.2297, scimark_benchmark: 922.9039, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9579, kappa: 0.8226, kb_relative_information_score: 1880.305, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9584, predictive_accuracy: 0.9593, prior_entropy: 0.5925, recall: 0.9593, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.162, root_relative_squared_error: 0.4629, scimark_benchmark: 938.9865, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9974, kappa: 0.9894, kb_relative_information_score: 2277.2252, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.5925, recall: 0.9974, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1378, scimark_benchmark: 936.6206, usercpu_time_millis: 1390, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9974, kappa: 0.9894, kb_relative_information_score: 2273.5727, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.5925, recall: 0.9974, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1391, scimark_benchmark: 924.6116, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9978, kappa: 0.9912, kb_relative_information_score: 2265.9204, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.5925, recall: 0.9978, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.1305, scimark_benchmark: 945.6434, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9957, kappa: 0.9823, kb_relative_information_score: 2220.7312, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9957, predictive_accuracy: 0.9957, prior_entropy: 0.5925, recall: 0.9957, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1619, scimark_benchmark: 947.9494, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9944, kappa: 0.9769, kb_relative_information_score: 2142.8043, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.5925, recall: 0.9944, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.2049, scimark_benchmark: 931.2336, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7912, kb_relative_information_score: -0.9515, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.7347, predictive_accuracy: 0.8571, prior_entropy: 0.5925, recall: 0.8571, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3499, root_relative_squared_error: 1, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9909, kappa: 0.9625, kb_relative_information_score: 2230.5596, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.5925, recall: 0.9909, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.1911, scimark_benchmark: 934.5243, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9909, kappa: 0.9629, kb_relative_information_score: 2162.9958, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.5925, recall: 0.9909, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.2653, scimark_benchmark: 930.32, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9894, kb_relative_information_score: 2249.7343, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.5925, recall: 0.9974, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1309, scimark_benchmark: 902.4773, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9232, kappa: 0.6571, kb_relative_information_score: 746.8645, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9357, predictive_accuracy: 0.932, prior_entropy: 0.5925, recall: 0.932, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.6898, scimark_benchmark: 932.3943, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9944, kappa: 0.9769, kb_relative_information_score: 2142.8043, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.5925, recall: 0.9944, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.2049, scimark_benchmark: 911.0478, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7912, kb_relative_information_score: 620.7996, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.7347, predictive_accuracy: 0.8571, prior_entropy: 0.5925, recall: 0.8571, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.378, root_relative_squared_error: 1.0801, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9909, kappa: 0.9626, kb_relative_information_score: 2184.319, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.5925, recall: 0.9909, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.2704, scimark_benchmark: 929.0255, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9939, kappa: 0.9751, kb_relative_information_score: 2110.9747, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.5925, recall: 0.9939, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.2238, scimark_benchmark: 947.9494, usercpu_time_millis: 2220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9241, kappa: 0.6619, kb_relative_information_score: 798.4237, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9352, predictive_accuracy: 0.9325, prior_entropy: 0.5925, recall: 0.9325, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.6864, scimark_benchmark: 917.7039, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9965, kappa: 0.9859, kb_relative_information_score: 2243.4991, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9966, predictive_accuracy: 0.9965, prior_entropy: 0.5925, recall: 0.9965, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1572, scimark_benchmark: 945.6434, usercpu_time_millis: 15630, usercpu_time_millis_testing: 15600, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9987, kappa: 0.9947, kb_relative_information_score: 2291.5038, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 0.5925, recall: 0.9987, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.036, root_relative_squared_error: 0.103, scimark_benchmark: 1078.4764, usercpu_time_millis: 6470, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 6370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9987, kappa: 0.9947, kb_relative_information_score: 2291.5038, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 0.5925, recall: 0.9987, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.036, root_relative_squared_error: 0.103, scimark_benchmark: 915.2795, usercpu_time_millis: 7130, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 6960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9983, kappa: 0.9929, kb_relative_information_score: 2288.1479, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.5925, recall: 0.9983, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0391, root_relative_squared_error: 0.1118, scimark_benchmark: 947.0793, usercpu_time_millis: 1690, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2987, f_measure: 0.5806, kappa: -0.2532, kb_relative_information_score: -3451.3657, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.6702, predictive_accuracy: 0.5121, prior_entropy: 0.5925, recall: 0.5121, relative_absolute_error: 1.9904, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.6985, root_relative_squared_error: 1.9961, scimark_benchmark: 948.1045, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9974, kappa: 0.9894, kb_relative_information_score: 2280.1792, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.5925, recall: 0.9974, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.046, root_relative_squared_error: 0.1315, scimark_benchmark: 938.9865, usercpu_time_millis: 2070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9957, kappa: 0.9823, kb_relative_information_score: 2257.118, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9957, predictive_accuracy: 0.9957, prior_entropy: 0.5925, recall: 0.9957, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.056, root_relative_squared_error: 0.16, scimark_benchmark: 923.9763, usercpu_time_millis: 230, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7912, kb_relative_information_score: 620.7996, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.7347, predictive_accuracy: 0.8571, prior_entropy: 0.5925, recall: 0.8571, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.378, root_relative_squared_error: 1.0801, scimark_benchmark: 934.6252, usercpu_time_millis: 3390, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9974, kappa: 0.9893, kb_relative_information_score: 2276.2344, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.5925, recall: 0.9974, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1456, scimark_benchmark: 940.3346, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2987, build_cpu_time: 0.1258, build_memory: 627049064, f_measure: 0.5806, kappa: -0.2532, kb_relative_information_score: -3451.3657, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.6702, predictive_accuracy: 0.5121, prior_entropy: 0.5925, recall: 0.5121, relative_absolute_error: 1.9904, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.6985, root_relative_squared_error: 1.9961, scimark_benchmark: 945.7844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 0.0005, build_memory: 486135609.6, f_measure: 0.9965, kappa: 0.9859, kb_relative_information_score: 2263.4403, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9966, predictive_accuracy: 0.9965, prior_entropy: 0.5925, recall: 0.9965, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.1681, scimark_benchmark: 915.0385,
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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