Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 1767 Supervised Classification kr-vs-kp 356 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 57.2983, build_memory: 448730643.2, f_measure: 0.9531, kappa: 0.9061, kb_relative_information_score: 14500.047, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9531, predictive_accuracy: 0.9531, prior_entropy: 0.9986, recall: 0.9531, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.383, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 2.6657, build_memory: 715203718.4, f_measure: 0.986, kappa: 0.972, kb_relative_information_score: 15128.4399, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9861, predictive_accuracy: 0.986, prior_entropy: 0.9986, recall: 0.986, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2144, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 1.7034, build_memory: 286881711.2, f_measure: 0.986, kappa: 0.972, kb_relative_information_score: 15128.4399, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9861, predictive_accuracy: 0.986, prior_entropy: 0.9986, recall: 0.986, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2144, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 1.6784, build_memory: 1686260488.8, f_measure: 0.986, kappa: 0.972, kb_relative_information_score: 15128.4399, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9861, predictive_accuracy: 0.986, prior_entropy: 0.9986, recall: 0.986, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2144, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 1.3782, build_memory: 613892774.4, f_measure: 0.9861, kappa: 0.9722, kb_relative_information_score: 15127.9952, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9986, recall: 0.9861, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.214, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 0.8653, build_memory: 701832039.2, f_measure: 0.9861, kappa: 0.9722, kb_relative_information_score: 15127.9952, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9986, recall: 0.9861, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.214, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.4972, build_memory: 922097051.2, f_measure: 0.9864, kappa: 0.9728, kb_relative_information_score: 15139.8462, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 0.9986, recall: 0.9864, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2139, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.2726, build_memory: 1496200492.8, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 15135.7133, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2152, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 0.0467, build_memory: 947003168.8, f_measure: 0.9778, kappa: 0.9554, kb_relative_information_score: 13877.6277, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 0.9986, recall: 0.9778, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3069, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.2925, build_memory: 1023748310.4, f_measure: 0.9848, kappa: 0.9695, kb_relative_information_score: 13931.6227, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.9986, recall: 0.9848, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.2721, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.2133, build_memory: 1188227388.8, f_measure: 0.9848, kappa: 0.9695, kb_relative_information_score: 13931.6227, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.9986, recall: 0.9848, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.2721, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.447, build_memory: 2492727826.4, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13954.5295, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.267, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 20.1869, build_memory: 1284700500, f_measure: 0.9849, kappa: 0.9698, kb_relative_information_score: 13578.5186, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.985, predictive_accuracy: 0.9849, prior_entropy: 0.9986, recall: 0.9849, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.2879, scimark_benchmark: 907.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 17.1088, build_memory: 1561144978.4, f_measure: 0.9849, kappa: 0.9698, kb_relative_information_score: 13578.5186, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.985, predictive_accuracy: 0.9849, prior_entropy: 0.9986, recall: 0.9849, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.2879, scimark_benchmark: 939.5765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 17.8546, build_memory: 1663855176.8, f_measure: 0.9849, kappa: 0.9698, kb_relative_information_score: 13578.5186, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.985, predictive_accuracy: 0.9849, prior_entropy: 0.9986, recall: 0.9849, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.2879, scimark_benchmark: 904.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 4.0989, build_memory: 1740533378.4, f_measure: 0.985, kappa: 0.9699, kb_relative_information_score: 13571.2632, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.9986, recall: 0.985, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.2889, scimark_benchmark: 896.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 2.1556, build_memory: 1379216566.4, f_measure: 0.9843, kappa: 0.9685, kb_relative_information_score: 13553.5376, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 0.9986, recall: 0.9843, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.291, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, build_cpu_time: 0.0344, build_memory: 527299138.4, f_measure: 0.7011, kappa: 0.4092, kb_relative_information_score: 5867.3973, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.7229, predictive_accuracy: 0.7088, prior_entropy: 0.9986, recall: 0.7088, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.465, root_relative_squared_error: 0.931, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, build_cpu_time: 0.0219, build_memory: 427948491.2, f_measure: 0.7011, kappa: 0.4092, kb_relative_information_score: 5867.3973, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.7229, predictive_accuracy: 0.7088, prior_entropy: 0.9986, recall: 