Task
Supervised Classification on tecator

Supervised Classification on tecator

Task 4421 Supervised Classification tecator 208 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, build_cpu_time: 3.3287, build_memory: 558396487.44, f_measure: 0.9367, kappa: 0.8704, kb_relative_information_score: 2082.4664, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.984, recall: 0.9367, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5016, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 1.0155, build_memory: 90736358.88, f_measure: 0.9321, kappa: 0.8612, kb_relative_information_score: 2059.2841, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.984, recall: 0.9321, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5079, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, build_cpu_time: 1.7713, build_memory: 67209921.92, f_measure: 0.9387, kappa: 0.8745, kb_relative_information_score: 2091.5185, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9387, predictive_accuracy: 0.9388, prior_entropy: 0.984, recall: 0.9388, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.492, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, build_cpu_time: 1.7591, build_memory: 171841509.52, f_measure: 0.9387, kappa: 0.8745, kb_relative_information_score: 2091.5185, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9387, predictive_accuracy: 0.9388, prior_entropy: 0.984, recall: 0.9388, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.492, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, build_cpu_time: 1.8963, build_memory: 72868123.36, f_measure: 0.9387, kappa: 0.8745, kb_relative_information_score: 2091.5185, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9387, predictive_accuracy: 0.9388, prior_entropy: 0.984, recall: 0.9388, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.492, scimark_benchmark: 946.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 9.0764, build_memory: 825443571.92, f_measure: 0.94, kappa: 0.8772, kb_relative_information_score: 2100.1271, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.984, recall: 0.94, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4885, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, build_cpu_time: 17.7761, build_memory: 213063510.72, f_measure: 0.9387, kappa: 0.8746, kb_relative_information_score: 2091.8714, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9387, predictive_accuracy: 0.9388, prior_entropy: 0.984, recall: 0.9388, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.4971, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, build_cpu_time: 0.5457, build_memory: 1835477437.68, f_measure: 0.9133, kappa: 0.8227, kb_relative_information_score: 1829.6623, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9134, predictive_accuracy: 0.9133, prior_entropy: 0.984, recall: 0.9133, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4871, scimark_benchmark: 940.4228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, build_cpu_time: 0.22, build_memory: 188954019.76, f_measure: 0.9141, kappa: 0.8242, kb_relative_information_score: 1827.1885, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9141, predictive_accuracy: 0.9142, prior_entropy: 0.984, recall: 0.9142, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4933, scimark_benchmark: 945.6697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 1.7227, build_memory: 549049720.08, f_measure: 0.9166, kappa: 0.8293, kb_relative_information_score: 1828.8983, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9166, predictive_accuracy: 0.9167, prior_entropy: 0.984, recall: 0.9167, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4826, scimark_benchmark: 941.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 1.768, build_memory: 1222482210.08, f_measure: 0.9166, kappa: 0.8293, kb_relative_information_score: 1828.8983, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9166, predictive_accuracy: 0.9167, prior_entropy: 0.984, recall: 0.9167, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4826, scimark_benchmark: 948.1421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, build_cpu_time: 0.8863, build_memory: 800411779.68, f_measure: 0.915, kappa: 0.8261, kb_relative_information_score: 1831.3743, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.915, predictive_accuracy: 0.915, prior_entropy: 0.984, recall: 0.915, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.483, scimark_benchmark: 937.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, build_cpu_time: 2.9953, build_memory: 3934480394.8, f_measure: 0.9137, kappa: 0.8234, kb_relative_information_score: 1788.0346, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9137, predictive_accuracy: 0.9138, prior_entropy: 0.984, recall: 0.9138, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.4943, scimark_benchmark: 940.0988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 5.9304, build_memory: 486262953.04, f_measure: 0.9129, kappa: 0.8216, kb_relative_information_score: 1787.407, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9128, predictive_accuracy: 0.9129, prior_entropy: 0.984, recall: 0.9129, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.4934, scimark_benchmark: 939.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.903, kappa: 0.8017, kb_relative_information_score: 1899.2905, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9031, predictive_accuracy: 0.9029, prior_entropy: 0.984, recall: 0.9029, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5611, scimark_benchmark: 1322.4968, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9059, kappa: 0.8077, kb_relative_information_score: 1725.1106, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9061, predictive_accuracy: 0.9058, prior_entropy: 0.984, recall: 0.9058, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.256, root_relative_squared_error: 0.518, scimark_benchmark: 1371.9645, usercpu_time_millis: 1120, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9291, kappa: 0.8549, kb_relative_information_score: 2040.2253, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9291, predictive_accuracy: 0.9292, prior_entropy: 0.984, recall: 0.9292, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5069, scimark_benchmark: 