OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1212.9824, usercpu_time_millis: 263.51, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 262.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9488, kappa: 0.7996, kb_relative_information_score: 4704.7477, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5411, scimark_benchmark: 1258.9507, usercpu_time_millis: 627.459, usercpu_time_millis_testing: 7.562, usercpu_time_millis_training: 619.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9195, kappa: 0.6733, kb_relative_information_score: 3493.9713, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9218, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788, scimark_benchmark: 1261.7391, usercpu_time_millis: 625.986, usercpu_time_millis_testing: 7.409, usercpu_time_millis_training: 618.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.989, kappa: 0.9577, kb_relative_information_score: 6193.6432, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.6204, recall: 0.9891, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2366, scimark_benchmark: 1232.6014, usercpu_time_millis: 497.271, usercpu_time_millis_testing: 3.74, usercpu_time_millis_training: 493.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1228.4837, usercpu_time_millis: 250.06, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 249.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6512.0364, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0369, root_relative_squared_error: 0.1021, scimark_benchmark: 1229.6829, usercpu_time_millis: 287.968, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 286.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9611, kappa: 0.8477, kb_relative_information_score: 5168.081, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9612, predictive_accuracy: 0.962, prior_entropy: 0.6204, recall: 0.962, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.4609, scimark_benchmark: 1231.2815, usercpu_time_millis: 438.541, usercpu_time_millis_testing: 3.246, usercpu_time_millis_training: 435.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5155.0191, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9631, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.4643, scimark_benchmark: 1225.6844, usercpu_time_millis: 652.747, usercpu_time_millis_testing: 5.923, usercpu_time_millis_training: 646.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1226.5413, usercpu_time_millis: 277.267, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 276.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.3322, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0158, root_relative_squared_error: 0.0437, scimark_benchmark: 1258.6308, usercpu_time_millis: 231.08, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 230.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1274.2359, usercpu_time_millis: 233.609, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 232.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6495.1846, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.113, scimark_benchmark: 1257.9041, usercpu_time_millis: 259.883, usercpu_time_millis_testing: 1.58, usercpu_time_millis_training: 258.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.7747, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.015, root_relative_squared_error: 0.0415, scimark_benchmark: 1270.3186, usercpu_time_millis: 215.732, usercpu_time_millis_testing: 1.477, usercpu_time_millis_training: 214.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6558.203, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.069, scimark_benchmark: 1224.0778, usercpu_time_millis: 261.752, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 260.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6569.0309, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0177, root_relative_squared_error: 0.0489, scimark_benchmark: 1256.9296, usercpu_time_millis: 223.881, usercpu_time_millis_testing: 1.521, usercpu_time_millis_training: 222.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1259.2643, usercpu_time_millis: 231.329, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 230.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9654, kappa: 0.8655, kb_relative_information_score: 5233.3759, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9653, predictive_accuracy: 0.9659, prior_entropy: 0.6204, recall: 0.9659, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4537, scimark_benchmark: 1227.0818, usercpu_time_millis: 563.55, usercpu_time_millis_testing: 5.967, usercpu_time_millis_training: 557.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.9818, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0161, root_relative_squared_error: 0.0445, scimark_benchmark: 1242.123, usercpu_time_millis: 260.136, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 259.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9919, kappa: 0.969, kb_relative_information_score: 6215.4199, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.6204, recall: 0.992, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.2254, scimark_benchmark: 1228.5296, usercpu_time_millis: 309.584, usercpu_time_millis_testing: 2.487, usercpu_time_millis_training: 307.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9669, kappa: 0.8714, kb_relative_information_score: 5173.3917, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.156, root_relative_squared_error: 0.432, scimark_benchmark: 1266.3154, usercpu_time_millis: 366.418, usercpu_time_millis_testing: 2.581, usercpu_time_millis_training: 363.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9562, kappa: 0.8276, kb_relative_information_score: 4782.6405, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9564, predictive_accuracy: 0.9574, prior_entropy: 0.6204, recall: 0.9574, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.496, scimark_benchmark: 1221.4178, usercpu_time_millis: 371.37, usercpu_time_millis_testing: 2.761, usercpu_time_millis_training: 368.