Task
Supervised Classification on scene

Supervised Classification on scene

Task 3485 Supervised Classification scene 87266 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9595, kappa: 0.8565, kb_relative_information_score: 1618.2117, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9631, predictive_accuracy: 0.9614, prior_entropy: 0.6786, recall: 0.9614, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.192, root_relative_squared_error: 0.5007, scimark_benchmark: 1307.2206, usercpu_time_millis: 4103.016, usercpu_time_millis_testing: 7.656, usercpu_time_millis_training: 4095.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9572, kappa: 0.8483, kb_relative_information_score: 1603.6007, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.961, predictive_accuracy: 0.9593, prior_entropy: 0.6786, recall: 0.9593, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.505, scimark_benchmark: 1280.4309, usercpu_time_millis: 5122.648, usercpu_time_millis_testing: 8.09, usercpu_time_millis_training: 5114.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9343, kappa: 0.7627, kb_relative_information_score: 1274.7108, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9432, predictive_accuracy: 0.9393, prior_entropy: 0.6786, recall: 0.9393, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.6011, scimark_benchmark: 1301.8531, usercpu_time_millis: 3104.823, usercpu_time_millis_testing: 9.817, usercpu_time_millis_training: 3095.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9612, kappa: 0.8634, kb_relative_information_score: 1820.5259, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9633, predictive_accuracy: 0.9626, prior_entropy: 0.6786, recall: 0.9626, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.4625, scimark_benchmark: 1288.5722, usercpu_time_millis: 11026.068, usercpu_time_millis_testing: 7.827, usercpu_time_millis_training: 11018.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9576, kappa: 0.8497, kb_relative_information_score: 1552.1637, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9616, predictive_accuracy: 0.9597, prior_entropy: 0.6786, recall: 0.9597, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.198, root_relative_squared_error: 0.5165, scimark_benchmark: 1298.5184, usercpu_time_millis: 5150.81, usercpu_time_millis_testing: 6.701, usercpu_time_millis_training: 5144.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9613, kappa: 0.8632, kb_relative_information_score: 1669.0974, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9646, predictive_accuracy: 0.963, prior_entropy: 0.6786, recall: 0.963, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.186, root_relative_squared_error: 0.4852, scimark_benchmark: 1279.2587, usercpu_time_millis: 4620.819, usercpu_time_millis_testing: 7.582, usercpu_time_millis_training: 4613.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9654, kappa: 0.8783, kb_relative_information_score: 1819.3486, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9679, predictive_accuracy: 0.9668, prior_entropy: 0.6786, recall: 0.9668, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.4439, scimark_benchmark: 1264.0155, usercpu_time_millis: 1794.794, usercpu_time_millis_testing: 2.095, usercpu_time_millis_training: 1792.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9604, kappa: 0.8598, kb_relative_information_score: 1606.7303, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9639, predictive_accuracy: 0.9622, prior_entropy: 0.6786, recall: 0.9622, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.501, scimark_benchmark: 1279.6578, usercpu_time_millis: 2037.035, usercpu_time_millis_testing: 2.726, usercpu_time_millis_training: 2034.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9604, kappa: 0.8598, kb_relative_information_score: 1636.5203, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9639, predictive_accuracy: 0.9622, prior_entropy: 0.6786, recall: 0.9622, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4945, scimark_benchmark: 1299.3674, usercpu_time_millis: 3419.296, usercpu_time_millis_testing: 4.527, usercpu_time_millis_training: 3414.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9663, kappa: 0.8814, kb_relative_information_score: 1781.7689, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9688, predictive_accuracy: 0.9676, prior_entropy: 0.6786, recall: 0.9676, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.4505, scimark_benchmark: 1276.2356, usercpu_time_millis: 1131.251, usercpu_time_millis_testing: 1.66, usercpu_time_millis_training: 1129.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.946, kappa: 0.8065, kb_relative_information_score: 1411.3922, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.952, predictive_accuracy: 0.9493, prior_entropy: 0.6786, recall: 0.9493, relative_absolute_error: 0.4614, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.5589, scimark_benchmark: 1277.2433, usercpu_time_millis: 3254.712, usercpu_time_millis_testing: 5.682, usercpu_time_millis_training: 3249.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9474, kappa: 0.8119, kb_relative_information_score: 1435.3456, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9531, predictive_accuracy: 0.9506, prior_entropy: 0.6786, recall: 0.9506, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.5573, scimark_benchmark: 1306.2999, usercpu_time_millis: 1720.446, usercpu_time_millis_testing: 3.815, usercpu_time_millis_training: 1716.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.74, kappa: -0.0008, kb_relative_information_score: -0.7811, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8205, prior_entropy: 0.6786, recall: 0.8205, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.9996, scimark_benchmark: 1252.2367, usercpu_time_millis: 236.537, usercpu_time_millis_testing: 3.475, usercpu_time_millis_training: 233.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8285, kappa: 0.3626, kb_relative_information_score: 684.5583, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8329, predictive_accuracy: 0.8509, prior_entropy: 0.6786, recall: 0.8509, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.82, scimark_benchmark: 1303.4501, usercpu_time_millis: 383.113, usercpu_time_millis_testing: 4.974, usercpu_time_millis_training: 378.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7407, kappa: 0.002, kb_relative_information_score: 68.735, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.7088, predictive_accuracy: 0.813, prior_entropy: 0.6786, recall: 0.813, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.972, scimark_benchmark: 1305.7624, usercpu_time_millis: 474.366, usercpu_time_millis_testing: 5.458, usercpu_time_millis_training: 468.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.939, kappa: 0.7877, kb_relative_information_score: 1520.7025, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.939, predictive_accuracy: 0.9406, prior_entropy: 0.6786, recall: 0.9406, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.5682, scimark_benchmark: 1311.8744, usercpu_time_millis: 167.625, usercpu_time_millis_testing: 1.452, usercpu_time_millis_training: 166.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.89, kappa: 0.6205, kb_relative_information_score: 1046.7745, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8888, predictive_accuracy: 0.8916, prior_entropy: 0.6786, recall: 0.8916, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.7301, scimark_benchmark: 1303.7514, usercpu_time_millis: 161.268, usercpu_time_millis_testing: 1.684, usercpu_time_millis_training: 159.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8784, kappa: 0.568, kb_relative_information_score: 943.7983, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8771, predictive_accuracy: 0.8845, prior_entropy: 0.6786, recall: 0.8845, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.7697, scimark_benchmark: 1303.7617, usercpu_time_millis: 394.309, usercpu_time_millis_testing: 5.702, usercpu_time_millis_training: 388.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 8.081, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9989, scimark_benchmark: 1311.7432, usercpu_time_millis: 161.138, usercpu_time_millis_testing: 1.711, usercpu_time_millis_training: 159.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8264, kappa: 0.3572, kb_relative_information_score: 638.92, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.828, predictive_accuracy: 0.8475, prior_entropy: 0.6786, recall: 0.8475, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8449, scimark_benchmark: 1323.6749, usercpu_time_millis: 302.534, usercpu_time_millis_testing: 5.19, usercpu_time_millis_training: 297.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.89, kappa: 0.6205, kb_relative_information_score: 1034.8268, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8888, predictive_accuracy: 0.8916, prior_entropy: 0.6786, recall: 0.8916, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.7325, scimark_benchmark: 1291.9194, usercpu_time_millis: 179.095, usercpu_time_millis_testing: 2.081, usercpu_time_millis_training: 177.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8909, kappa: 0.6193, kb_relative_information_score: 1075.6482, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8895, predictive_accuracy: 0.8941, prior_entropy: 0.6786, recall: 0.8941, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.731, scimark_benchmark: 1308.2214, usercpu_time_millis: 112.213, usercpu_time_millis_testing: 1.686, usercpu_time_millis_training: 110.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8495, kappa: 0.4481, kb_relative_information_score: 695.1577, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8522, predictive_accuracy: 0.865, prior_entropy: 0.6786, recall: 0.865, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8365, scimark_benchmark: 1302.4662, usercpu_time_millis: 432.894, usercpu_time_millis_testing: 6.794, usercpu_time_millis_training: 426.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 8.9357, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9985, scimark_benchmark: 1299.291, usercpu_time_millis: 578.622, usercpu_time_millis_testing: 10.483, usercpu_time_millis_training: 568.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.7536, kappa: 0.0515, kb_relative_information_score: 88.9399, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8122, predictive_accuracy: 0.8251, prior_entropy: 0.6786, recall: 0.8251, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.9832, scimark_benchmark: 1271.2233, usercpu_time_millis: 304.971, usercpu_time_millis_testing: 4.986, usercpu_time_millis_training: 299.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 9.8943, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9983, scimark_benchmark: 1293.1283, usercpu_time_millis: 573.64, usercpu_time_millis_testing: 9.215, usercpu_time_millis_training: 564.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8289, kappa: 0.3637, kb_relative_information_score: 679.5519, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8335, predictive_accuracy: 0.8513, prior_entropy: 0.6786, recall: 0.8513, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.8212, scimark_benchmark: 1320.0356, usercpu_time_millis: 389.993, usercpu_time_millis_testing: 5.213, usercpu_time_millis_training: 384.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 7.9437, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9988, scimark_benchmark: 1293.7464, usercpu_time_millis: 463.257, usercpu_time_millis_testing: 8.201, usercpu_time_millis_training: 455.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9891, kappa: 0.9624, kb_relative_information_score: 2202.2423, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.6786, recall: 0.9892, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2715, scimark_benchmark: 1290.3995, usercpu_time_millis: 159.501, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 158.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9499, kappa: 0.8273, kb_relative_information_score: 1684.5991, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9497, predictive_accuracy: 0.9506, prior_entropy: 0.6786, recall: 0.9506, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.5258, scimark_benchmark: 1285.3022, usercpu_time_millis: 161.71, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 160.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.768, kappa: 0.1097, kb_relative_information_score: 192.5727, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.7846, predictive_accuracy: 0.8247, prior_entropy: 0.6786, recall: 0.8247, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9409, scimark_benchmark: 1304.0433, usercpu_time_millis: 403.228, usercpu_time_millis_testing: 5.512, usercpu_time_millis_training: 397.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7483, kappa: 0.0311, kb_relative_information_score: 37.7834, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.7531, predictive_accuracy: 0.8193, prior_entropy: 0.6786, recall: 0.8193, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9807, scimark_benchmark: 1279.1034, usercpu_time_millis: 339.208, usercpu_time_millis_testing: 5.654, usercpu_time_millis_training: 333.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 7.8393, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9988, scimark_benchmark: 1295.5098, usercpu_time_millis: 441.21, usercpu_time_millis_testing: 8.12, usercpu_time_millis_training: 433.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9407, kappa: 0.7961, kb_relative_information_score: 1635.162, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9404, predictive_accuracy: 0.9414, prior_entropy: 0.6786, recall: 0.9414, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.215, root_relative_squared_error: 0.5608, scimark_benchmark: 1299.391, usercpu_time_millis: 146.831, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 145.859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.948, kappa: 0.8205, kb_relative_information_score: 1661.6801, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9479, predictive_accuracy: 0.9489, prior_entropy: 0.6786, recall: 0.9489, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.5386, scimark_benchmark: 1272.3484, usercpu_time_millis: 149.378, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 148.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7406, kappa: 0.0013, kb_relative_information_score: 3.2602, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.7188, predictive_accuracy: 0.8201, prior_entropy: 0.6786, recall: 0.8201, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9951, scimark_benchmark: 1285.084, usercpu_time_millis: 268.378, usercpu_time_millis_testing: 4.128, usercpu_time_millis_training: 264.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 7.8393, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9988, scimark_benchmark: 1308.5042, usercpu_time_millis: 499.227, usercpu_time_millis_testing: 8.359, usercpu_time_millis_training: 490.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.74, kappa: -0.0008, kb_relative_information_score: -1.2622, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8205, prior_entropy: 0.6786, recall: 0.8205, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.9995, scimark_benchmark: 1267.2828, usercpu_time_millis: 325.899, usercpu_time_millis_testing: 4.514, usercpu_time_millis_training: 321.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9476, kappa: 0.8192, kb_relative_information_score: 1669.5121, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9474, predictive_accuracy: 0.9485, prior_entropy: 0.6786, recall: 0.9485, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.5388, scimark_benchmark: 1309.5018, usercpu_time_millis: 169.639, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 168.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 9.2856, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9984, scimark_benchmark: 1266.7387, usercpu_time_millis: 541.692, usercpu_time_millis_testing: 9.297, usercpu_time_millis_training: 532.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.7422, kappa: 0.0076, kb_relative_information_score: 13.506, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8536, predictive_accuracy: 0.8218, prior_entropy: 0.6786, recall: 0.8218, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.9968, scimark_benchmark: 1292.4255, usercpu_time_millis: 514.993, usercpu_time_millis_testing: 8.689, usercpu_time_millis_training: 506.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9424, kappa: 0.8019, kb_relative_information_score: 1642.6247, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9421, predictive_accuracy: 0.9431, prior_entropy: 0.6786, recall: 0.9431, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.5539, scimark_benchmark: 1282.561, usercpu_time_millis: 142.366, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 141.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9861, kappa: 0.9522, kb_relative_information_score: 2111.1211, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9864, predictive_accuracy: 0.9863, prior_entropy: 0.6786, recall: 0.9863, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.3137, scimark_benchmark: 1315.6764, usercpu_time_millis: 159.501, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 158.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 7.846, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9988, scimark_benchmark: 1285.5524, usercpu_time_millis: 553.608, usercpu_time_millis_testing: 9.457, usercpu_time_millis_training: 544.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.7557, kappa: 0.0596, kb_relative_information_score: 96.9412, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8235, predictive_accuracy: 0.8263, prior_entropy: 0.6786, recall: 0.8263, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.9776, scimark_benchmark: 1276.7732, usercpu_time_millis: 557.544, usercpu_time_millis_testing: 9.329, usercpu_time_millis_training: 548.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.7404, kappa: 0.0005, kb_relative_information_score: 3.7344, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.7098, predictive_accuracy: 0.8197, prior_entropy: 0.6786, recall: 0.8197, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.9947, scimark_benchmark: 1299.6134, usercpu_time_millis: 349.315, usercpu_time_millis_testing: 5.019, usercpu_time_millis_training: 344.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8372, kappa: 0.3987, kb_relative_information_score: 680.1502, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8405, predictive_accuracy: 0.8563, prior_entropy: 0.6786, recall: 0.8563, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.8334, scimark_benchmark: 1324.8518, usercpu_time_millis: 259.527, usercpu_time_millis_testing: 4.458, usercpu_time_millis_training: 255.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9411, kappa: 0.7974, kb_relative_information_score: 1637.1007, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9408, predictive_accuracy: 0.9418, prior_entropy: 0.6786, recall: 0.9418, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5611, scimark_benchmark: 1287.0755, usercpu_time_millis: 142.716, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 141.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9411, kappa: 0.7974, kb_relative_information_score: 1637.1007, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9408, predictive_accuracy: 0.9418, prior_entropy: 0.6786, recall: 0.9418, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5611, scimark_benchmark: 1285.4463, usercpu_time_millis: 136.218, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 135.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 10.3194, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9981, scimark_benchmark: 1310.5591, usercpu_time_millis: 528.71, usercpu_time_millis_testing: 9.176, usercpu_time_millis_training: 519.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9411, kappa: 0.7974, kb_relative_information_score: 1637.1007, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9408, predictive_accuracy: 0.9418, prior_entropy: 0.6786, recall: 0.9418, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5611, scimark_benchmark: 1315.7508, usercpu_time_millis: 166.423, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 165.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.953, kappa: 0.8374, kb_relative_information_score: 1686.9168, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.953, predictive_accuracy: 0.9539, prior_entropy: 0.6786, recall: 0.9539, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.5052, scimark_benchmark: 1308.0542, usercpu_time_millis: 150.952, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 149.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.984, kappa: 0.9447, kb_relative_information_score: 2112.2673, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9843, predictive_accuracy: 0.9842, prior_entropy: 0.6786, recall: 0.9842, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.3169, scimark_benchmark: 1313.0109, usercpu_time_millis: 157.289, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 156.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 8.0752, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.9987, scimark_benchmark: 1292.0626, usercpu_time_millis: 430.36, usercpu_time_millis_testing: 6.909, usercpu_time_millis_training: 423.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.901, kappa: 0.6453, kb_relative_information_score: 1095.8609, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9033, predictive_accuracy: 0.9074, prior_entropy: 0.6786, recall: 0.9074, relative_absolute_error: 0.5147, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.7001, scimark_benchmark: 1316.4173, usercpu_time_millis: 192.653, usercpu_time_millis_testing: 2.148, usercpu_time_millis_training: 190.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.901, kappa: 0.6453, kb_relative_information_score: 1095.8609, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9033, predictive_accuracy: 0.9074, prior_entropy: 0.6786, recall: 0.9074, relative_absolute_error: 0.5147, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.7001, scimark_benchmark: 1298.3454, usercpu_time_millis: 195.971, usercpu_time_millis_testing: 1.998, usercpu_time_millis_training: 193.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 8.9357, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9985, scimark_benchmark: 1327.9373, usercpu_time_millis: 497.405, usercpu_time_millis_testing: 7.895, usercpu_time_millis_training: 489.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8647, kappa: 0.5094, kb_relative_information_score: 811.8448, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8658, predictive_accuracy: 0.8758, prior_entropy: 0.6786, recall: 0.8758, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8055, scimark_benchmark: 1302.4375, usercpu_time_millis: 260.406, usercpu_time_millis_testing: 4.427, usercpu_time_millis_training: 255.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8611, kappa: 0.4983, kb_relative_information_score: 827.972, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8608, predictive_accuracy: 0.8716, prior_entropy: 0.6786, recall: 0.8716, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.7907, scimark_benchmark: 1284.4717, usercpu_time_millis: 139.77, usercpu_time_millis_testing: 1.692, usercpu_time_millis_training: 138.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.7422, kappa: 0.0076, kb_relative_information_score: 11.7111, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8536, predictive_accuracy: 0.8218, prior_entropy: 0.6786, recall: 0.8218, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.9976, scimark_benchmark: 1288.9203, usercpu_time_millis: 444.554, usercpu_time_millis_testing: 7.273, usercpu_time_millis_training: 437.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 8.1729, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.9987, scimark_benchmark: 1296.2425, usercpu_time_millis: 527.345, usercpu_time_millis_testing: 8.518, usercpu_time_millis_training: 518.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9411, kappa: 0.7974, kb_relative_information_score: 1637.1007, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9408, predictive_accuracy: 0.9418, prior_entropy: 0.6786, recall: 0.9418, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5611, scimark_benchmark: 1301.2763, usercpu_time_millis: 131.066, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 130.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.979, kappa: 0.9275, kb_relative_information_score: 1986.0202, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9791, predictive_accuracy: 0.9792, prior_entropy: 0.6786, recall: 0.9792, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.3695, scimark_benchmark: 1307.3169, usercpu_time_millis: 135.684, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 134.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9484, kappa: 0.8218, kb_relative_information_score: 1674.2263, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9483, predictive_accuracy: 0.9493, prior_entropy: 0.6786, recall: 0.9493, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.5343, scimark_benchmark: 1315.4256, usercpu_time_millis: 148.816, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 147.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 8.9357, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9985, scimark_benchmark: 1294.5045, usercpu_time_millis: 473.376, usercpu_time_millis_testing: 8.297, usercpu_time_millis_training: 465.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9338, kappa: 0.769, kb_relative_information_score: 1491.1161, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9337, predictive_accuracy: 0.9356, prior_entropy: 0.6786, recall: 0.9356, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5817, scimark_benchmark: 1281.7914, usercpu_time_millis: 136.806, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 135.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9411, kappa: 0.7974, kb_relative_information_score: 1637.1007, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9408, predictive_accuracy: 0.9418, prior_entropy: 0.6786, recall: 0.9418, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5611, scimark_benchmark: 1266.3687, usercpu_time_millis: 138.361, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 137.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8957, kappa: 0.6351, kb_relative_information_score: 1076.5793, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8945, predictive_accuracy: 0.899, prior_entropy: 0.6786, recall: 0.899, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.7138, scimark_benchmark: 1255.9353, usercpu_time_millis: 185.038, usercpu_time_millis_testing: 1.689, usercpu_time_millis_training: 183.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.7412, kappa: 0.0038, kb_relative_information_score: 8.9348, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8533, predictive_accuracy: 0.8214, prior_entropy: 0.6786, recall: 0.8214, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9985, scimark_benchmark: 1280.1796, usercpu_time_millis: 518.516, usercpu_time_millis_testing: 8.357, usercpu_time_millis_training: 510.159,

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