1337.5749, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 938.0414, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9164, kappa: 0.8292, kb_relative_information_score: 1783.3426, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9167, predictive_accuracy: 0.9163, prior_entropy: 0.984, recall: 0.9163, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5093, scimark_benchmark: 1322.7257, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8895, kappa: 0.7738, kb_relative_information_score: 1787.5652, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8895, predictive_accuracy: 0.8896, prior_entropy: 0.984, recall: 0.8896, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6289, scimark_benchmark: 1344.4042, usercpu_time_millis: 5260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9037, kappa: 0.8028, kb_relative_information_score: 1506.9641, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9037, predictive_accuracy: 0.9038, prior_entropy: 0.984, recall: 0.9038, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5549, scimark_benchmark: 1304.6687, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9291, kappa: 0.8547, kb_relative_information_score: 2043.6162, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9291, predictive_accuracy: 0.9292, prior_entropy: 0.984, recall: 0.9292, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5135, scimark_benchmark: 1304.6687, usercpu_time_millis: 1490, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8891, kappa: 0.7739, kb_relative_information_score: 1847.8904, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8902, predictive_accuracy: 0.8888, prior_entropy: 0.984, recall: 0.8888, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6747, scimark_benchmark: 1341.2341, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.4198, kb_relative_information_score: -0.7192, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.3306, predictive_accuracy: 0.575, prior_entropy: 0.984, recall: 0.575, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0001, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.932, kappa: 0.8608, kb_relative_information_score: 2047.9946, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.932, predictive_accuracy: 0.9321, prior_entropy: 0.984, recall: 0.9321, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4622, scimark_benchmark: 854.5188, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9337, kappa: 0.8642, kb_relative_information_score: 2051.6497, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9337, predictive_accuracy: 0.9338, prior_entropy: 0.984, recall: 0.9338, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4854, scimark_benchmark: 825.5282, usercpu_time_millis: 760, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9122, kappa: 0.8206, kb_relative_information_score: 1945.6128, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9125, predictive_accuracy: 0.9121, prior_entropy: 0.984, recall: 0.9121, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581, scimark_benchmark: 1330.0803, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8854, kappa: 0.7653, kb_relative_information_score: 1711.6409, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8853, predictive_accuracy: 0.8854, prior_entropy: 0.984, recall: 0.8854, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6402, scimark_benchmark: 1319.6463, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.4471, kappa: 0.1557, kb_relative_information_score: 57.2081, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.7763, predictive_accuracy: 0.5275, prior_entropy: 0.984, recall: 0.5275, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6874, root_relative_squared_error: 1.3905, scimark_benchmark: 1442.7264, usercpu_time_millis: 390, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8727, kappa: 0.7399, kb_relative_information_score: 1767.3407, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.873, predictive_accuracy: 0.8725, prior_entropy: 0.984, recall: 0.8725, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7223, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.9089, kappa: 0.8132, kb_relative_information_score: 1949.0939, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9092, predictive_accuracy: 0.9092, prior_entropy: 0.984, recall: 0.9092, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6097, scimark_benchmark: 1330.2678, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, build_cpu_time: 70.7289, build_memory: 3283181765.44, f_measure: 0.9595, kappa: 0.9172, kb_relative_information_score: 2029.5051, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.984, recall: 0.9596, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3825, scimark_benchmark: 942.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.955, kappa: 0.908, kb_relative_information_score: 2068.5692, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.984, recall: 0.955, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3806, scimark_benchmark: 1371.5241, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9084, kappa: 0.8128, kb_relative_information_score: 1831.6992, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9086, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5392, scimark_benchmark: 1334.3805, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 933.1165, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8961, kappa: 0.787, kb_relative_information_score: 1865.9187, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8961, predictive_accuracy: 0.8963, prior_entropy: 0.984, recall: 0.8963, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.5876, scimark_benchmark: 1064.8317, usercpu_time_millis: 4090, usercpu_time_millis_testing: 3100, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6359, kappa: 0.2896, kb_relative_information_score: 596.3072, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.6672, predictive_accuracy: 0.6363, prior_entropy: 0.984, recall: 0.6363, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6011, root_relative_squared_error: 1.216, scimark_benchmark: 1144.961, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9037, kappa: 