Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 1917 Supervised Classification diabetes 778 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.1601, build_memory: 2806994647.6885, f_measure: 0.7554, kappa: 0.4563, kb_relative_information_score: 2603.3152, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7542, predictive_accuracy: 0.7585, prior_entropy: 0.9335, recall: 0.7585, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8464, scimark_benchmark: 944.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.1765, build_memory: 363316378.3656, f_measure: 0.7554, kappa: 0.4563, kb_relative_information_score: 2603.3152, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7542, predictive_accuracy: 0.7585, prior_entropy: 0.9335, recall: 0.7585, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8464, scimark_benchmark: 894.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, build_cpu_time: 0.323, build_memory: 188518949.3521, f_measure: 0.7588, kappa: 0.4635, kb_relative_information_score: 2612.8369, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7576, predictive_accuracy: 0.762, prior_entropy: 0.9335, recall: 0.762, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8402, scimark_benchmark: 927.7787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, build_cpu_time: 0.6433, build_memory: 934059436.6344, f_measure: 0.7587, kappa: 0.4631, kb_relative_information_score: 2617.1441, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7576, predictive_accuracy: 0.7621, prior_entropy: 0.9335, recall: 0.7621, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.837, scimark_benchmark: 945.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, build_cpu_time: 1.2617, build_memory: 582764080.5146, f_measure: 0.7602, kappa: 0.4661, kb_relative_information_score: 2623.1932, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7592, predictive_accuracy: 0.7639, prior_entropy: 0.9335, recall: 0.7639, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8347, scimark_benchmark: 948.5778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, build_cpu_time: 8.1894, build_memory: 104926837.4865, f_measure: 0.7562, kappa: 0.453, kb_relative_information_score: 2416.4022, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7587, predictive_accuracy: 0.7646, prior_entropy: 0.9335, recall: 0.7646, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8398, scimark_benchmark: 945.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, build_cpu_time: 4.1319, build_memory: 1423549841.0427, f_measure: 0.7559, kappa: 0.4523, kb_relative_information_score: 2424.6932, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7583, predictive_accuracy: 0.7642, prior_entropy: 0.9335, recall: 0.7642, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8403, scimark_benchmark: 925.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, build_cpu_time: 0.2908, build_memory: 232916633.2458, f_measure: 0.7515, kappa: 0.4483, kb_relative_information_score: 3348.8549, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7502, predictive_accuracy: 0.7542, prior_entropy: 0.9335, recall: 0.7542, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9793, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, build_cpu_time: 0.5686, build_memory: 226066813.374, f_measure: 0.7566, kappa: 0.4595, kb_relative_information_score: 3431.6318, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7554, predictive_accuracy: 0.7594, prior_entropy: 0.9335, recall: 0.7594, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9742, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, build_cpu_time: 0.575, build_memory: 501237105.0208, f_measure: 0.7566, kappa: 0.4595, kb_relative_information_score: 3431.6318, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7554, predictive_accuracy: 0.7594, prior_entropy: 0.9335, recall: 0.7594, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9742, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, build_cpu_time: 1.0686, build_memory: 110519358.574, f_measure: 0.7565, kappa: 0.4601, kb_relative_information_score: 3407.7366, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7553, predictive_accuracy: 0.7586, prior_entropy: 0.9335, recall: 0.7586, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9817, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, build_cpu_time: 2.4859, build_memory: 1239651627.85, f_measure: 0.7599, kappa: 0.4677, kb_relative_information_score: 3452.8102, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7587, predictive_accuracy: 0.7618, prior_entropy: 0.9335, recall: 0.7618, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9839, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, build_cpu_time: 4.7253, build_memory: 268497734.6073, f_measure: 0.7521, kappa: 0.451, kb_relative_information_score: 3333.0059, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7509, predictive_accuracy: 0.7538, prior_entropy: 0.9335, recall: 0.7538, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.0089, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3216, f_measure: 0.3154, kappa: -0.2517, kb_relative_information_score: -4288.6477, mean_absolute_error: 0.6779, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3796, predictive_accuracy: 0.316, prior_entropy: 0.9335, recall: 0.316, relative_absolute_error: 1.4916, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7929, root_relative_squared_error: 1.6636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3516, f_measure: 0.3187, kappa: -0.247, kb_relative_information_score: -4297.4409, mean_absolute_error: 0.681, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3832, predictive_accuracy: 0.319, prior_entropy: 0.9335, recall: 0.319, relative_absolute_error: 1.4984, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8252, root_relative_squared_error: 1.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3516, f_measure: 0.3187, kappa: -0.247, kb_relative_information_score: -4297.4409, mean_absolute_error: 0.681, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3832, predictive_accuracy: 0.319, prior_entropy: 0.9335, recall: 0.319, relative_absolute_error: 1.4984, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8252, root_relative_squared_error: 1.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3192, f_measure: 0.2882, kappa: -0.231, kb_relative_information_score: -3360.3548, mean_absolute_error: 0.6093, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3647, predictive_accuracy: 0.3046, prior_entropy: 0.9335, recall: 0.3046, relative_absolute_error: 1.3406, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6505, root_relative_squared_error: 1.3648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3206, f_measure: 0.3475, kappa: -0.2667, kb_relative_information_score: -3395.303, mean_absolute_error: 0.6189, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3955, predictive_accuracy: 0.3365, prior_entropy: 0.9335, recall: 0.3365, relative_absolute_error: 1.3617, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3156, f_measure: 0.3475, kappa: -0.2667, kb_relative_information_score: -4137.528, mean_absolute_error: 0.6687, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3955, predictive_accuracy: 0.3365, prior_entropy: 0.9335, recall: 0.3365, relative_absolute_error: 1.4713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7773, root_relative_squared_error: 1.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3516, f_measure: 0.3187, kappa: -0.247, kb_relative_information_score: -4297.4409, mean_absolute_error: 0.681, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3832, predictive_accuracy: 0.319, prior_entropy: 0.9335, recall: 0.319, relative_absolute_error: 1.4984, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8252, root_relative_squared_error: 1.7313,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3141, f_measure: 0.2762, kappa: -0.3066, kb_relative_information_score: -4979.7381, mean_absolute_error: 0.7198, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3357, predictive_accuracy: 0.2802, prior_entropy: 0.9335, recall: 0.2802, relative_absolute_error: 1.5837, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8484, root_relative_squared_error: 1.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4088, f_measure: 0.247, kappa: -0.0788, kb_relative_information_score: -2782.6134, mean_absolute_error: 0.5783, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3987, predictive_accuracy: 0.3352, prior_entropy: 0.9335, recall: 0.3352, relative_absolute_error: 1.2725, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.619, root_relative_squared_error: 1.2987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2662, f_measure: 0.2741, kappa: -0.2975, kb_relative_information_score: -4371.5796, mean_absolute_error: 0.6766, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3358, predictive_accuracy: 0.2809, prior_entropy: 0.9335, recall: 0.2809, relative_absolute_error: 1.4888, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7506, root_relative_squared_error: 1.5747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2799, f_measure: 0.3027, kappa: -0.3016, kb_relative_information_score: -4774.6637, mean_absolute_error: 0.7049, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3579, predictive_accuracy: 0.2984, prior_entropy: 0.9335, recall: 0.2984, relative_absolute_error: 1.551, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8048, root_relative_squared_error: 1.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2998, f_measure: 0.376, kappa: -0.3021, kb_relative_information_score: -4223.7035, mean_absolute_error: 0.6745, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3998, predictive_accuracy: 0.3616, prior_entropy: 0.9335, recall: 0.3616, relative_absolute_error: 1.484, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7642, root_relative_squared_error: 1.6034,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2651, f_measure: 0.2822, kappa: -0.29, kb_relative_information_score: -4310.3596, mean_absolute_error: 0.6712, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3444, predictive_accuracy: 0.2874, prior_entropy: 0.9335, recall: 0.2874, relative_absolute_error: 1.4768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7408, root_relative_squared_error: 1.5543,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.2849, kappa: -0.326, kb_relative_information_score: -4302.163, mean_absolute_error: 0.6675, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3389, predictive_accuracy: 0.282, prior_entropy: 0.9335, recall: 0.282, relative_absolute_error: 1.4686, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7198, root_relative_squared_error: 1.5102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2057, f_measure: 0.3008, kappa: -0.3566, kb_relative_information_score: -4849.4693, mean_absolute_error: 0.7121, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3447, predictive_accuracy: 0.2891, prior_entropy: 0.9335, recall: 0.2891, relative_absolute_error: 1.5667, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8204, root_relative_squared_error: 1.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2063, f_measure: 0.2283, kappa: -0.3024, kb_relative_information_score: -4277.907, mean_absolute_error: 0.662, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.2882, predictive_accuracy: 0.2544, prior_entropy: 0.9335, recall: 0.2544, relative_absolute_error: 1.4565, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7034, root_relative_squared_error: 1.4757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2132, f_measure: 0.2404, kappa: -0.2939, kb_relative_information_score: -4274.846, mean_absolute_error: 0.6631, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3033, predictive_accuracy: 0.2629, prior_entropy: 0.9335, recall: 0.2629, relative_absolute_error: 1.459, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7069, root_relative_squared_error: 1.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2661, f_measure: 0.283, kappa: -0.2838, kb_relative_information_score: -4238.9347, mean_absolute_error: 0.6704, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3465, predictive_accuracy: 0.2892, prior_entropy: 0.9335, recall: 0.2892, relative_absolute_error: 1.475, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7411, root_relative_squared_error: 1.5548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2318, f_measure: 0.2814, kappa: -0.3106, kb_relative_information_score: -4274.5684, mean_absolute_error: 0.6674, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3393, predictive_accuracy: 0.2827, prior_entropy: 0.9335, recall: 0.2827, relative_absolute_error: 1.4683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7227, root_relative_squared_error: 1.5163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2159, f_measure: 0.2623, kappa: -0.3469, kb_relative_information_score: -4940.792, mean_absolute_error: 0.7109, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3158, predictive_accuracy: 0.2633, prior_entropy: 0.9335, recall: 0.2633, relative_absolute_error: 1.5641, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7798, root_relative_squared_error: 1.6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2681, f_measure: 0.3031, kappa: -0.202, kb_relative_information_score: -4292.6151, mean_absolute_error: 0.6809, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.386, predictive_accuracy: 0.3199, prior_entropy: 0.9335, recall: 0.3199, relative_absolute_error: 1.4982, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.788, root_relative_squared_error: 1.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2121, f_measure: 0.2443, kappa: -0.2894, kb_relative_information_score: -4323.4634, mean_absolute_error: 0.6661, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3084, predictive_accuracy: 0.2661, prior_entropy: 0.9335, recall: 0.2661, relative_absolute_error: 1.4657, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7109, root_relative_squared_error: 1.4914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2125, f_measure: 0.238, kappa: -0.2997, kb_relative_information_score: -5063.1095, mean_absolute_error: 0.7185, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.2997, predictive_accuracy: 0.2602, prior_entropy: 0.9335, recall: 0.2602, relative_absolute_error: 1.5809, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7917, root_relative_squared_error: 1.6609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2252, f_measure: 0.245, kappa: -0.3129, kb_relative_information_score: -4327.9746, mean_absolute_error: 0.6679, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.305, predictive_accuracy: 0.2605, prior_entropy: 0.9335, recall: 0.2605, relative_absolute_error: 1.4695, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.718, root_relative_squared_error: 1.5064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2055, f_measure: 0.2996, kappa: -0.3655, kb_relative_information_score: -4827.724, mean_absolute_error: 0.7105, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.342, predictive_accuracy: 0.2871, prior_entropy: 0.9335, recall: 0.2871, relative_absolute_error: 1.5634, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8218, root_relative_squared_error: 1.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2067, f_measure: 0.2257, kappa: -0.2994, kb_relative_information_score: -4254.0685, mean_absolute_error: 0.6603, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.2855, predictive_accuracy: 0.2539, prior_entropy: 0.9335, recall: 0.2539, relative_absolute_error: 1.4528, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.701, root_relative_squared_error: 1.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2126, f_measure: 0.238, kappa: -0.2923, kb_relative_information_score: -4258.555, mean_absolute_error: 0.6616, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.301, predictive_accuracy: 0.2621, prior_entropy: 0.9335, recall: 0.2621, relative_absolute_error: 1.4557, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7045, root_relative_squared_error: 1.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2637, f_measure: 0.2871, kappa: -0.273, kb_relative_information_score: -4268.3327, mean_absolute_error: 0.6716, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3525, predictive_accuracy: 0.294, prior_entropy: 0.9335, recall: 0.294, relative_absolute_error: 1.4777, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7416, root_relative_squared_error: 1.5558,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs