OpenML
Supervised Classification on leukemia

Supervised Classification on leukemia

Task 4645 Supervised Classification leukemia 164 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.847, kappa: 0.671, kb_relative_information_score: 441.3011, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8565, predictive_accuracy: 0.8444, prior_entropy: 0.9353, recall: 0.8444, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7903, scimark_benchmark: 1337.6765, usercpu_time_millis: 12560, usercpu_time_millis_testing: 12560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: -119.7335, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 1.0999, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0502, scimark_benchmark: 1358.4523, usercpu_time_millis: 92630, usercpu_time_millis_testing: 92630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8696, kappa: 0.7083, kb_relative_information_score: 494.8503, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.872, predictive_accuracy: 0.8722, prior_entropy: 0.9353, recall: 0.8722, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7401, scimark_benchmark: 1313.0885, usercpu_time_millis: 320, usercpu_time_millis_testing: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.8696, kappa: 0.7083, kb_relative_information_score: 507.321, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.872, predictive_accuracy: 0.8722, prior_entropy: 0.9353, recall: 0.8722, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7508, scimark_benchmark: 1340.1351, usercpu_time_millis: 500, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.6614, kappa: 0.3927, kb_relative_information_score: 16.9157, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8209, predictive_accuracy: 0.6639, prior_entropy: 0.9353, recall: 0.6639, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9445, scimark_benchmark: 1345.7204, usercpu_time_millis: 160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5156, kb_relative_information_score: -3.6285, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0019, scimark_benchmark: 765.566, usercpu_time_millis: 1810, usercpu_time_millis_testing: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7041, kappa: 0.3456, kb_relative_information_score: -100.1288, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8207, predictive_accuracy: 0.7528, prior_entropy: 0.9353, recall: 0.7528, relative_absolute_error: 1.0809, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0323, scimark_benchmark: 1316.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9048, kappa: 0.7915, kb_relative_information_score: 559.7879, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9062, predictive_accuracy: 0.9042, prior_entropy: 0.9353, recall: 0.9042, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6502, scimark_benchmark: 1298.4923, usercpu_time_millis: 840, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8648, kappa: 0.7042, kb_relative_information_score: 474.3498, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8666, predictive_accuracy: 0.8639, prior_entropy: 0.9353, recall: 0.8639, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7348, scimark_benchmark: 1341.4232, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8249, kappa: 0.6091, kb_relative_information_score: 402.1852, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8253, predictive_accuracy: 0.8278, prior_entropy: 0.9353, recall: 0.8278, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7705, scimark_benchmark: 1341.4232, usercpu_time_millis: 4570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.8799, kappa: 0.7367, kb_relative_information_score: 492.4445, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8811, predictive_accuracy: 0.8792, prior_entropy: 0.9353, recall: 0.8792, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.7086, scimark_benchmark: 1384.4422, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9511, kappa: 0.8917, kb_relative_information_score: 609.0048, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9353, recall: 0.9514, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4004, scimark_benchmark: 1301.2156, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9804, kappa: 0.9566, kb_relative_information_score: 685.2534, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9809, predictive_accuracy: 0.9806, prior_entropy: 0.9353, recall: 0.9806, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.2929, scimark_benchmark: 1318.5627, usercpu_time_millis: 940, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9495, kappa: 0.8876, kb_relative_information_score: 500.5643, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 0.9353, recall: 0.95, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4587, scimark_benchmark: 1337.6765, usercpu_time_millis: 5950, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 5840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9467, kappa: 0.8816, kb_relative_information_score: 504.9858, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9476, predictive_accuracy: 0.9472, prior_entropy: 0.9353, recall: 0.9472, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.454, scimark_benchmark: 1360.2771, usercpu_time_millis: 2630, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9425, kappa: 0.8721, kb_relative_information_score: 505.4989, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9434, predictive_accuracy: 0.9431, prior_entropy: 0.9353, recall: 0.9431, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4711, scimark_benchmark: 1321.5205, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9679, kappa: 0.9289, kb_relative_information_score: 663.4677, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9353, recall: 0.9681, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3564, scimark_benchmark: 1316.8289, usercpu_time_millis: 3210, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.938, kappa: 0.8618, kb_relative_information_score: 498.849, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.94, predictive_accuracy: 0.9389, prior_entropy: 0.9353, recall: 0.9389, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4782, scimark_benchmark: 1261.7298, usercpu_time_millis: 1390, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 146.8967, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 1334.4761, usercpu_time_millis: 3960, usercpu_time_millis_testing: 1680, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.8348, kappa: 0.6357, kb_relative_information_score: 436.238, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8349, predictive_accuracy: 0.8347, prior_entropy: 0.9353, recall: 0.8347, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8434, scimark_benchmark: 937.5996, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.993, kappa: 0.9846, kb_relative_information_score: 704.9598, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.9353, recall: 0.9931, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.178, scimark_benchmark: 1340.1351, usercpu_time_millis: 420, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 703.5354, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9353, recall: 0.9917, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.191, scimark_benchmark: 1341.994, usercpu_time_millis: 360, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9082, kappa: 0.7949, kb_relative_information_score: 568.9125, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9105, predictive_accuracy: 0.9097, prior_entropy: 0.9353, recall: 0.9097, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6311, scimark_benchmark: 1340.1351, usercpu_time_millis: 730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9194, kappa: 0.8265, kb_relative_information_score: 579.9445, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.928, predictive_accuracy: 0.9181, prior_entropy: 0.9353, recall: 0.9181, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.556, scimark_benchmark: 1350.9691, usercpu_time_millis: 197080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 197070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9511, kappa: 0.8917, kb_relative_information_score: 609.0048, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9353, recall: 0.9514, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4004, scimark_benchmark: 1324.3755, usercpu_time_millis: 600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8262, kappa: 0.6197, kb_relative_information_score: 414.5096, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8282, predictive_accuracy: 0.825, prior_entropy: 0.9353, recall: 0.825, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8563, scimark_benchmark: 1330.7266, usercpu_time_millis: 1260, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9511, kappa: 0.8917, kb_relative_information_score: 609.03, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9353, recall: 0.9514, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4004, scimark_benchmark: 918.6005, usercpu_time_millis: 760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9594, kappa: 0.9099, kb_relative_information_score: 647.5276, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.96, predictive_accuracy: 0.9597, prior_entropy: 0.9353, recall: 0.9597, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3634, scimark_benchmark: 1324.9597, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9349, kappa: 0.8544, kb_relative_information_score: 504.416, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9385, predictive_accuracy: 0.9361, prior_entropy: 0.9353, recall: 0.9361, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4573, scimark_benchmark: 1329.4192, usercpu_time_millis: 5190, usercpu_time_millis_training: 5190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9394, kappa: 0.8648, kb_relative_information_score: 509.0363, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9416, predictive_accuracy: 0.9403, prior_entropy: 0.9353, recall: 0.9403, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.475, scimark_benchmark: 1301.9176, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9693, kappa: 0.9318, kb_relative_information_score: 667.1443, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9353, recall: 0.9694, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3644, scimark_benchmark: 935.5075, usercpu_time_millis: 1534390, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1534270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.778, kappa: 0.5107, kb_relative_information_score: 352.2017, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.7782, predictive_accuracy: 0.7778, prior_entropy: 0.9353, recall: 0.7778, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9901, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.8272, kappa: 0.6252, kb_relative_information_score: 424.0908, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8327, predictive_accuracy: 0.825, prior_entropy: 0.9353, recall: 0.825, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.853, scimark_benchmark: 1368.9272, usercpu_time_millis: 307160, usercpu_time_millis_training: 307160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9378, kappa: 0.861, kb_relative_information_score: 504.3956, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.941, predictive_accuracy: 0.9389, prior_entropy: 0.9353, recall: 0.9389, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4631, scimark_benchmark: 938.9967, usercpu_time_millis: 3060, usercpu_time_millis_training: 3060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9721, kappa: 0.9383, kb_relative_information_score: 671.0234, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3507, scimark_benchmark: 1372.2145, usercpu_time_millis: 26630, usercpu_time_millis_training: 26630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9707, kappa: 0.9351, kb_relative_information_score: 669.703, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9709, predictive_accuracy: 0.9708, prior_entropy: 0.9353, recall: 0.9708, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3539, scimark_benchmark: 915.9324, usercpu_time_millis: 13510, usercpu_time_millis_training: 13510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9707, kappa: 0.9352, kb_relative_information_score: 667.0665, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.9353, recall: 0.9708, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3585, scimark_benchmark: 938.343, usercpu_time_millis: 6780, usercpu_time_millis_training: 6780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9609, kappa: 0.9132, kb_relative_information_score: 655.0282, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9612, predictive_accuracy: 0.9611, prior_entropy: 0.9353, recall: 0.9611, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3967, scimark_benchmark: 1333.5799, usercpu_time_millis: 3230, usercpu_time_millis_training: 3230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9735, kappa: 0.9413, kb_relative_information_score: 672.2971, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 0.9353, recall: 0.9736, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3172, scimark_benchmark: 930.5999, usercpu_time_millis: 1510, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8358, kappa: 0.629, kb_relative_information_score: 392.3505, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8595, predictive_accuracy: 0.8458, prior_entropy: 0.9353, recall: 0.8458, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.699, scimark_benchmark: 1304.6687, usercpu_time_millis: 600, usercpu_time_millis_testing: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8475, kappa: 0.6556, kb_relative_information_score: 428.059, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8663, predictive_accuracy: 0.8556, prior_entropy: 0.9353, recall: 0.8556, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6839, scimark_benchmark: 916.5955, usercpu_time_millis: 620, usercpu_time_millis_testing: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8879, kappa: 0.7507, kb_relative_information_score: 534.695, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8881, predictive_accuracy: 0.8889, prior_entropy: 0.9353, recall: 0.8889, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7001, scimark_benchmark: 942.9518, usercpu_time_millis: 1740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 146.8967, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 922.1419, usercpu_time_millis: 370, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9819, kappa: 0.9599, kb_relative_information_score: 687.5332, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.982, predictive_accuracy: 0.9819, prior_entropy: 0.9353, recall: 0.9819, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.2822, scimark_benchmark: 918.6005, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9345, kappa: 0.8551, kb_relative_information_score: 593.879, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9345, predictive_accuracy: 0.9347, prior_entropy: 0.9353, recall: 0.9347, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.488, scimark_benchmark: 1321.527, usercpu_time_millis: 1310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9652, kappa: 0.923, kb_relative_information_score: 660.1592, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.9353, recall: 0.9653, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3914, scimark_benchmark: 908.2231, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5156, kb_relative_information_score: 56.228, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0325, scimark_benchmark: 942.9708, usercpu_time_millis: 390, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8907, kappa: 0.7534, kb_relative_information_score: 303.1355, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9091, predictive_accuracy: 0.8958, prior_entropy: 0.9353, recall: 0.8958, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.688, scimark_benchmark: 1301.9956, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7485, kappa: 0.4422, kb_relative_information_score: 306.5784, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.7474, predictive_accuracy: 0.75, prior_entropy: 0.9353, recall: 0.75, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0502, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8915, kappa: 0.7639, kb_relative_information_score: 492.5305, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8953, predictive_accuracy: 0.8903, prior_entropy: 0.9353, recall: 0.8903, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6635, scimark_benchmark: 1301.9956, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.8254, kappa: 0.6198, kb_relative_information_score: 406.1069, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8292, predictive_accuracy: 0.8236, prior_entropy: 0.9353, recall: 0.8236, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.849, scimark_benchmark: 1291.6995, usercpu_time_millis: 1540, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9722, kappa: 0.9385, kb_relative_information_score: 671.565, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9353, recall: 0.9722, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3501, scimark_benchmark: 1073.494, usercpu_time_millis: 670, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 146.8967, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 1319.6463, usercpu_time_millis: 1950, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.8279, kappa: 0.6244, kb_relative_information_score: 421.8427, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8309, predictive_accuracy: 0.8264, prior_entropy: 0.9353, recall: 0.8264, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.862, scimark_benchmark: 1330.0803, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8459, kappa: 0.6602, kb_relative_information_score: 463.9789, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.846, predictive_accuracy: 0.8458, prior_entropy: 0.9353, recall: 0.8458, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8247, scimark_benchmark: 1384.4418, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8821, kappa: 0.7403, kb_relative_information_score: 523.2892, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8823, predictive_accuracy: 0.8819, prior_entropy: 0.9353, recall: 0.8819, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.7217, scimark_benchmark: 1351.788, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5156, kb_relative_information_score: -3.6285, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0019, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.8279, kappa: 0.6244, kb_relative_information_score: 423.2136, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8309, predictive_accuracy: 0.8264, prior_entropy: 0.9353, recall: 0.8264, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8599, scimark_benchmark: 1345.5871, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 4.7097, build_memory: 2722988669.3889, f_measure: 0.9442, kappa: 0.8765, kb_relative_information_score: 523.8965, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9443, predictive_accuracy: 0.9444, prior_entropy: 0.9353, recall: 0.9444, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4523, scimark_benchmark: 931.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, build_cpu_time: 2.1011, build_memory: 108677104, f_measure: 0.9469, kappa: 0.8823, kb_relative_information_score: 520.2257, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9353, recall: 0.9472, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4608, scimark_benchmark: 923.0706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, build_cpu_time: 2.0734, build_memory: 543632089.7, f_measure: 0.9469, kappa: 0.8823, kb_relative_information_score: 520.2257, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9353, recall: 0.9472, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4608, scimark_benchmark: 923.2328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, build_cpu_time: 2.07, build_memory: 161038725.3222, f_measure: 0.9469, kappa: 0.8823, kb_relative_information_score: 520.2257, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9353, recall: 0.9472, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4608, scimark_benchmark: 945.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, build_cpu_time: 1.969, build_memory: 79471571.8444, f_measure: 0.9469, kappa: 0.8823, kb_relative_information_score: 520.2257, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9353, recall: 0.9472, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4608, scimark_benchmark: 939.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, build_cpu_time: 1.9734, build_memory: 876444440.1111, f_measure: 0.9469, kappa: 0.8823, kb_relative_information_score: 520.2257, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9353, recall: 0.9472, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4608, scimark_benchmark: 938.8151,

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