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1249.3243, usercpu_time_millis: 257.973, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 257.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9741, kappa: 0.8993, kb_relative_information_score: 5612.4117, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9742, predictive_accuracy: 0.9745, prior_entropy: 0.6204, recall: 0.9745, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.3889, scimark_benchmark: 1232.3244, usercpu_time_millis: 502.74, usercpu_time_millis_testing: 3.561, usercpu_time_millis_training: 499.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.949, kappa: 0.8005, kb_relative_information_score: 4707.7593, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9487, predictive_accuracy: 0.95, prior_entropy: 0.6204, recall: 0.95, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5411, scimark_benchmark: 1262.2978, usercpu_time_millis: 631.968, usercpu_time_millis_testing: 6.383, usercpu_time_millis_training: 625.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9827, kappa: 0.9334, kb_relative_information_score: 5850.9597, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9827, predictive_accuracy: 0.9827, prior_entropy: 0.6204, recall: 0.9827, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3126, scimark_benchmark: 1233.7344, usercpu_time_millis: 327.71, usercpu_time_millis_testing: 2.408, usercpu_time_millis_training: 325.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1223.482, usercpu_time_millis: 285.735, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 284.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9777, kappa: 0.9142, kb_relative_information_score: 5705.1828, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9777, predictive_accuracy: 0.9779, prior_entropy: 0.6204, recall: 0.9779, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.3604, scimark_benchmark: 1269.9848, usercpu_time_millis: 350.81, usercpu_time_millis_testing: 2.941, usercpu_time_millis_training: 347.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6508.1299, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.113, scimark_benchmark: 1262.3626, usercpu_time_millis: 190.603, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 189.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1220.6128, usercpu_time_millis: 254.055, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 253.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9953, kappa: 0.9821, kb_relative_information_score: 6371.106, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.6204, recall: 0.9953, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.17, scimark_benchmark: 1225.0757, usercpu_time_millis: 288.455, usercpu_time_millis_testing: 2.462, usercpu_time_millis_training: 285.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.5802, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1280.2869, usercpu_time_millis: 125.254, usercpu_time_millis_testing: 3.146, usercpu_time_millis_training: 122.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.2781, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0018, root_relative_squared_error: 0.005, scimark_benchmark: 1276.259, usercpu_time_millis: 364.704, usercpu_time_millis_testing: 5.671, usercpu_time_millis_training: 359.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.4879, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1229.1219, usercpu_time_millis: 320.794, usercpu_time_millis_testing: 5.562, usercpu_time_millis_training: 315.232,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6557.7506, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.009, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0128, root_relative_squared_error: 0.0353, scimark_benchmark: 1273.3721, usercpu_time_millis: 99.191, usercpu_time_millis_testing: 3.535, usercpu_time_millis_training: 95.656,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.3909, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1278.396, usercpu_time_millis: 213.047, usercpu_time_millis_testing: 5.104, usercpu_time_millis_training: 207.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.8711, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0013, root_relative_squared_error: 0.0036, scimark_benchmark: 1226.0756, usercpu_time_millis: 200.178, usercpu_time_millis_testing: 3.279, usercpu_time_millis_training: 196.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.6525, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0022, root_relative_squared_error: 0.006, scimark_benchmark: 1224.2869, usercpu_time_millis: 112.334, usercpu_time_millis_testing: 2.304, usercpu_time_millis_training: 110.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.4402, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0678, scimark_benchmark: 1285.9484, usercpu_time_millis: 156.453, usercpu_time_millis_testing: 2.702, usercpu_time_millis_training: 153.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.3465, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0089, root_relative_squared_error: 0.0246, scimark_benchmark: 1226.6229, usercpu_time_millis: 76.06, usercpu_time_millis_testing: 2.663, usercpu_time_millis_training: 73.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6575.436, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0049, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.004, root_relative_squared_error: 0.0111, scimark_benchmark: 1240.0015, usercpu_time_millis: 427.871, usercpu_time_millis_testing: 6.093, usercpu_time_millis_training: 421.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6500.1874, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1279.1729, usercpu_time_millis: 295.145, usercpu_time_millis_testing: 8.54, usercpu_time_millis_training: 286.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6425.4927, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.03, root_relative_squared_error: 0.0831, scimark_benchmark: 1216.5822, usercpu_time_millis: 642.265, usercpu_time_millis_testing: 12.562, usercpu_time_millis_training: 629.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.994, kappa: 0.977, kb_relative_information_score: 5730.4727, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.6204, recall: 0.9941, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.2661, scimark_benchmark: 1268.7303, usercpu_time_millis: 374.563, usercpu_time_millis_testing: 14.141, usercpu_time_millis_training: 360.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6560.8435, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.0713, scimark_benchmark: 1273.9019, usercpu_time_millis: 199.225, usercpu_time_millis_testing: 5.539, usercpu_time_millis_training: 193.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6573.3895, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0056, root_relative_squared_error: 0.0156, scimark_benchmark: 1227.2372, usercpu_time_millis: 397.276, usercpu_time_millis_testing: 7.735, usercpu_time_millis_training: 389.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6570.1868, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0047, root_relative_squared_error: 0.013, scimark_benchmark: 1279.0862, usercpu_time_millis: 403.203, usercpu_time_millis_testing: 5.954, usercpu_time_millis_training: 397.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.466, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0683, scimark_benchmark: 1271.0446, usercpu_time_millis: 212.171, usercpu_time_millis_testing: 4.472, usercpu_time_millis_training: 207.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.8859, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1276.1113, usercpu_time_millis: 52.457, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 51.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6381.2935, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0916, scimark_benchmark: 1231.2695, usercpu_time_millis: 219.408, usercpu_time_millis_testing: 6.828, usercpu_time_millis_training: 212.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6505.0276, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.067, scimark_benchmark: 1285.6037, usercpu_time_millis: 415.425, usercpu_time_millis_testing: 7.935, usercpu_time_millis_training: 407.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6390.6913, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0343, root_relative_squared_error: 0.095, scimark_benchmark: 1270.8524, usercpu_time_millis: 583.191, usercpu_time_millis_testing: 11.989, usercpu_time_millis_training: 571.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.0561, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1224.7252, usercpu_time_millis: 349.982, usercpu_time_millis_testing: 4.837, usercpu_time_millis_training: 345.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6237.6486, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1443, scimark_benchmark: 1234.6938, usercpu_time_millis: 361.204, usercpu_time_millis_testing: 9.495, usercpu_time_millis_training: 351.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6569.0077, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0679, scimark_benchmark: 1276.6183, usercpu_time_millis: 22.027, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 20.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6568.1602, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.005, root_relative_squared_error: 0.014, scimark_benchmark: 1233.8232, usercpu_time_millis: 614.112, usercpu_time_millis_testing: 8.942, usercpu_time_millis_training: 605.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6294.9735, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0404, root_relative_squared_error: 0.1118, scimark_benchmark: 1271.8038, usercpu_time_millis: 252.752, usercpu_time_millis_testing: 7.494, usercpu_time_millis_training: 245.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.8931, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0052, root_relative_squared_error: 0.0144, scimark_benchmark: 1237.9857, usercpu_time_millis: 232.291, usercpu_time_millis_testing: 5.38, usercpu_time_millis_training: 226.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6589.8774, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0075, root_relative_squared_error: 0.0208, scimark_benchmark: 1272.0931, usercpu_time_millis: 146.337, usercpu_time_millis_testing: 3.829, usercpu_time_millis_training: 142.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9903, kappa: 0.9624, kb_relative_information_score: 5566.2043, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.6204, recall: 0.9905, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2979, scimark_benchmark: 1270.9941, usercpu_time_millis: 358.343, usercpu_time_millis_testing: 14.986, usercpu_time_millis_training: 343.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6530.4372, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0296, root_relative_squared_error: 0.0821, scimark_benchmark: 1276.9187, usercpu_time_millis: 116.746, usercpu_time_millis_testing: 5.231, usercpu_time_millis_training: 111.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6528.2344, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0232, root_relative_squared_error: 0.0642, scimark_benchmark: 1237.3366, usercpu_time_millis: 618.887, usercpu_time_millis_testing: 8.708, usercpu_time_millis_training: 610.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.1544, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0002, root_relative_squared_error: 0.0007, scimark_benchmark: 1217.3688, usercpu_time_millis: 153.679, usercpu_time_millis_testing: 2.726, usercpu_time_millis_training: 150.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6059.5402, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.1581, scimark_benchmark: 1280.5757, usercpu_time_millis: 164.898, usercpu_time_millis_testing: 7.901, usercpu_time_millis_training: 156.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6560.7113, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.069, scimark_benchmark: 1272.3755, usercpu_time_millis: 172.479, usercpu_time_millis_testing: 4.741, usercpu_time_millis_training: 167.738,

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