OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8031, kappa: 0.6028, kb_relative_information_score: 1478.8347, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7679, scimark_benchmark: 1808.8479, usercpu_time_millis: 715.298, usercpu_time_millis_testing: 3.131, usercpu_time_millis_training: 712.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7867, kappa: 0.5697, kb_relative_information_score: 1495.8982, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7871, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.784, scimark_benchmark: 1733.299, usercpu_time_millis: 878.104, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 877.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7973, kappa: 0.5912, kb_relative_information_score: 1405.2389, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7978, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7804, scimark_benchmark: 2017.7887, usercpu_time_millis: 908.314, usercpu_time_millis_testing: 3.15, usercpu_time_millis_training: 905.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8019, kappa: 0.6006, kb_relative_information_score: 1771.896, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7528, scimark_benchmark: 1808.525, usercpu_time_millis: 2688.569, usercpu_time_millis_testing: 2.261, usercpu_time_millis_training: 2686.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7811, kappa: 0.5584, kb_relative_information_score: 1479.6563, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7896, scimark_benchmark: 1849.408, usercpu_time_millis: 3402.099, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 3400.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.803, kappa: 0.6027, kb_relative_information_score: 1581.8484, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.76, scimark_benchmark: 2019.3731, usercpu_time_millis: 3231.338, usercpu_time_millis_testing: 3.745, usercpu_time_millis_training: 3227.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7369, kappa: 0.4708, kb_relative_information_score: 1141.599, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1963.743, usercpu_time_millis: 760.451, usercpu_time_millis_testing: 1.721, usercpu_time_millis_training: 758.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8097, kappa: 0.6164, kb_relative_information_score: 1763.795, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7479, scimark_benchmark: 1839.7911, usercpu_time_millis: 804.854, usercpu_time_millis_testing: 1.589, usercpu_time_millis_training: 803.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7783, kappa: 0.5527, kb_relative_information_score: 1279.7589, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7788, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.803, scimark_benchmark: 1840.2451, usercpu_time_millis: 848.307, usercpu_time_millis_testing: 3.612, usercpu_time_millis_training: 844.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1609.5121, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7583, scimark_benchmark: 1836.7415, usercpu_time_millis: 1480.323, usercpu_time_millis_testing: 1.803, usercpu_time_millis_training: 1478.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8059, kappa: 0.6086, kb_relative_information_score: 1741.1465, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7538, scimark_benchmark: 1839.7911, usercpu_time_millis: 2925.251, usercpu_time_millis_testing: 1.685, usercpu_time_millis_training: 2923.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7598, kappa: 0.5153, kb_relative_information_score: 1073.1961, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.762, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8337, scimark_benchmark: 1838.3764, usercpu_time_millis: 441.828, usercpu_time_millis_testing: 2.045, usercpu_time_millis_training: 439.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7814, kappa: 0.5588, kb_relative_information_score: 1352.8721, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7993, scimark_benchmark: 1836.1651, usercpu_time_millis: 586.27, usercpu_time_millis_testing: 1.355, usercpu_time_millis_training: 584.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8008, kappa: 0.5983, kb_relative_information_score: 1725.4221, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7607, scimark_benchmark: 1850.5803, usercpu_time_millis: 625.695, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 624.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7647, kappa: 0.5251, kb_relative_information_score: 1232.739, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7662, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8195, scimark_benchmark: 1843.8403, usercpu_time_millis: 775.266, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 773.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7837, kappa: 0.5637, kb_relative_information_score: 1429.2891, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7841, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7904, scimark_benchmark: 1966.0105, usercpu_time_millis: 1905.077, usercpu_time_millis_testing: 1.591, usercpu_time_millis_training: 1903.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7682, kappa: 0.5323, kb_relative_information_score: 1278.907, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8148, scimark_benchmark: 1958.4807, usercpu_time_millis: 399.856, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 398.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8033, kappa: 0.6031, kb_relative_information_score: 1653.0122, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7578, scimark_benchmark: 1831.1542, usercpu_time_millis: 3807.944, usercpu_time_millis_testing: 1.75, usercpu_time_millis_training: 3806.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.791, kappa: 0.5784, kb_relative_information_score: 1482.9668, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7823, scimark_benchmark: 1856.0551, usercpu_time_millis: 3789.624, usercpu_time_millis_testing: 3.948, usercpu_time_millis_training: 3785.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1701.3949, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7521, scimark_benchmark: 1877.8658, usercpu_time_millis: 3643.429, usercpu_time_millis_testing: 3.037, usercpu_time_millis_training: 3640.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8097, kappa: 0.6163, kb_relative_information_score: 1714.9787, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.746, scimark_benchmark: 1833.1413, usercpu_time_millis: 671.343, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 668.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8096, kappa: 0.6161, kb_relative_information_score: 1712.8966, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.75, scimark_benchmark: 1853.9121, usercpu_time_millis: 4494.428, usercpu_time_millis_testing: 3.872, usercpu_time_millis_training: 4490.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1651.8321, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7544, scimark_benchmark: 1844.6071, usercpu_time_millis: 4588.608, usercpu_time_millis_testing: 3.564, usercpu_time_millis_training: 4585.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8091, kappa: 0.6152, kb_relative_information_score: 1727.8815, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7497, scimark_benchmark: 1736.5552, usercpu_time_millis: 4121.114, usercpu_time_millis_testing: 3.059, usercpu_time_millis_training: 4118.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8051, kappa: 0.6069, kb_relative_information_score: 1425.6044, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7684, scimark_benchmark: 1833.6579, usercpu_time_millis: 164.727, usercpu_time_millis_testing: 3.598, usercpu_time_millis_training: 161.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7633, kappa: 0.5224, kb_relative_information_score: 1142.435, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7654, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8254, scimark_benchmark: 1756.0624, usercpu_time_millis: 473.719, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 471.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7564, kappa: 0.5087, kb_relative_information_score: 903.1407, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8514, scimark_benchmark: 1796.3155, usercpu_time_millis: 85.473, usercpu_time_millis_testing: 1.757, usercpu_time_millis_training: 83.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7439, kappa: 0.4835, kb_relative_information_score: 719.6093, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7439, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.882, scimark_benchmark: 1792.363, usercpu_time_millis: 120.966, usercpu_time_millis_testing: 1.626, usercpu_time_millis_training: 119.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1203, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1961.4596, usercpu_time_millis: 8.977, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 7.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7586, kappa: 0.5128, kb_relative_information_score: 1198.1101, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7598, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8298, scimark_benchmark: 1839.7313, usercpu_time_millis: 11.385, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 10.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8063, kappa: 0.6094, kb_relative_information_score: 1422.514, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7716, scimark_benchmark: 1960.8751, usercpu_time_millis: 77.868, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 76.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7404, kappa: 0.4762, kb_relative_information_score: 759.7202, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7414, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8741, scimark_benchmark: 1834.2449, usercpu_time_millis: 89.26, usercpu_time_millis_testing: 1.577, usercpu_time_millis_training: 87.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.7394, kappa: 0.4756, kb_relative_information_score: 829.7197, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7398, predictive_accuracy: 0.7393, prior_entropy: 0.9948, recall: 0.7393, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8694, scimark_benchmark: 1836.1651, usercpu_time_millis: 107.095, usercpu_time_millis_testing: 1.434, usercpu_time_millis_training: 105.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1698, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.8212, usercpu_time_millis: 8.778, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 7.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7785, kappa: 0.5533, kb_relative_information_score: 1097.5319, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7787, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8164, scimark_benchmark: 1836.6789, usercpu_time_millis: 55.624, usercpu_time_millis_testing: 2.185, usercpu_time_millis_training: 53.439,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7512, kappa: 0.4979, kb_relative_information_score: 967.5295, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8474, scimark_benchmark: 1776.1591, usercpu_time_millis: 93.605, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 92.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1578.6024, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.763, scimark_benchmark: 1795.5174, usercpu_time_millis: 411.926, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 410.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7422, kappa: 0.4798, kb_relative_information_score: 816.2616, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7425, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 765.2386, usercpu_time_millis: 62.848, usercpu_time_millis_testing: 5.541, usercpu_time_millis_training: 57.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7348, kappa: 0.4648, kb_relative_information_score: 709.9905, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7362, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.876, scimark_benchmark: 1768.9462, usercpu_time_millis: 27.829, usercpu_time_millis_testing: 1.922, usercpu_time_millis_training: 25.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.6941, kappa: 0.3858, kb_relative_information_score: 407.0361, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7057, predictive_accuracy: 0.7009, prior_entropy: 0.9948, recall: 0.7009, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9271, scimark_benchmark: 1796.8477, usercpu_time_millis: 24.081, usercpu_time_millis_testing: 2.218, usercpu_time_millis_training: 21.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7237, kappa: 0.4424, kb_relative_information_score: 715.2867, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7247, predictive_accuracy: 0.7251, prior_entropy: 0.9948, recall: 0.7251, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8814, scimark_benchmark: 1750.5054, usercpu_time_millis: 5.687, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 4.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.5127, kappa: 0.139, kb_relative_information_score: 133.8835, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7005, predictive_accuracy: 0.5998, prior_entropy: 0.9948, recall: 0.5998, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9756, scimark_benchmark: 1768.1676, usercpu_time_millis: 10.659, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 9.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.6814, kappa: 0.3598, kb_relative_information_score: 424.0572, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6907, predictive_accuracy: 0.6878, prior_entropy: 0.9948, recall: 0.6878, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9254, scimark_benchmark: 1816.3273, usercpu_time_millis: 23.139, usercpu_time_millis_testing: 2.444, usercpu_time_millis_training: 20.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6349, kappa: 0.2886, kb_relative_information_score: 212.2785, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6856, predictive_accuracy: 0.6601, prior_entropy: 0.9948, recall: 0.6601, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9617, scimark_benchmark: 779.6468, usercpu_time_millis: 25.939, usercpu_time_millis_testing: 2.935, usercpu_time_millis_training: 23.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7131, kappa: 0.4212, kb_relative_information_score: 608.1532, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7152, predictive_accuracy: 0.7153, prior_entropy: 0.9948, recall: 0.7153, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8943, scimark_benchmark: 1939.4371, usercpu_time_millis: 10.043, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 8.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.5914, kappa: 0.2264, kb_relative_information_score: 172.7798, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6763, predictive_accuracy: 0.6342, prior_entropy: 0.9948, recall: 0.6342, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9687, scimark_benchmark: 1811.4009, usercpu_time_millis: 11.987, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 10.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7665, kappa: 0.5288, kb_relative_information_score: 1220.2818, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8181, scimark_benchmark: 1759.8413, usercpu_time_millis: 271.801, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 270.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7565, kappa: 0.5087, kb_relative_information_score: 1328.7569, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7595, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8143, scimark_benchmark: 769.4305, usercpu_time_millis: 409.735, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 408.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7734, kappa: 0.5429, kb_relative_information_score: 1366.2277, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7736, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1775.493, usercpu_time_millis: 761.798, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 760.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7605, kappa: 0.517, kb_relative_information_score: 1259.8016, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7605, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1795.4086, usercpu_time_millis: 960.392, usercpu_time_millis_testing: 1.53, usercpu_time_millis_training: 958.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7923, kappa: 0.581, kb_relative_information_score: 1435.2806, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7927, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7798, scimark_benchmark: 1776.1888, usercpu_time_millis: 1145.304, usercpu_time_millis_testing: 3.983, usercpu_time_millis_training: 1141.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7921, kappa: 0.5807, kb_relative_information_score: 1536.9736, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7924, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.6237, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7746, scimark_benchmark: 1739.5925, usercpu_time_millis: 2574.552, usercpu_time_millis_testing: 1.433, usercpu_time_millis_training: 2573.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8017, kappa: 0.6001, kb_relative_information_score: 1776.369, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.757, scimark_benchmark: 1737.234, usercpu_time_millis: 7826.171, usercpu_time_millis_testing: 4.672, usercpu_time_millis_training: 7821.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8106, kappa: 0.618, kb_relative_information_score: 1671.4345, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7519, scimark_benchmark: 1831.1212, usercpu_time_millis: 5888.298, usercpu_time_millis_testing: 4.134, usercpu_time_millis_training: 5884.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8066, kappa: 0.6098, kb_relative_information_score: 1677.5711, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.753, scimark_benchmark: 1522.1347, usercpu_time_millis: 3603.303, usercpu_time_millis_testing: 2.34, usercpu_time_millis_training: 3600.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.7991, kappa: 0.5948, kb_relative_information_score: 1664.6523, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7587, scimark_benchmark: 1790.4667, usercpu_time_millis: 7074.289, usercpu_time_millis_testing: 3.102, usercpu_time_millis_training: 7071.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.803, kappa: 0.6026, kb_relative_information_score: 1552.3294, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1737.8106, usercpu_time_millis: 7034.926, usercpu_time_millis_testing: 6.757, usercpu_time_millis_training: 7028.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8059, kappa: 0.6085, kb_relative_information_score: 1612.3677, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8064, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7571, scimark_benchmark: 1787.4957, usercpu_time_millis: 938.104, usercpu_time_millis_testing: 1.775, usercpu_time_millis_training: 936.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7793, kappa: 0.5546, kb_relative_information_score: 1403.7552, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.78, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.798, scimark_benchmark: 1726.9824, usercpu_time_millis: 3633.381, usercpu_time_millis_testing: 2.176, usercpu_time_millis_training: 3631.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.757, kappa: 0.5097, kb_relative_information_score: 1317.4678, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8165, scimark_benchmark: 1730.6549, usercpu_time_millis: 3901.349, usercpu_time_millis_testing: 2.281, usercpu_time_millis_training: 3899.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7696, kappa: 0.535, kb_relative_information_score: 1309.4473, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7709, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1726.1829, usercpu_time_millis: 2165.773, usercpu_time_millis_testing: 2.433, usercpu_time_millis_training: 2163.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7768, kappa: 0.5497, kb_relative_information_score: 1269.9163, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7782, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8077, scimark_benchmark: 1728.0167, usercpu_time_millis: 905.259, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 903.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8001, kappa: 0.5967, kb_relative_information_score: 1628.1389, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1790.4541, usercpu_time_millis: 8142.789, usercpu_time_millis_testing: 3.777, usercpu_time_millis_training: 8139.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7901, kappa: 0.5766, kb_relative_information_score: 1457.5865, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7906, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7814, scimark_benchmark: 1734.6706, usercpu_time_millis: 1580.491, usercpu_time_millis_testing: 2.956, usercpu_time_millis_training: 1577.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1393, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1720.188, usercpu_time_millis: 8.902, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 7.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7985, kappa: 0.5934, kb_relative_information_score: 1548.3685, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7989, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7692, scimark_benchmark: 1726.9824, usercpu_time_millis: 2098.584, usercpu_time_millis_testing: 2.224, usercpu_time_millis_training: 2096.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7953, kappa: 0.5871, kb_relative_information_score: 1548.008, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7956, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7726, scimark_benchmark: 1726.5817, usercpu_time_millis: 2312.068, usercpu_time_millis_testing: 1.766, usercpu_time_millis_training: 2310.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7909, kappa: 0.5783, kb_relative_information_score: 1446.4909, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7836, scimark_benchmark: 1730.591, usercpu_time_millis: 2421.68, usercpu_time_millis_testing: 2.834, usercpu_time_millis_training: 2418.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.753, kappa: 0.5017, kb_relative_information_score: 1036.4573, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8427, scimark_benchmark: 1732.4384, usercpu_time_millis: 391.082, usercpu_time_millis_testing: 2.26, usercpu_time_millis_training: 388.822,

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

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

OpenML APIs