Task
Supervised Classification on analcatdata_dmft

Supervised Classification on analcatdata_dmft

Task 4265 Supervised Classification analcatdata_dmft 183 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.2054, kappa: 0.0441, kb_relative_information_score: 829.3528, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2073, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0091, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.1859, kappa: 0.0206, kb_relative_information_score: 829.4208, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1865, predictive_accuracy: 0.1864, prior_entropy: 2.5803, recall: 0.1864, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.387, root_relative_squared_error: 1.039, scimark_benchmark: 1312.0581, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.205, kappa: 0.0479, kb_relative_information_score: 1008.3969, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2061, predictive_accuracy: 0.2087, prior_entropy: 2.5803, recall: 0.2087, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.379, scimark_benchmark: 1301.1661, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.1801, kappa: 0.0251, kb_relative_information_score: 326.2812, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1908, predictive_accuracy: 0.1969, prior_entropy: 2.5803, recall: 0.1969, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9958, scimark_benchmark: 1351.6526, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.1768, kappa: 0.0202, kb_relative_information_score: 327.7018, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1871, predictive_accuracy: 0.1926, prior_entropy: 2.5803, recall: 0.1926, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.996, scimark_benchmark: 1311.9814, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.1739, kappa: 0.0138, kb_relative_information_score: 338.0056, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1844, predictive_accuracy: 0.187, prior_entropy: 2.5803, recall: 0.187, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.9964, scimark_benchmark: 1347.5461, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.2076, kappa: 0.0513, kb_relative_information_score: 759.6191, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2087, predictive_accuracy: 0.211, prior_entropy: 2.5803, recall: 0.211, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0004, scimark_benchmark: 1318.8785, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.183, kappa: 0.0172, kb_relative_information_score: 817.5427, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1838, predictive_accuracy: 0.1839, prior_entropy: 2.5803, recall: 0.1839, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.032, scimark_benchmark: 1327.2954, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.1306, kappa: 0.0339, kb_relative_information_score: 587.2229, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1293, predictive_accuracy: 0.2024, prior_entropy: 2.5803, recall: 0.2024, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.2038, scimark_benchmark: 1314.0383, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, f_measure: 0.1786, kappa: 0.0229, kb_relative_information_score: 326.5388, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1885, predictive_accuracy: 0.1949, prior_entropy: 2.5803, recall: 0.1949, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9959, scimark_benchmark: 1352.2099, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.2097, kappa: 0.0545, kb_relative_information_score: 729.0018, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2103, predictive_accuracy: 0.2139, prior_entropy: 2.5803, recall: 0.2139, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.372, root_relative_squared_error: 0.9988, scimark_benchmark: 1314.0383, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.2001, kappa: 0.0473, kb_relative_information_score: 737.7743, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1993, predictive_accuracy: 0.2067, prior_entropy: 2.5803, recall: 0.2067, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3733, root_relative_squared_error: 1.0022, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2096, kappa: 0.0478, kb_relative_information_score: 656.2592, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2126, predictive_accuracy: 0.2095, prior_entropy: 2.5803, recall: 0.2095, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3763, root_relative_squared_error: 1.0105, scimark_benchmark: 854.5188, usercpu_time_millis: 310, usercpu_time_millis_testing: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.1518, kappa: 0.0212, kb_relative_information_score: 342.5559, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1459, predictive_accuracy: 0.1812, prior_entropy: 2.5803, recall: 0.1812, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9987, scimark_benchmark: 1281.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.1767, kappa: 0.0193, kb_relative_information_score: 349.1909, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1862, predictive_accuracy: 0.1913, prior_entropy: 2.5803, recall: 0.1913, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.9964, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.208, kappa: 0.0516, kb_relative_information_score: 767.9212, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.209, predictive_accuracy: 0.2113, prior_entropy: 2.5803, recall: 0.2113, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.0009, scimark_benchmark: 961.21, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.1699, kappa: 0.0279, kb_relative_information_score: 462.7133, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1838, predictive_accuracy: 0.1972, prior_entropy: 2.5803, recall: 0.1972, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9974, scimark_benchmark: 1346.4887, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5649, f_measure: 0.1903, kappa: 0.0481, kb_relative_information_score: 488.3059, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2034, predictive_accuracy: 0.2129, prior_entropy: 2.5803, recall: 0.2129, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9966, scimark_benchmark: 1337.6765, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, f_measure: 0.1797, kappa: 0.0127, kb_relative_information_score: 760.0414, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1826, predictive_accuracy: 0.1801, prior_entropy: 2.5803, recall: 0.1801, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.4038, scimark_benchmark: 1346.3935, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.0633, kb_relative_information_score: 5.9264, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.0378, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3724, root_relative_squared_error: 1, scimark_benchmark: 765.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.1969, kappa: 0.0379, kb_relative_information_score: 929.3017, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1972, predictive_accuracy: 0.1981, prior_entropy: 2.5803, recall: 0.1981, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.517, root_relative_squared_error: 1.3882, scimark_benchmark: 1313.6093, usercpu_time_millis: 2870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.1225, kappa: 0.0045, kb_relative_information_score: 118.5854, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1821, predictive_accuracy: 0.1903, prior_entropy: 2.5803, recall: 0.1903, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.0003, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, f_measure: 0.1847, kappa: 0.0263, kb_relative_information_score: 419.1865, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1896, predictive_accuracy: 0.19, prior_entropy: 2.5803, recall: 0.19, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.0019, scimark_benchmark: 1337.3264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.1979, kappa: 0.0347, kb_relative_information_score: 814.4381, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2013, predictive_accuracy: 0.1971, prior_entropy: 2.5803, recall: 0.1971, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.399, root_relative_squared_error: 1.0713, scimark_benchmark: 1371.9645, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.2096, kappa: 0.0554, kb_relative_information_score: 666.1517, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2095, predictive_accuracy: 0.2151, prior_entropy: 2.5803, recall: 0.2151, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.9966, scimark_benchmark: 1311.1837, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5418, f_measure: 0.1809, kappa: 0.0147, kb_relative_information_score: 818.5467, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1816, predictive_accuracy: 0.1817, prior_entropy: 2.5803, recall: 0.1817, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3844, root_relative_squared_error: 1.0322, scimark_benchmark: 1318.0032, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.174, kappa: 0.0435, kb_relative_information_score: 1011.114, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1789, predictive_accuracy: 0.2117, prior_entropy: 2.5803, recall: 0.2117, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.3764, scimark_benchmark: 1314.7093, usercpu_time_millis: 220, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.1953, kappa: 0.0308, kb_relative_information_score: 934.4577, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1973, predictive_accuracy: 0.1941, prior_entropy: 2.5803, recall: 0.1941, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.0917, scimark_benchmark: 1281.7531, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.1997, kappa: 0.0361, kb_relative_information_score: 992.6707, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2013, predictive_accuracy: 0.1989, prior_entropy: 2.5803, recall: 0.1989, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4022, root_relative_squared_error: 1.08, scimark_benchmark: 1332.0465, usercpu_time_millis: 3490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.1953, kappa: 0.0308, kb_relative_information_score: 934.4577, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1973, predictive_accuracy: 0.1941, prior_entropy: 2.5803, recall: 0.1941, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.0917, scimark_benchmark: 1306.8098, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.2026, kappa: 0.0402, kb_relative_information_score: 893.5248, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2058, predictive_accuracy: 0.202, prior_entropy: 2.5803, recall: 0.202, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.0744, scimark_benchmark: 1319.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.2002, kappa: 0.0473, kb_relative_information_score: 722.1906, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1993, predictive_accuracy: 0.2068, prior_entropy: 2.5803, recall: 0.2068, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0015, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.2002, kappa: 0.0473, kb_relative_information_score: 722.1906, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1993, predictive_accuracy: 0.2068, prior_entropy: 2.5803, recall: 0.2068, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0015, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.208, kappa: 0.0516, kb_relative_information_score: 768.9537, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.209, predictive_accuracy: 0.2113, prior_entropy: 2.5803, recall: 0.2113, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.0009, scimark_benchmark: 1340.1351, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.1721, kappa: 0.0235, kb_relative_information_score: 849.0752, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1969, predictive_accuracy: 0.1922, prior_entropy: 2.5803, recall: 0.1922, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.3933, scimark_benchmark: 1367.8403, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.0753, kappa: 0.0015, kb_relative_information_score: 85.9093, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1464, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.0052, scimark_benchmark: 1464.9318, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.1996, kappa: 0.0387, kb_relative_information_score: 601.9948, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2025, predictive_accuracy: 0.203, prior_entropy: 2.5803, recall: 0.203, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.0053, scimark_benchmark: 1334.8495, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, build_cpu_time: 3.977, build_memory: 2140380443.7691, f_measure: 0.1825, kappa: 0.0334, kb_relative_information_score: 306.2166, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2146, predictive_accuracy: 0.2073, prior_entropy: 2.5803, recall: 0.2073, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9976, scimark_benchmark: 931.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.533, build_cpu_time: 0.2461, build_memory: 335247959.9338, f_measure: 0.1832, kappa: 0.0168, kb_relative_information_score: 928.2167, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1842, predictive_accuracy: 0.1832, prior_entropy: 2.5803, recall: 0.1832, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3959, root_relative_squared_error: 1.063, scimark_benchmark: 947.1692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, build_cpu_time: 0.114, build_memory: 683731248.3242, f_measure: 0.184, kappa: 0.0181, kb_relative_information_score: 929.031, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1847, predictive_accuracy: 0.1839, prior_entropy: 2.5803, recall: 0.1839, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3961, root_relative_squared_error: 1.0635, scimark_benchmark: 921.1427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, build_cpu_time: 0.1112, build_memory: 425855962.5696, f_measure: 0.184, kappa: 0.0181, kb_relative_information_score: 929.031, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1847, predictive_accuracy: 0.1839, prior_entropy: 2.5803, recall: 0.1839, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3961, root_relative_squared_error: 1.0635, scimark_benchmark: 944.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, build_cpu_time: 0.0659, build_memory: 2450341659.1297, f_measure: 0.1885, kappa: 0.0234, kb_relative_information_score: 926.1544, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1893, predictive_accuracy: 0.1882, prior_entropy: 2.5803, recall: 0.1882, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.0649, scimark_benchmark: 938.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5311, f_measure: 0.1911, kappa: 0.0266, kb_relative_information_score: 923.9313, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1919, predictive_accuracy: 0.1908, prior_entropy: 2.5803, recall: 0.1908, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3979, root_relative_squared_error: 1.0683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5311, build_cpu_time: 0.0303, build_memory: 1363500396.1616, f_measure: 0.1911, kappa: 0.0266, kb_relative_information_score: 923.9313, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.1919, predictive_accuracy: 0.1908, prior_entropy: 2.5803, recall: 0.1908, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3979, root_relative_squared_error: 1.0683, scimark_benchmark: 940.1416,

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