OpenML
Supervised Classification on vinnie

Supervised Classification on vinnie

Task 3724 Supervised Classification vinnie 747 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, build_cpu_time: 0.0836, build_memory: 2227362635.2, f_measure: 0.8394, kappa: 0.6786, kb_relative_information_score: 211.042, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6837, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, build_cpu_time: 0.0249, build_memory: 2816433548, f_measure: 0.842, kappa: 0.6838, kb_relative_information_score: 210.8277, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8422, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6846, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.0357, build_memory: 186765400, f_measure: 0.85, kappa: 0.7002, kb_relative_information_score: 223.653, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8514, predictive_accuracy: 0.85, prior_entropy: 0.9995, recall: 0.85, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6969, scimark_benchmark: 943.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, build_cpu_time: 6.5747, build_memory: 1807338697.6, f_measure: 0.8421, kappa: 0.6844, kb_relative_information_score: 223.0078, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8433, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6947, scimark_benchmark: 894.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, build_cpu_time: 0.4075, build_memory: 1609087292.8, f_measure: 0.8394, kappa: 0.6793, kb_relative_information_score: 222.9984, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8414, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.6986, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, build_cpu_time: 0.3949, build_memory: 1122219499.2, f_measure: 0.8394, kappa: 0.6793, kb_relative_information_score: 222.9984, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8414, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.6986, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.0019, build_memory: 830027992, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 259.1954, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7785, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, build_cpu_time: 0.0055, build_memory: 714488411.2, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 260.166, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7738, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, build_cpu_time: 0.0051, build_memory: 558464117.6, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 260.166, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7738, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, build_cpu_time: 0.0028, build_memory: 593053309.6, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 260.166, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7738, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, build_cpu_time: 0.0042, build_memory: 343310664.8, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 260.166, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7738, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, build_cpu_time: 0.0612, build_memory: 664386546.4, f_measure: 0.8341, kappa: 0.669, kb_relative_information_score: 203.3099, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8373, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7182, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, build_cpu_time: 0.0608, build_memory: 505314628.8, f_measure: 0.8341, kappa: 0.669, kb_relative_information_score: 203.3099, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8373, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7182, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, build_cpu_time: 0.0268, build_memory: 576626973.6, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 223.2214, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6626, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, build_cpu_time: 0.0397, build_memory: 805945091.2, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 223.2214, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6626, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, build_cpu_time: 0.0153, build_memory: 333744184.8, f_measure: 0.8421, kappa: 0.684, kb_relative_information_score: 231.5786, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6642, scimark_benchmark: 922.0796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, build_cpu_time: 0.0106, build_memory: 94060308.8, f_measure: 0.8421, kappa: 0.684, kb_relative_information_score: 231.5786, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6642, scimark_benchmark: 929.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, build_cpu_time: 12.5153, build_memory: 3268058120, f_measure: 0.8316, kappa: 0.6632, kb_relative_information_score: 220.4014, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8321, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6732, scimark_benchmark: 943.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, build_cpu_time: 29.0658, build_memory: 279990570.4, f_measure: 0.8342, kappa: 0.6684, kb_relative_information_score: 219.4498, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8346, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6744, scimark_benchmark: 933.3429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, build_cpu_time: 0.034, build_memory: 242401398.4, f_measure: 0.8446, kappa: 0.689, kb_relative_information_score: 197.2077, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8451, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7079, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, build_cpu_time: 0.0142, build_memory: 141852129.6, f_measure: 0.8446, kappa: 0.689, kb_relative_information_score: 197.8092, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8451, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7071, scimark_benchmark: 872.1114,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, build_cpu_time: 0.1892, build_memory: 2377567665.6, f_measure: 0.8392, kappa: 0.6782, kb_relative_information_score: 233.3375, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8404, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7253, scimark_benchmark: 938.259,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, build_cpu_time: 0.0014, build_memory: 527300156.8, f_measure: 0.8341, kappa: 0.668, kb_relative_information_score: 196.3955, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8343, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7128, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, build_cpu_time: 0.5609, build_memory: 1863795300.8, f_measure: 0.8448, kappa: 0.6896, kb_relative_information_score: 194.3707, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8454, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6763, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, build_cpu_time: 1.4839, build_memory: 84713756, f_measure: 0.8421, kappa: 0.6845, kb_relative_information_score: 197.2562, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8437, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6738, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, build_cpu_time: 2.2464, build_memory: 1404584816, f_measure: 0.8447, kappa: 0.6896, kb_relative_information_score: 197.446, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8457, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6738, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, build_cpu_time: 4.5716, build_memory: 131192090.4, f_measure: 0.8421, kappa: 0.6841, kb_relative_information_score: 198.3424, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8422, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6729, scimark_benchmark: 934.3289,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, build_cpu_time: 0.2562, build_memory: 999985512, f_measure: 0.8395, kappa: 0.6791, kb_relative_information_score: 253.2226, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8404, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7417, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, build_cpu_time: 0.1468, build_memory: 1067054072, f_measure: 0.8341, kappa: 0.6689, kb_relative_information_score: 254.6187, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8366, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7595, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, build_cpu_time: 0.1224, build_memory: 487809304, f_measure: 0.8342, kappa: 0.6687, kb_relative_information_score: 251.6515, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8356, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7417, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, build_cpu_time: 0.0392, build_memory: 1863164572, f_measure: 0.8392, kappa: 0.6797, kb_relative_information_score: 257.2906, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8441, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7621, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, build_cpu_time: 0.2613, build_memory: 1673842028, f_measure: 0.8447, kappa: 0.6891, kb_relative_information_score: 203.229, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8448, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.6985, scimark_benchmark: 942.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, build_cpu_time: 0.4641, build_memory: 429437881.6, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 202.4, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6981, scimark_benchmark: 932.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, build_cpu_time: 0.1873, build_memory: 1413475013.6, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 207.2313, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6948, scimark_benchmark: 945.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, build_cpu_time: 0.0777, build_memory: 844586184, f_measure: 0.8447, kappa: 0.6891, kb_relative_information_score: 208.0539, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8448, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.695, scimark_benchmark: 947.7557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, build_cpu_time: 0.0492, build_memory: 660591264, f_measure: 0.8447, kappa: 0.6891, kb_relative_information_score: 206.8897, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8448, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.6992, scimark_benchmark: 943.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, build_cpu_time: 0.0137, build_memory: 806179033.6, f_measure: 0.8395, kappa: 0.6787, kb_relative_information_score: 208.5293, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8395, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6961, scimark_benchmark: 940.6314,

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