OpenML
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 145836 Supervised Classification blood-transfusion-service-center 78885 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7467, kappa: 0.2523, kb_relative_information_score: 90.6159, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9295, scimark_benchmark: 1754.6748, usercpu_time_millis: 5.946, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 5.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7645, kappa: 0.3076, kb_relative_information_score: 94.4147, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7671, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.392, root_relative_squared_error: 0.9206, scimark_benchmark: 1933.1905, usercpu_time_millis: 0.342, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.7404, kappa: 0.2454, kb_relative_information_score: 81.1521, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7336, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.9644, scimark_benchmark: 1789.5606, usercpu_time_millis: 8.233, usercpu_time_millis_testing: 1.097, usercpu_time_millis_training: 7.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.7485, kappa: 0.26, kb_relative_information_score: 92.991, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7481, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9323, scimark_benchmark: 1749.5206, usercpu_time_millis: 5.453, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 4.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.7434, kappa: 0.2466, kb_relative_information_score: 92.6304, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.74, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.955, scimark_benchmark: 1739.3632, usercpu_time_millis: 1.376, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 1.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7539, kappa: 0.2725, kb_relative_information_score: 84.5743, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7606, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9214, scimark_benchmark: 1742.7467, usercpu_time_millis: 0.303, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.7406, kappa: 0.2352, kb_relative_information_score: 93.3208, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7396, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9322, scimark_benchmark: 1871.9601, usercpu_time_millis: 2.755, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 2.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.7389, kappa: 0.2379, kb_relative_information_score: 81.1241, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7326, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9631, scimark_benchmark: 1750.3253, usercpu_time_millis: 0.786, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.7519, kappa: 0.2742, kb_relative_information_score: 95.8866, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.9404, scimark_benchmark: 1749.1199, usercpu_time_millis: 7.96, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 6.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7457, kappa: 0.2496, kb_relative_information_score: 89.6467, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.747, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9286, scimark_benchmark: 1748.0015, usercpu_time_millis: 2.403, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 1.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.7528, kappa: 0.2774, kb_relative_information_score: 93.4758, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7493, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.948, scimark_benchmark: 1752.4403, usercpu_time_millis: 6.429, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 5.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.7509, kappa: 0.2715, kb_relative_information_score: 97.1984, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7473, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.401, root_relative_squared_error: 0.9417, scimark_benchmark: 1759.3549, usercpu_time_millis: 4.713, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 4.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.7565, kappa: 0.2892, kb_relative_information_score: 94.159, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7532, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.9411, scimark_benchmark: 2071.7629, usercpu_time_millis: 0.643, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7477, kappa: 0.2635, kb_relative_information_score: 89.3155, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7429, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.9501, scimark_benchmark: 1743.823, usercpu_time_millis: 5.775, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 4.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7487, kappa: 0.2586, kb_relative_information_score: 92.4128, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7509, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.9282, scimark_benchmark: 1771.1464, usercpu_time_millis: 3.257, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 2.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7625, kappa: 0.3015, kb_relative_information_score: 94.7975, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7652, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9211, scimark_benchmark: 1768.8158, usercpu_time_millis: 3.617, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 3.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7608, kappa: 0.3001, kb_relative_information_score: 100.2569, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7593, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9289, scimark_benchmark: 1750.3868, usercpu_time_millis: 3.859, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 3.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.7462, kappa: 0.2561, kb_relative_information_score: 95.7418, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.9456, scimark_benchmark: 2067.3103, usercpu_time_millis: 5.377, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 4.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.7477, kappa: 0.2558, kb_relative_information_score: 90.9422, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7491, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9285, scimark_benchmark: 1986.2552, usercpu_time_millis: 3.715, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 3.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.7434, kappa: 0.2466, kb_relative_information_score: 93.8612, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.74, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.9529, scimark_benchmark: 1870.1619, usercpu_time_millis: 4.401, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 3.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.7426, kappa: 0.2415, kb_relative_information_score: 90.7786, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7417, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9388, scimark_benchmark: 1630.3718, usercpu_time_millis: 1.335, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7338, kappa: 0.2251, kb_relative_information_score: 85.0828, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7261, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.9811, scimark_benchmark: 1735.3254, usercpu_time_millis: 5.411, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 4.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7415, kappa: 0.248, kb_relative_information_score: 82.1793, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7348, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.9623, scimark_benchmark: 1870.9309, usercpu_time_millis: 2.927, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 2.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.762, kappa: 0.2974, kb_relative_information_score: 84.9229, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7687, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.9207, scimark_benchmark: 1746.63, usercpu_time_millis: 0.967, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7436, kappa: 0.2442, kb_relative_information_score: 93.0566, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7435, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.9302, scimark_benchmark: 1698.0956, usercpu_time_millis: 7.367, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 5.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.7477, kappa: 0.2635, kb_relative_information_score: 88.4589, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7429, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.9549, scimark_benchmark: 1797.5922, usercpu_time_millis: 4.557, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 3.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.7423, kappa: 0.244, kb_relative_information_score: 92.9824, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7385, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.9641, scimark_benchmark: 1658.6435, usercpu_time_millis: 10.757, usercpu_time_millis_testing: 1.722, usercpu_time_millis_training: 9.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7638, kappa: 0.3039, kb_relative_information_score: 92.3436, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7687, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.9207, scimark_benchmark: 1769.9964, usercpu_time_millis: 3.765, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 3.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.7477, kappa: 0.2635, kb_relative_information_score: 89.6056, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7429, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.9498, scimark_benchmark: 1753.3033, usercpu_time_millis: 8.527, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 7.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7519, kappa: 0.2742, kb_relative_information_score: 98.3403, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.9395, scimark_benchmark: 1776.29, usercpu_time_millis: 7.228, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 6.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7567, kappa: 0.2833, kb_relative_information_score: 90.4088, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7592, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1784.2781, usercpu_time_millis: 1.12, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.7422, kappa: 0.2448, kb_relative_information_score: 94.5286, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7376, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9483, scimark_benchmark: 1844.8954, usercpu_time_millis: 2.364, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 2.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7375, kappa: 0.237, kb_relative_information_score: 79.4719, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7303, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.979, scimark_benchmark: 1728.9116, usercpu_time_millis: 4.524, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 3.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7447, kappa: 0.2469, kb_relative_information_score: 91.9737, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7452, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.9309, scimark_benchmark: 1742.7467, usercpu_time_millis: 7.316, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 6.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.7443, kappa: 0.2501, kb_relative_information_score: 93.0773, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7406, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.9616, scimark_benchmark: 1754.1719, usercpu_time_millis: 9.96, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 8.522,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7426, kappa: 0.2415, kb_relative_information_score: 92.9572, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7417, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.398, root_relative_squared_error: 0.9347, scimark_benchmark: 1874.977, usercpu_time_millis: 6.073, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 5.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.7424, kappa: 0.2351, kb_relative_information_score: 78.4236, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7544, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9254, scimark_benchmark: 1741.5952, usercpu_time_millis: 0.552, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7651, kappa: 0.3111, kb_relative_information_score: 101.2627, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7658, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9228, scimark_benchmark: 1747.0922, usercpu_time_millis: 1.59, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.7446, kappa: 0.2477, kb_relative_information_score: 92.6415, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7439, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9356, scimark_benchmark: 1861.03, usercpu_time_millis: 3.244, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 2.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.7551, kappa: 0.2822, kb_relative_information_score: 100.5311, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7534, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9341, scimark_benchmark: 1744.0664, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7623, kappa: 0.302, kb_relative_information_score: 98.7313, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7636, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9221, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.887, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.7477, kappa: 0.2558, kb_relative_information_score: 91.2075, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7491, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9284, scimark_benchmark: 1688.1613, usercpu_time_millis: 6.526, usercpu_time_millis_testing: 1.129, usercpu_time_millis_training: 5.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 100.4315, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9287, scimark_benchmark: 1875.8384, usercpu_time_millis: 3.85, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 3.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7446, kappa: 0.2477, kb_relative_information_score: 92.3099, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7439, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9384, scimark_benchmark: 1864.2071, usercpu_time_millis: 8.018, usercpu_time_millis_testing: 1.355, usercpu_time_millis_training: 6.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.7413, kappa: 0.2414, kb_relative_information_score: 94.3473, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.9404, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.408, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.7681, kappa: 0.3198, kb_relative_information_score: 98.572, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7694, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.923, scimark_benchmark: 1871.1166, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.7602, kappa: 0.2964, kb_relative_information_score: 99.6488, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7602, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9267, scimark_benchmark: 1744.0439, usercpu_time_millis: 2.776, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 2.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.7494, kappa: 0.2701, kb_relative_information_score: 85.7009, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7442, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.9589, scimark_benchmark: 1744.9079, usercpu_time_millis: 1.507, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7453, kappa: 0.2527, kb_relative_information_score: 94.2833, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7421, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.9579, scimark_benchmark: 1871.9601, usercpu_time_millis: 2.184, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 1.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7415, kappa: 0.2397, kb_relative_information_score: 93.0419, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7389, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342, scimark_benchmark: 1663.9149, usercpu_time_millis: 0.96, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7363, kappa: 0.2353, kb_relative_information_score: 79.6096, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7286, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.9882, scimark_benchmark: 1873.1439, usercpu_time_millis: 1.429, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.7462, kappa: 0.2561, kb_relative_information_score: 91.1726, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.9499, scimark_benchmark: 1870.2804, usercpu_time_millis: 3.732, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 3.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.75, kappa: 0.2682, kb_relative_information_score: 92.9476, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7468, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.9455, scimark_benchmark: 1744.5659, usercpu_time_millis: 5.72, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 4.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 100.6423, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.9312, scimark_benchmark: 1749.5206, usercpu_time_millis: 2.117, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.7595, kappa: 0.2927, kb_relative_information_score: 94.3284, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7614, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9231, scimark_benchmark: 1773.942, usercpu_time_millis: 3.219, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 2.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.7446, kappa: 0.2477, kb_relative_information_score: 92.7135, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7439, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9352, scimark_benchmark: 1784.147, usercpu_time_millis: 7.325, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 6.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.7416, kappa: 0.2388, kb_relative_information_score: 90.155, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.74, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9335, scimark_benchmark: 1873.5293, usercpu_time_millis: 0.912, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.7417, kappa: 0.2472, kb_relative_information_score: 83.2145, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7354, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.9616, scimark_benchmark: 1772.8735, usercpu_time_millis: 4.434, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 3.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.7453, kappa: 0.2527, kb_relative_information_score: 93.1115, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7421, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.9553, scimark_benchmark: 1334.5776, usercpu_time_millis: 8.007, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 6.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7436, kappa: 0.2531, kb_relative_information_score: 79.9906, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.9729, scimark_benchmark: 1867.7991, usercpu_time_millis: 4.2, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 3.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7672, kappa: 0.3167, kb_relative_information_score: 98.7199, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7692, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.9199, scimark_benchmark: 1755.4795, usercpu_time_millis: 0.631, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.7375, kappa: 0.237, kb_relative_information_score: 85.8523, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7303, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.9759, scimark_benchmark: 1752.1031, usercpu_time_millis: 2.737, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 2.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.7443, kappa: 0.2501, kb_relative_information_score: 93.4039, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7406, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.9554, scimark_benchmark: 1864.3739, usercpu_time_millis: 7.207, usercpu_time_millis_testing: 1.099, usercpu_time_millis_training: 6.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7456, kappa: 0.2454, kb_relative_information_score: 79.8547, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7565, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.925, scimark_benchmark: 1860.7227, usercpu_time_millis: 2.439, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7496, kappa: 0.2695, kb_relative_information_score: 88.762, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.745, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.9508, scimark_benchmark: 1869.2422, usercpu_time_millis: 7.912, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 6.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7537, kappa: 0.2744, kb_relative_information_score: 91.4505, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7554, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.9277, scimark_benchmark: 1755.0172, usercpu_time_millis: 3.247, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 2.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7538, kappa: 0.2801, kb_relative_information_score: 101.1325, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7508, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.9327, scimark_benchmark: 1872.0299, usercpu_time_millis: 2.819, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 2.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.7465, kappa: 0.2616, kb_relative_information_score: 84.4741, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7408, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.963, scimark_benchmark: 1720.0585, usercpu_time_millis: 4.975, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 4.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7586, kappa: 0.2894, kb_relative_information_score: 91.668, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7612, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9213, scimark_benchmark: 1746.1701, usercpu_time_millis: 3.474, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 2.935,

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