OpenML
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.894, kappa: 0.453, kb_relative_information_score: 373.6016, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8965, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8113, scimark_benchmark: 1304.7308, usercpu_time_millis: 3.247, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 3.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8949, kappa: 0.4457, kb_relative_information_score: 365.4131, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9079, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7902, scimark_benchmark: 1318.3684, usercpu_time_millis: 45.647, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 45.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -111.8177, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9961, scimark_benchmark: 1289.0055, usercpu_time_millis: 13.017, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 12.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -1.9292, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3288, root_relative_squared_error: 1.0043, scimark_benchmark: 1311.5737, usercpu_time_millis: 4.286, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 4.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8961, kappa: 0.4635, kb_relative_information_score: 378.3059, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8996, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.8058, scimark_benchmark: 1272.754, usercpu_time_millis: 3.375, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 3.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -125.4186, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9903, scimark_benchmark: 1275.946, usercpu_time_millis: 14.416, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 14.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8969, kappa: 0.47, kb_relative_information_score: 373.4839, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8993, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.8068, scimark_benchmark: 1291.3426, usercpu_time_millis: 3.164, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -1.3702, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3287, root_relative_squared_error: 1.0041, scimark_benchmark: 1282.6194, usercpu_time_millis: 4.54, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8935, kappa: 0.4558, kb_relative_information_score: 374.2721, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8936, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8188, scimark_benchmark: 1299.5033, usercpu_time_millis: 4.278, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 4.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -105.1541, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.9936, scimark_benchmark: 1310.8587, usercpu_time_millis: 12.882, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 12.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.8306, kappa: 0.0607, kb_relative_information_score: 84.0251, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8519, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.971, scimark_benchmark: 1285.6543, usercpu_time_millis: 3.93, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 3.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8904, kappa: 0.4333, kb_relative_information_score: 348.0701, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8926, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.8289, scimark_benchmark: 1303.7381, usercpu_time_millis: 3.7, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 3.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.8242, kappa: 0.0196, kb_relative_information_score: 23.1504, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8939, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.9924, scimark_benchmark: 1290.7161, usercpu_time_millis: 5.735, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 5.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8346, kappa: 0.0946, kb_relative_information_score: -67.9624, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8313, predictive_accuracy: 0.8759, prior_entropy: 0.5368, recall: 0.8759, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.9595, scimark_benchmark: 1283.1081, usercpu_time_millis: 13.682, usercpu_time_millis_testing: -0.033, usercpu_time_millis_training: 13.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8955, kappa: 0.4611, kb_relative_information_score: 378.5682, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8985, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.8073, scimark_benchmark: 1306.1535, usercpu_time_millis: 3.297, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 3.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8951, kappa: 0.4577, kb_relative_information_score: 374.1345, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8986, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.266, root_relative_squared_error: 0.8126, scimark_benchmark: 1288.5529, usercpu_time_millis: 3.939, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 3.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8789, kappa: 0.3688, kb_relative_information_score: 294.2252, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8802, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.277, root_relative_squared_error: 0.8461, scimark_benchmark: 1287.1245, usercpu_time_millis: 7.829, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 7.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8943, kappa: 0.4432, kb_relative_information_score: 357.5121, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9064, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.7922, scimark_benchmark: 1311.9339, usercpu_time_millis: 24.652, usercpu_time_millis_testing: -0.347, usercpu_time_millis_training: 24.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8937, kappa: 0.4599, kb_relative_information_score: 359.8713, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8929, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8155, scimark_benchmark: 1309.9963, usercpu_time_millis: 4.46, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 4.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -109.9185, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.981, scimark_benchmark: 1313.0476, usercpu_time_millis: 13.964, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 13.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8892, kappa: 0.4286, kb_relative_information_score: 353.8676, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8906, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.8392, scimark_benchmark: 1295.9651, usercpu_time_millis: 6.02, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 5.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -133.3752, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.9932, scimark_benchmark: 1301.5234, usercpu_time_millis: 13.131, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 12.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.893, kappa: 0.4472, kb_relative_information_score: 364.6216, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8956, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8188, scimark_benchmark: 1287.1225, usercpu_time_millis: 3.325, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6136, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 31.9619, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9917, scimark_benchmark: 1310.7211, usercpu_time_millis: 3.95, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 364.5971, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9061, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7901, scimark_benchmark: 1286.3748, usercpu_time_millis: 130.331, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 130.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.8326, kappa: 0.0715, kb_relative_information_score: 78.3078, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8636, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.9724, scimark_benchmark: 1298.7272, usercpu_time_millis: 4.322, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 4.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.8222, kappa: 0.0084, kb_relative_information_score: 28.7129, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8322, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.9892, scimark_benchmark: 1295.6737, usercpu_time_millis: 4.264, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 4.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.8326, kappa: 0.0715, kb_relative_information_score: 70.673, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8636, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.9757, scimark_benchmark: 1288.0684, usercpu_time_millis: 3.816, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 3.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.8254, kappa: 0.0278, kb_relative_information_score: -148.8527, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8638, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.9828, scimark_benchmark: 1285.1988, usercpu_time_millis: 15.454, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 15.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8925, kappa: 0.4502, kb_relative_information_score: 360.642, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8926, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8199, scimark_benchmark: 1304.2493, usercpu_time_millis: 4.122, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8933, kappa: 0.4358, kb_relative_information_score: 344.597, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9079, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.7952, scimark_benchmark: 1291.9462, usercpu_time_millis: 414.96, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 414.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 31.6041, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9918, scimark_benchmark: 1296.421, usercpu_time_millis: 3.985, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 358.5091, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7918, scimark_benchmark: 1277.9829, usercpu_time_millis: 269.601, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 269.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8967, kappa: 0.4659, kb_relative_information_score: 379.3225, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9007, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8009, scimark_benchmark: 1283.8057, usercpu_time_millis: 3.27, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 3.199,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.8423, kappa: 0.1506, kb_relative_information_score: 55.0362, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8367, predictive_accuracy: 0.8752, prior_entropy: 0.5368, recall: 0.8752, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.307, root_relative_squared_error: 0.9377, scimark_benchmark: 1337.7122, usercpu_time_millis: 12.833, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 12.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8902, kappa: 0.4344, kb_relative_information_score: 348.509, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8915, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.8286, scimark_benchmark: 1328.1542, usercpu_time_millis: 3.118, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 3.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.8231, kappa: 0.0153, kb_relative_information_score: 10.3188, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8204, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9943, scimark_benchmark: 1351.5814, usercpu_time_millis: 5.154, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 5.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8999, kappa: 0.4767, kb_relative_information_score: 377.2323, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.91, predictive_accuracy: 0.915, prior_entropy: 0.5368, recall: 0.915, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.789, scimark_benchmark: 1356.782, usercpu_time_millis: 4.184, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 4.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.8251, kappa: 0.0263, kb_relative_information_score: 48.2271, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8454, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.9824, scimark_benchmark: 1330.5547, usercpu_time_millis: 4.069, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 3.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8708, kappa: 0.3202, kb_relative_information_score: 195.2154, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8723, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.8815, scimark_benchmark: 1319.7096, usercpu_time_millis: 9.68, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 9.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 23.1861, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.9932, scimark_benchmark: 1360.0357, usercpu_time_millis: 3.852, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 3.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 365.2436, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9061, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.7899, scimark_benchmark: 1325.8761, usercpu_time_millis: 93.29, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 93.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8979, kappa: 0.4648, kb_relative_information_score: 363.0276, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9083, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.7895, scimark_benchmark: 1336.8743, usercpu_time_millis: 23.582, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 23.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8933, kappa: 0.4567, kb_relative_information_score: 372.2032, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8927, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8156, scimark_benchmark: 1339.7852, usercpu_time_millis: 4.289, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8973, kappa: 0.4683, kb_relative_information_score: 375.5864, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9018, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.7978, scimark_benchmark: 1351.1011, usercpu_time_millis: 3.198, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 3.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8446, kappa: 0.1453, kb_relative_information_score: 198.9037, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8697, predictive_accuracy: 0.8855, prior_entropy: 0.5368, recall: 0.8855, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9095, scimark_benchmark: 1357.7377, usercpu_time_millis: 4.681, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 4.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.8231, kappa: 0.0153, kb_relative_information_score: 24.7093, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8204, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.9906, scimark_benchmark: 1343.2711, usercpu_time_millis: 5.03, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 4.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.8222, kappa: 0.0084, kb_relative_information_score: -112.9227, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8322, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.9885, scimark_benchmark: 1355.6972, usercpu_time_millis: 14.018, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 13.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.8254, kappa: 0.0278, kb_relative_information_score: 28.963, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8638, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.9912, scimark_benchmark: 1342.619, usercpu_time_millis: 4.576, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 4.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.8795, kappa: 0.3864, kb_relative_information_score: -107.2928, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8762, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.9029, scimark_benchmark: 1322.2865, usercpu_time_millis: 3.84, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 3.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8937, kappa: 0.4486, kb_relative_information_score: 382.3888, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8979, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8235, scimark_benchmark: 1342.5667, usercpu_time_millis: 5.311, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -1.8822, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3289, root_relative_squared_error: 1.0045, scimark_benchmark: 1332.4517, usercpu_time_millis: 4.308, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8966, kappa: 0.4716, kb_relative_information_score: 452.1027, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8973, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.787, scimark_benchmark: 1362.6259, usercpu_time_millis: 5.017, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 4.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 369.5722, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7903, scimark_benchmark: 1345.8682, usercpu_time_millis: 33.475, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 33.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8976, kappa: 0.4666, kb_relative_information_score: 373.4196, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9047, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.7938, scimark_benchmark: 1328.8023, usercpu_time_millis: 4.479, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8983, kappa: 0.474, kb_relative_information_score: 375.7701, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9027, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8008, scimark_benchmark: 1323.4597, usercpu_time_millis: 3.409, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 3.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 33.0405, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.9909, scimark_benchmark: 1345.0379, usercpu_time_millis: 4.264, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 4.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8949, kappa: 0.4457, kb_relative_information_score: 365.4552, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9079, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7903, scimark_benchmark: 1333.5731, usercpu_time_millis: 49.403, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 49.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -83.013, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.9968, scimark_benchmark: 1320.9297, usercpu_time_millis: 13.181, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 12.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8972, kappa: 0.4632, kb_relative_information_score: 373.5393, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9051, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7904, scimark_benchmark: 1361.8924, usercpu_time_millis: 3.687, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 3.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8987, kappa: 0.4773, kb_relative_information_score: 409.1838, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9025, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.264, root_relative_squared_error: 0.8064, scimark_benchmark: 1352.2598, usercpu_time_millis: 4.186, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9001, kappa: 0.4759, kb_relative_information_score: 387.0626, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.912, predictive_accuracy: 0.9156, prior_entropy: 0.5368, recall: 0.9156, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.7814, scimark_benchmark: 1351.6966, usercpu_time_millis: 7.413, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 7.323,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.88, kappa: 0.3732, kb_relative_information_score: 244.5415, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8824, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.8301, scimark_benchmark: 1363.5785, usercpu_time_millis: 5.022, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -73.7294, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.9977, scimark_benchmark: 1353.3915, usercpu_time_millis: 13.13, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 12.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.8251, kappa: 0.0263, kb_relative_information_score: 48.2046, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8454, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.9826, scimark_benchmark: 1346.4049, usercpu_time_millis: 3.918, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 28.7911, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.9921, scimark_benchmark: 1348.4491, usercpu_time_millis: 4.338, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 4.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8992, kappa: 0.475, kb_relative_information_score: 385.4834, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9068, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.7847, scimark_benchmark: 1332.399, usercpu_time_millis: 5.462, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 5.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8943, kappa: 0.4432, kb_relative_information_score: 357.1692, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9064, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.7926, scimark_benchmark: 1356.4936, usercpu_time_millis: 27.121, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 27.05,

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