0.7088, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.465, root_relative_squared_error: 0.931, scimark_benchmark: 785.9104,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, build_cpu_time: 0.0584, build_memory: 1642386949.6, f_measure: 0.6808, kappa: 0.369, kb_relative_information_score: 5838.9259, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.7009, predictive_accuracy: 0.689, prior_entropy: 0.9986, recall: 0.689, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9165, scimark_benchmark: 947.2295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 2.3185, build_memory: 659593652, f_measure: 0.9867, kappa: 0.9734, kb_relative_information_score: 14288.8794, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.9986, recall: 0.9867, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.2604, scimark_benchmark: 939.4327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 1857.0258, build_memory: 1617089779.2, f_measure: 0.9898, kappa: 0.9796, kb_relative_information_score: 15368.2875, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9986, recall: 0.9898, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.1904, scimark_benchmark: 876.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 2735.413, build_memory: 1062850861.6, f_measure: 0.9899, kappa: 0.9797, kb_relative_information_score: 15369.9866, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 0.9986, recall: 0.9899, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.1899, scimark_benchmark: 945.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, build_cpu_time: 0.0554, build_memory: 932196449.6, f_measure: 0.8138, kappa: 0.6358, kb_relative_information_score: 5365.1296, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8426, predictive_accuracy: 0.8161, prior_entropy: 0.9986, recall: 0.8161, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7843, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, build_cpu_time: 0.0224, build_memory: 568625344, f_measure: 0.813, kappa: 0.6343, kb_relative_information_score: 5384.8437, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.842, predictive_accuracy: 0.8153, prior_entropy: 0.9986, recall: 0.8153, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7832, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.0193, build_memory: 1653535702.4, f_measure: 0.8105, kappa: 0.6299, kb_relative_information_score: 5368.4068, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.841, predictive_accuracy: 0.813, prior_entropy: 0.9986, recall: 0.813, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7841, scimark_benchmark: 1225.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, build_cpu_time: 0.0077, build_memory: 1469488830.4, f_measure: 0.8183, kappa: 0.6439, kb_relative_information_score: 5420.5099, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8446, predictive_accuracy: 0.8203, prior_entropy: 0.9986, recall: 0.8203, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7812, scimark_benchmark: 941.0301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 1.766, build_memory: 1125770644.8, f_measure: 0.9797, kappa: 0.9594, kb_relative_information_score: 15313.6549, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.9986, recall: 0.9797, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.2677, scimark_benchmark: 944.2618,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 0.8385, build_memory: 1009839236.8, f_measure: 0.9637, kappa: 0.9272, kb_relative_information_score: 14894.1321, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9986, recall: 0.9636, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3367, scimark_benchmark: 942.6202,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 0.4201, build_memory: 434302810.4, f_measure: 0.9637, kappa: 0.9272, kb_relative_information_score: 14894.1321, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9986, recall: 0.9636, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3367, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 15.6969, build_memory: 191847070.4, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 15231.563, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.9986, recall: 0.9884, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.098, root_relative_squared_error: 0.1962, scimark_benchmark: 946.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 1.4289, build_memory: 2186851474.4, f_measure: 0.9905, kappa: 0.9809, kb_relative_information_score: 15461.2626, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9986, recall: 0.9905, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.1768, scimark_benchmark: 946.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.7554, build_memory: 1321590896.8, f_measure: 0.9907, kappa: 0.9814, kb_relative_information_score: 15461.6569, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.9986, recall: 0.9907, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.1766, scimark_benchmark: 923.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.4315, build_memory: 105908113.6, f_measure: 0.9909, kappa: 0.9817, kb_relative_information_score: 15461.7486, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.9986, recall: 0.9909, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.1767, scimark_benchmark: 904.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 0.2276, build_memory: 2057823550.4, f_measure: 0.9901, kappa: 0.9801, kb_relative_information_score: 15450.3467, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.9986, recall: 0.9901, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.1799, scimark_benchmark: 940.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.0174, build_memory: 47949952.8, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 931.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.0345, build_memory: 33843716.8, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 944.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9707, kappa: 0.9413, kb_relative_information_score: 14687.6695, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.9986, recall: 0.9707, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3125, scimark_benchmark: 1084.7303,

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