0.8028, kb_relative_information_score: 1506.9641, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9037, predictive_accuracy: 0.9038, prior_entropy: 0.984, recall: 0.9038, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5549, scimark_benchmark: 1345.7204, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1354.3488, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9454, kappa: 0.8881, kb_relative_information_score: 2094.5401, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9454, predictive_accuracy: 0.9454, prior_entropy: 0.984, recall: 0.9454, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4334, scimark_benchmark: 1331.5882, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9346, kappa: 0.8657, kb_relative_information_score: 1907.5654, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 0.984, recall: 0.935, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4274, scimark_benchmark: 938.202, usercpu_time_millis: 1720, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9404, kappa: 0.878, kb_relative_information_score: 2103.9972, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9404, predictive_accuracy: 0.9404, prior_entropy: 0.984, recall: 0.9404, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.4938, scimark_benchmark: 935.5075, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.955, kappa: 0.908, kb_relative_information_score: 2068.7109, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.984, recall: 0.955, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3778, scimark_benchmark: 1386.5717, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8718, kappa: 0.738, kb_relative_information_score: 1631.2525, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.872, predictive_accuracy: 0.8717, prior_entropy: 0.984, recall: 0.8717, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6543, scimark_benchmark: 1319.9043, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9304, kappa: 0.8575, kb_relative_information_score: 2037.5561, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 0.984, recall: 0.9304, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4811, scimark_benchmark: 1327.5791, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8947, kappa: 0.7847, kb_relative_information_score: 1817.5188, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8948, predictive_accuracy: 0.8946, prior_entropy: 0.984, recall: 0.8946, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6129, scimark_benchmark: 1346.4887, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8238, kappa: 0.6398, kb_relative_information_score: 1525.6915, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.824, predictive_accuracy: 0.8238, prior_entropy: 0.984, recall: 0.8238, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8493, scimark_benchmark: 1281.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.9037, kappa: 0.8024, kb_relative_information_score: 1924.3094, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9045, predictive_accuracy: 0.9042, prior_entropy: 0.984, recall: 0.9042, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6262, scimark_benchmark: 1328.8457, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8823, kappa: 0.7633, kb_relative_information_score: 1560.7555, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8927, predictive_accuracy: 0.8817, prior_entropy: 0.984, recall: 0.8817, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6328, scimark_benchmark: 833.3193, usercpu_time_millis: 2200, usercpu_time_millis_testing: 2200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9066, kappa: 0.8086, kb_relative_information_score: 1587.2102, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9065, predictive_accuracy: 0.9067, prior_entropy: 0.984, recall: 0.9067, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.5419, scimark_benchmark: 1308.3432, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9312, kappa: 0.8593, kb_relative_information_score: 1990.9704, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9312, predictive_accuracy: 0.9313, prior_entropy: 0.984, recall: 0.9313, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4648, scimark_benchmark: 943.1756, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.723, kappa: 0.4454, kb_relative_information_score: 1147.7275, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.7979, predictive_accuracy: 0.7475, prior_entropy: 0.984, recall: 0.7475, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0165, scimark_benchmark: 1331.6907, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9309, kappa: 0.8582, kb_relative_information_score: 2058.5589, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9319, predictive_accuracy: 0.9313, prior_entropy: 0.984, recall: 0.9313, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5304, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9385, kappa: 0.8744, kb_relative_information_score: 2093.6704, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.939, predictive_accuracy: 0.9383, prior_entropy: 0.984, recall: 0.9383, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.5023, scimark_benchmark: 1404.1865, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9164, kappa: 0.8292, kb_relative_information_score: 1783.3426, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9167, predictive_accuracy: 0.9163, prior_entropy: 0.984, recall: 0.9163, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5093, scimark_benchmark: 1337.5749, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.888, kappa: 0.7708, kb_relative_information_score: 1776.1894, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.888, predictive_accuracy: 0.8879, prior_entropy: 0.984, recall: 0.8879, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6356, scimark_benchmark: 1339.0817, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9037, kappa: 0.8024, kb_relative_information_score: 1911.9274, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9045, predictive_accuracy: 0.9042, prior_entropy: 0.984, recall: 0.9042, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6235, scimark_benchmark: 1357.5655, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6612, kappa: 0.3045, kb_relative_information_score: 731.0387, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.6606, predictive_accuracy: 0.6629, prior_entropy: 0.984, recall: 0.6629, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5765, root_relative_squared_error: 1.1662, scimark_benchmark: 1330.7934, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.9048, kappa: 0.8056, kb_relative_information_score: 1900.2577, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9053, predictive_accuracy: 0.9046, prior_entropy: 0.984, recall: 0.9046, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6151, scimark_benchmark: 1334.3805, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 933.1165, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1349.1517, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9164, kappa: 0.8292, kb_relative_information_score: 1783.3426, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9167, predictive_accuracy: 0.9163, prior_entropy: 0.984, recall: 0.9163, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5093, scimark_benchmark: 1339.6197, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6359, kappa: 0.2896, kb_relative_information_score: 596.3072, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.6672, predictive_accuracy: 0.6363, prior_entropy: 0.984, recall: 0.6363, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6011, root_relative_squared_error: 1.216, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.928, kappa: 0.8523, kb_relative_information_score: 2042.273, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9288, predictive_accuracy: 0.9283, prior_entropy: 0.984, recall: 0.9283, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5393, scimark_benchmark: 1350.9691, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.9395, kappa: 0.876, kb_relative_information_score: 2099.8665, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.984, recall: 0.9396, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.4972, scimark_benchmark: 1301.9176, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.6609, kappa: 0.3038, kb_relative_information_score: 730.6573, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.6602, predictive_accuracy: 0.6625, prior_entropy: 0.984, recall: 0.6625, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5766, root_relative_squared_error: 1.1664, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.4198, kb_relative_information_score: -0.7192, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.3306, predictive_accuracy: 0.575, prior_entropy: 0.984, recall: 0.575, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0001, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8425, kappa: 0.6853, kb_relative_information_score: 221.0715, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8588, predictive_accuracy: 0.8417, prior_entropy: 0.984, recall: 0.8417, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9573, scimark_benchmark: 944.4621, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8824, kappa: 0.7605, kb_relative_information_score: 1535.9462, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8838, predictive_accuracy: 0.8821, prior_entropy: 0.984, recall: 0.8821, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5973, scimark_benchmark: 1347.3845, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8519, kappa: 0.6988, kb_relative_information_score: 1395.5771, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8545, predictive_accuracy: 0.8513, prior_entropy: 0.984, recall: 0.8513, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7046, scimark_benchmark: 923.6051, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.888, kappa: 0.7705, kb_relative_information_score: 1805.7018, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8882, predictive_accuracy: 0.8883, prior_entropy: 0.984, recall: 0.8883, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6508, scimark_benchmark: 1261.7298, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.888, kappa: 0.7705, kb_relative_information_score: 1805.7018, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8882, predictive_accuracy: 0.8883, prior_entropy: 0.984, recall: 0.8883, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6508, scimark_benchmark: 1333.5799, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9346, kappa: 0.8657, kb_relative_information_score: 1907.5654, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 0.984, recall: 0.935, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4274, scimark_benchmark: 938.4601, usercpu_time_millis: 2340, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9037, kappa: 0.8028, kb_relative_information_score: 1506.9641, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9037, predictive_accuracy: 0.9038, prior_entropy: 0.984, recall: 0.9038, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5549, scimark_benchmark: 936.9595, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9306, kappa: 0.8577, kb_relative_information_score: 1937.1363, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.931, predictive_accuracy: 0.9308, prior_entropy: 0.984, recall: 0.9308, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4347, scimark_benchmark: 933.3455, usercpu_time_millis: 7680, usercpu_time_millis_testing: 3410, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9289, kappa: 0.8543, kb_relative_information_score: 1930.6057, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9294, predictive_accuracy: 0.9292, prior_entropy: 0.984, recall: 0.9292, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4395, scimark_benchmark: 901.4991, usercpu_time_millis: 15980, usercpu_time_millis_testing: 7000, usercpu_time_millis_training: 8980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9294, kappa: 0.8552, kb_relative_information_score: 1936.6824, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9297, predictive_accuracy: 0.9296, prior_entropy: 0.984, recall: 0.9296, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4398, scimark_benchmark: 905.3417, usercpu_time_millis: 3880, usercpu_time_millis_testing: 1740, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 945.6228, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs