OpenML
Supervised Classification on labor

Supervised Classification on labor

Task 1768 Supervised Classification labor 355 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, build_cpu_time: 0.3226, build_memory: 1598388302.5404, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 205.1918, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7114, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, build_cpu_time: 0.4921, build_memory: 1207282276.2105, f_measure: 0.8832, kappa: 0.7417, kb_relative_information_score: 208.4269, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8833, predictive_accuracy: 0.8842, prior_entropy: 0.9393, recall: 0.8842, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7004, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, build_cpu_time: 0.8911, build_memory: 226194345.207, f_measure: 0.8866, kappa: 0.7489, kb_relative_information_score: 211.6195, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.887, predictive_accuracy: 0.8877, prior_entropy: 0.9393, recall: 0.8877, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6949, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, build_cpu_time: 1.9067, build_memory: 220547391.1018, f_measure: 0.8798, kappa: 0.7344, kb_relative_information_score: 207.1053, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8798, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.7175, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, build_cpu_time: 0.0823, build_memory: 585007976.4491, f_measure: 0.8303, kappa: 0.6251, kb_relative_information_score: 162.2055, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8299, predictive_accuracy: 0.8316, prior_entropy: 0.9393, recall: 0.8316, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7828, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, build_cpu_time: 0.0246, build_memory: 376407411.9018, f_measure: 0.8303, kappa: 0.6251, kb_relative_information_score: 162.2055, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8299, predictive_accuracy: 0.8316, prior_entropy: 0.9393, recall: 0.8316, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7828, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, build_cpu_time: 0.0258, build_memory: 11458595.6491, f_measure: 0.8303, kappa: 0.6251, kb_relative_information_score: 163.185, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8299, predictive_accuracy: 0.8316, prior_entropy: 0.9393, recall: 0.8316, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7731, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, build_cpu_time: 0.0122, build_memory: 31720067.4246, f_measure: 0.827, kappa: 0.6182, kb_relative_information_score: 160.1226, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8265, predictive_accuracy: 0.8281, prior_entropy: 0.9393, recall: 0.8281, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7906, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, build_cpu_time: 0.0038, build_memory: 1616140036.407, f_measure: 0.8657, kappa: 0.7032, kb_relative_information_score: 187.6243, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8655, predictive_accuracy: 0.8667, prior_entropy: 0.9393, recall: 0.8667, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7584, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, build_cpu_time: 0.0027, build_memory: 214622406.6246, f_measure: 0.8657, kappa: 0.7032, kb_relative_information_score: 187.6243, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8655, predictive_accuracy: 0.8667, prior_entropy: 0.9393, recall: 0.8667, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7584, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, build_cpu_time: 0.0009, build_memory: 267031199.7754, f_measure: 0.8657, kappa: 0.7032, kb_relative_information_score: 187.5895, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8655, predictive_accuracy: 0.8667, prior_entropy: 0.9393, recall: 0.8667, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7577, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, build_cpu_time: 0.0011, build_memory: 1094270280, f_measure: 0.8355, kappa: 0.6339, kb_relative_information_score: 179.9831, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8369, predictive_accuracy: 0.8386, prior_entropy: 0.9393, recall: 0.8386, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7544, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 0.0021, build_memory: 765418696, f_measure: 0.8574, kappa: 0.6832, kb_relative_information_score: 194.1451, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8585, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7372, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, build_cpu_time: 0.0041, build_memory: 1290258121.6, f_measure: 0.8727, kappa: 0.7188, kb_relative_information_score: 199.9985, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8726, predictive_accuracy: 0.8737, prior_entropy: 0.9393, recall: 0.8737, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7361, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, build_cpu_time: 0.0125, build_memory: 1148726802.414, f_measure: 0.8664, kappa: 0.7059, kb_relative_information_score: 198.1579, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8661, predictive_accuracy: 0.8667, prior_entropy: 0.9393, recall: 0.8667, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.752, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, build_cpu_time: 0.0179, build_memory: 92902585.8807, f_measure: 0.8731, kappa: 0.7201, kb_relative_information_score: 202.083, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8728, predictive_accuracy: 0.8737, prior_entropy: 0.9393, recall: 0.8737, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7389, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, build_cpu_time: 0.0129, build_memory: 796896484.6596, f_measure: 0.8398, kappa: 0.6413, kb_relative_information_score: 136.3991, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8482, predictive_accuracy: 0.8456, prior_entropy: 0.9393, recall: 0.8456, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6981, scimark_benchmark: 937.5757,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, build_cpu_time: 0.0103, build_memory: 19842366.2596, f_measure: 0.8398, kappa: 0.6444, kb_relative_information_score: 168.2634, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8402, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7844, scimark_benchmark: 944.109,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8074, kappa: 0.5677, kb_relative_information_score: 83.5495, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8228, predictive_accuracy: 0.8175, prior_entropy: 0.9393, recall: 0.8175, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.8037, scimark_benchmark: 1326.6565, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7733, kappa: 0.4921, kb_relative_information_score: 152.6829, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7793, predictive_accuracy: 0.7825, prior_entropy: 0.9393, recall: 0.7825, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.858, scimark_benchmark: 942.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7718, kappa: 0.5096, kb_relative_information_score: 138.2264, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.78, predictive_accuracy: 0.7684, prior_entropy: 0.9393, recall: 0.7684, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8473, scimark_benchmark: 1371.5241, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.7756, kappa: 0.4966, kb_relative_information_score: 112.432, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7844, predictive_accuracy: 0.786, prior_entropy: 0.9393, recall: 0.786, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.916, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.819, kappa: 0.5989, kb_relative_information_score: 136.5126, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8186, predictive_accuracy: 0.8211, prior_entropy: 0.9393, recall: 0.8211, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7433, scimark_benchmark: 1330.7266, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7225, kappa: 0.3901, kb_relative_information_score: 85.4338, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7222, predictive_accuracy: 0.7228, prior_entropy: 0.9393, recall: 0.7228, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8748, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7029, kappa: 0.3352, kb_relative_information_score: 75.6246, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.737, predictive_accuracy: 0.7333, prior_entropy: 0.9393, recall: 0.7333, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9458, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.511, kb_relative_information_score: -1.9496, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.896, kappa: 0.7751, kb_relative_information_score: 214.5126, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9004, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6706, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.866, kappa: 0.7046, kb_relative_information_score: 103.6118, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8657, predictive_accuracy: 0.8667, prior_entropy: 0.9393, recall: 0.8667, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7431, scimark_benchmark: 1413.089, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8914, kappa: 0.7618, kb_relative_information_score: 213.5509, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8915, predictive_accuracy: 0.8912, prior_entropy: 0.9393, recall: 0.8912, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.691, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8795, kappa: 0.7332, kb_relative_information_score: 198.2184, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8798, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6924, scimark_benchmark: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 197.8578, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6837, scimark_benchmark: 1343.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7623, kappa: 0.4697, kb_relative_information_score: 93.8946, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.763, predictive_accuracy: 0.7684, prior_entropy: 0.9393, recall: 0.7684, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9158, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.8086, kappa: 0.5763, kb_relative_information_score: 156.829, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.808, predictive_accuracy: 0.8105, prior_entropy: 0.9393, recall: 0.8105, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8543, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.8086, kappa: 0.5763, kb_relative_information_score: 156.829, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.808, predictive_accuracy: 0.8105, prior_entropy: 0.9393, recall: 0.8105, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8543, scimark_benchmark: 1315.3709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1313.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8574, kappa: 0.6832, kb_relative_information_score: 189.7865, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8585, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7581, scimark_benchmark: 1334.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8607, kappa: 0.6903, kb_relative_information_score: 193.7629, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8623, predictive_accuracy: 0.8632, prior_entropy: 0.9393, recall: 0.8632, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7658, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8622, kappa: 0.6917, kb_relative_information_score: 198.3427, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8699, predictive_accuracy: 0.8667, prior_entropy: 0.9393, recall: 0.8667, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7489, scimark_benchmark: 1330.6247, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8482, kappa: 0.6649, kb_relative_information_score: 178.4436, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8478, predictive_accuracy: 0.8491, prior_entropy: 0.9393, recall: 0.8491, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.649, scimark_benchmark: 1270.2428, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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