Task
Supervised Classification on gina_agnostic

Supervised Classification on gina_agnostic

Task 3891 Supervised Classification gina_agnostic 66404 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_73 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9265, kappa: 0.8529, kb_relative_information_score: 2705.1733, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9265, predictive_accuracy: 0.9265, prior_entropy: 0.9998, recall: 0.9265, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4798, scimark_benchmark: 1250.2501, usercpu_time_millis: 3126.154, usercpu_time_millis_testing: 39.413, usercpu_time_millis_training: 3086.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7915, kappa: 0.5828, kb_relative_information_score: 1751.738, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7915, predictive_accuracy: 0.7915, prior_entropy: 0.9998, recall: 0.7915, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7714, scimark_benchmark: 1288.6759, usercpu_time_millis: 1393.985, usercpu_time_millis_testing: 16.294, usercpu_time_millis_training: 1377.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.5143, kappa: 0.079, kb_relative_information_score: 65.2668, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5511, predictive_accuracy: 0.5433, prior_entropy: 0.9998, recall: 0.5433, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9878, scimark_benchmark: 1283.3661, usercpu_time_millis: 3319.334, usercpu_time_millis_testing: 54.505, usercpu_time_millis_training: 3264.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3427, kb_relative_information_score: 0.2923, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1278.2472, usercpu_time_millis: 3970.506, usercpu_time_millis_testing: 60.694, usercpu_time_millis_training: 3909.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8844, kappa: 0.7688, kb_relative_information_score: 2295.9668, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8846, predictive_accuracy: 0.8844, prior_entropy: 0.9998, recall: 0.8844, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5924, scimark_benchmark: 1249.8176, usercpu_time_millis: 3337.457, usercpu_time_millis_testing: 51, usercpu_time_millis_training: 3286.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4602, f_measure: 0.3422, kappa: -0.0023, kb_relative_information_score: -0.4309, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2581, predictive_accuracy: 0.5072, prior_entropy: 0.9998, recall: 0.5072, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1247.1905, usercpu_time_millis: 3792.114, usercpu_time_millis_testing: 61.378, usercpu_time_millis_training: 3730.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.3427, kb_relative_information_score: -0.0021, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1250.7824, usercpu_time_millis: 3757.83, usercpu_time_millis_testing: 57.07, usercpu_time_millis_training: 3700.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8456, kappa: 0.6918, kb_relative_information_score: 1626.92, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8483, predictive_accuracy: 0.8457, prior_entropy: 0.9998, recall: 0.8457, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7122, scimark_benchmark: 1251.7531, usercpu_time_millis: 3894.917, usercpu_time_millis_testing: 60.91, usercpu_time_millis_training: 3834.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3427, kb_relative_information_score: -0.1485, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1249.574, usercpu_time_millis: 4035.379, usercpu_time_millis_testing: 63.681, usercpu_time_millis_training: 3971.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.3427, kb_relative_information_score: -0.0021, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1242.2727, usercpu_time_millis: 3959.062, usercpu_time_millis_testing: 64.399, usercpu_time_millis_training: 3894.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8748, kappa: 0.7496, kb_relative_information_score: 2179.1515, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8749, predictive_accuracy: 0.8749, prior_entropy: 0.9998, recall: 0.8749, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6258, scimark_benchmark: 1278.5116, usercpu_time_millis: 1373.781, usercpu_time_millis_testing: 22.298, usercpu_time_millis_training: 1351.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7915, kappa: 0.5828, kb_relative_information_score: 1751.738, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7915, predictive_accuracy: 0.7915, prior_entropy: 0.9998, recall: 0.7915, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7714, scimark_benchmark: 1265.0744, usercpu_time_millis: 1400.893, usercpu_time_millis_testing: 16.373, usercpu_time_millis_training: 1384.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.793, kappa: 0.5911, kb_relative_information_score: 1659.8778, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8142, predictive_accuracy: 0.7964, prior_entropy: 0.9998, recall: 0.7964, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7152, scimark_benchmark: 1295.1236, usercpu_time_millis: 3255.382, usercpu_time_millis_testing: 54.146, usercpu_time_millis_training: 3201.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.3427, kb_relative_information_score: -0.0473, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1273.6143, usercpu_time_millis: 3961.705, usercpu_time_millis_testing: 62.996, usercpu_time_millis_training: 3898.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9256, kappa: 0.8512, kb_relative_information_score: 2706.9473, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9256, predictive_accuracy: 0.9256, prior_entropy: 0.9998, recall: 0.9256, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4791, scimark_benchmark: 1262.678, usercpu_time_millis: 3119.823, usercpu_time_millis_testing: 40.872, usercpu_time_millis_training: 3078.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7921, kappa: 0.584, kb_relative_information_score: 1736.8289, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7921, predictive_accuracy: 0.7921, prior_entropy: 0.9998, recall: 0.7921, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7647, scimark_benchmark: 1267.5399, usercpu_time_millis: 1536.002, usercpu_time_millis_testing: 18.362, usercpu_time_millis_training: 1517.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7915, kappa: 0.5828, kb_relative_information_score: 1751.738, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7915, predictive_accuracy: 0.7915, prior_entropy: 0.9998, recall: 0.7915, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7714, scimark_benchmark: 1306.9652, usercpu_time_millis: 1385.463, usercpu_time_millis_testing: 16.337, usercpu_time_millis_training: 1369.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7915, kappa: 0.5828, kb_relative_information_score: 1751.738, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7915, predictive_accuracy: 0.7915, prior_entropy: 0.9998, recall: 0.7915, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7714, scimark_benchmark: 1302.3719, usercpu_time_millis: 1414.5, usercpu_time_millis_testing: 16.642, usercpu_time_millis_training: 1397.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8844, kappa: 0.7688, kb_relative_information_score: 2295.9668, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8846, predictive_accuracy: 0.8844, prior_entropy: 0.9998, recall: 0.8844, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5924, scimark_benchmark: 1279.6454, usercpu_time_millis: 3874.149, usercpu_time_millis_testing: 62.981, usercpu_time_millis_training: 3811.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8676, kappa: 0.7351, kb_relative_information_score: 2094.8771, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8678, predictive_accuracy: 0.8676, prior_entropy: 0.9998, recall: 0.8676, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6362, scimark_benchmark: 1295.3315, usercpu_time_millis: 3282.308, usercpu_time_millis_testing: 52.863, usercpu_time_millis_training: 3229.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8042, kappa: 0.6083, kb_relative_information_score: 1662.1342, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8042, predictive_accuracy: 0.8042, prior_entropy: 0.9998, recall: 0.8042, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7407, scimark_benchmark: 1299.7583, usercpu_time_millis: 1333.692, usercpu_time_millis_testing: 15.667, usercpu_time_millis_training: 1318.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3427, kb_relative_information_score: -0.1485, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1261.9657, usercpu_time_millis: 3597.263, usercpu_time_millis_testing: 55.904, usercpu_time_millis_training: 3541.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8763, kappa: 0.7525, kb_relative_information_score: 2166.7075, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8763, predictive_accuracy: 0.8763, prior_entropy: 0.9998, recall: 0.8763, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6205, scimark_benchmark: 1301.3621, usercpu_time_millis: 3274.372, usercpu_time_millis_testing: 53.292, usercpu_time_millis_training: 3221.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7915, kappa: 0.5828, kb_relative_information_score: 1751.738, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7915, predictive_accuracy: 0.7915, prior_entropy: 0.9998, recall: 0.7915, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7714, scimark_benchmark: 1301.2666, usercpu_time_millis: 1389.521, usercpu_time_millis_testing: 15.785, usercpu_time_millis_training: 1373.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8829, kappa: 0.7658, kb_relative_information_score: 2258.2208, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8829, predictive_accuracy: 0.8829, prior_entropy: 0.9998, recall: 0.8829, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6008, scimark_benchmark: 1273.5719, usercpu_time_millis: 3542.845, usercpu_time_millis_testing: 54.299, usercpu_time_millis_training: 3488.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8377, kappa: 0.6755, kb_relative_information_score: 1418.766, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8391, predictive_accuracy: 0.8379, prior_entropy: 0.9998, recall: 0.8379, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7431, scimark_benchmark: 1278.9065, usercpu_time_millis: 3333.16, usercpu_time_millis_testing: 52.195, usercpu_time_millis_training: 3280.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.7724, kappa: 0.5515, kb_relative_information_score: 1182.6271, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7963, predictive_accuracy: 0.7768, prior_entropy: 0.9998, recall: 0.7768, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7911, scimark_benchmark: 1288.9268, usercpu_time_millis: 3369.785, usercpu_time_millis_testing: 52.23, usercpu_time_millis_training: 3317.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9193, kappa: 0.8385, kb_relative_information_score: 2650.3001, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9193, predictive_accuracy: 0.9193, prior_entropy: 0.9998, recall: 0.9193, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.4976, scimark_benchmark: 1247.4602, usercpu_time_millis: 3561.484, usercpu_time_millis_testing: 53.086, usercpu_time_millis_training: 3508.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.3427, kb_relative_information_score: -0.0021, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1256.1016, usercpu_time_millis: 3936.586, usercpu_time_millis_testing: 66.599, usercpu_time_millis_training: 3869.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.7926, kappa: 0.5851, kb_relative_information_score: 1747.6465, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7927, predictive_accuracy: 0.7927, prior_entropy: 0.9998, recall: 0.7927, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7688, scimark_benchmark: 1241.4014, usercpu_time_millis: 1369.419, usercpu_time_millis_testing: 17.14, usercpu_time_millis_training: 1352.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9311, kappa: 0.8622, kb_relative_information_score: 2093.7985, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9312, predictive_accuracy: 0.9311, prior_entropy: 0.9998, recall: 0.9311, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5484, scimark_benchmark: 1275.7376, usercpu_time_millis: 656.627, usercpu_time_millis_testing: 12.507, usercpu_time_millis_training: 644.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9302, kappa: 0.8604, kb_relative_information_score: 2097.1186, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9303, predictive_accuracy: 0.9302, prior_entropy: 0.9998, recall: 0.9302, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5484, scimark_benchmark: 1291.8069, usercpu_time_millis: 491.811, usercpu_time_millis_testing: 10.924, usercpu_time_millis_training: 480.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8537, kappa: 0.7077, kb_relative_information_score: 861.7019, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8566, predictive_accuracy: 0.8541, prior_entropy: 0.9998, recall: 0.8541, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8202, scimark_benchmark: 1263.6761, usercpu_time_millis: 140.106, usercpu_time_millis_testing: 11.145, usercpu_time_millis_training: 128.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9345, kappa: 0.8691, kb_relative_information_score: 1942.072, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9346, predictive_accuracy: 0.9345, prior_entropy: 0.9998, recall: 0.9345, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5794, scimark_benchmark: 1251.8226, usercpu_time_millis: 278.326, usercpu_time_millis_testing: 12.392, usercpu_time_millis_training: 265.934,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8063, kappa: 0.6129, kb_relative_information_score: 635.8876, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8091, predictive_accuracy: 0.8068, prior_entropy: 0.9998, recall: 0.8068, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8714, scimark_benchmark: 1291.2109, usercpu_time_millis: 54.004, usercpu_time_millis_testing: 3.471, usercpu_time_millis_training: 50.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9236, kappa: 0.8472, kb_relative_information_score: 1884.7886, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9237, predictive_accuracy: 0.9236, prior_entropy: 0.9998, recall: 0.9236, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5951, scimark_benchmark: 1262.4056, usercpu_time_millis: 150.001, usercpu_time_millis_testing: 6.601, usercpu_time_millis_training: 143.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8728, kappa: 0.7457, kb_relative_information_score: 1481.2437, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8731, predictive_accuracy: 0.8728, prior_entropy: 0.9998, recall: 0.8728, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6945, scimark_benchmark: 1258.6576, usercpu_time_millis: 199.185, usercpu_time_millis_testing: 7.549, usercpu_time_millis_training: 191.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8126, kappa: 0.6256, kb_relative_information_score: 513.3251, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8156, predictive_accuracy: 0.8131, prior_entropy: 0.9998, recall: 0.8131, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.895, scimark_benchmark: 1296.2498, usercpu_time_millis: 35.83, usercpu_time_millis_testing: 3.466, usercpu_time_millis_training: 32.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8036, kappa: 0.6086, kb_relative_information_score: 530.0574, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8102, predictive_accuracy: 0.8048, prior_entropy: 0.9998, recall: 0.8048, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8925, scimark_benchmark: 1294.4614, usercpu_time_millis: 48.1, usercpu_time_millis_testing: 4.054, usercpu_time_millis_training: 44.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9043, kappa: 0.8085, kb_relative_information_score: 1882.4765, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9044, predictive_accuracy: 0.9043, prior_entropy: 0.9998, recall: 0.9043, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6048, scimark_benchmark: 1284.732, usercpu_time_millis: 313.536, usercpu_time_millis_testing: 10.287, usercpu_time_millis_training: 303.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8907, kappa: 0.7815, kb_relative_information_score: 1738.3223, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.891, predictive_accuracy: 0.8907, prior_entropy: 0.9998, recall: 0.8907, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6386, scimark_benchmark: 1296.378, usercpu_time_millis: 467.501, usercpu_time_millis_testing: 10.236, usercpu_time_millis_training: 457.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9022, kappa: 0.8044, kb_relative_information_score: 1501.7556, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9023, predictive_accuracy: 0.9022, prior_entropy: 0.9998, recall: 0.9022, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6819, scimark_benchmark: 1300.6022, usercpu_time_millis: 197.969, usercpu_time_millis_testing: 10.934, usercpu_time_millis_training: 187.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8746, kappa: 0.7492, kb_relative_information_score: 1595.5474, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8749, predictive_accuracy: 0.8746, prior_entropy: 0.9998, recall: 0.8746, relative_absolute_error: 0.5927, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6727, scimark_benchmark: 1275.0396, usercpu_time_millis: 292.305, usercpu_time_millis_testing: 5.604, usercpu_time_millis_training: 286.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8742, kappa: 0.7483, kb_relative_information_score: 1119.059, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8748, predictive_accuracy: 0.8743, prior_entropy: 0.9998, recall: 0.8743, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7655, scimark_benchmark: 1305.0255, usercpu_time_millis: 162.074, usercpu_time_millis_testing: 11.601, usercpu_time_millis_training: 150.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9262, kappa: 0.8524, kb_relative_information_score: 2140.1357, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9264, predictive_accuracy: 0.9262, prior_entropy: 0.9998, recall: 0.9262, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5415, scimark_benchmark: 1264.1898, usercpu_time_millis: 901.932, usercpu_time_millis_testing: 13.587, usercpu_time_millis_training: 888.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9363, kappa: 0.8725, kb_relative_information_score: 2250.696, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9998, recall: 0.9363, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5118, scimark_benchmark: 1268.452, usercpu_time_millis: 1055.935, usercpu_time_millis_testing: 13.539, usercpu_time_millis_training: 1042.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.861, kappa: 0.7219, kb_relative_information_score: 1240.4342, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.861, predictive_accuracy: 0.861, prior_entropy: 0.9998, recall: 0.861, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7433, scimark_benchmark: 1295.218, usercpu_time_millis: 59.677, usercpu_time_millis_testing: 3.635, usercpu_time_millis_training: 56.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9014, kappa: 0.8027, kb_relative_information_score: 1736.8008, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9014, predictive_accuracy: 0.9014, prior_entropy: 0.9998, recall: 0.9014, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6358, scimark_benchmark: 1270.5997, usercpu_time_millis: 64.342, usercpu_time_millis_testing: 3.782, usercpu_time_millis_training: 60.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9077, kappa: 0.8155, kb_relative_information_score: 1908.2633, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.908, predictive_accuracy: 0.9077, prior_entropy: 0.9998, recall: 0.9077, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.5974, scimark_benchmark: 1267.66, usercpu_time_millis: 457.292, usercpu_time_millis_testing: 8.566, usercpu_time_millis_training: 448.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3427, kb_relative_information_score: -0.0781, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1297.3629, usercpu_time_millis: 23.222, usercpu_time_millis_testing: 2.298, usercpu_time_millis_training: 20.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9181, kappa: 0.8362, kb_relative_information_score: 1871.7281, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9182, predictive_accuracy: 0.9181, prior_entropy: 0.9998, recall: 0.9181, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6013, scimark_benchmark: 1295.5111, usercpu_time_millis: 95.688, usercpu_time_millis_testing: 4.454, usercpu_time_millis_training: 91.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8257, kappa: 0.6513, kb_relative_information_score: 734.9724, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8263, predictive_accuracy: 0.8258, prior_entropy: 0.9998, recall: 0.8258, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8492, scimark_benchmark: 1296.5115, usercpu_time_millis: 58.891, usercpu_time_millis_testing: 4.855, usercpu_time_millis_training: 54.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8296, kappa: 0.6597, kb_relative_information_score: 636.9543, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8331, predictive_accuracy: 0.8302, prior_entropy: 0.9998, recall: 0.8302, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8684, scimark_benchmark: 1268.5215, usercpu_time_millis: 130.013, usercpu_time_millis_testing: 11.89, usercpu_time_millis_training: 118.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8596, kappa: 0.719, kb_relative_information_score: 1206.6958, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9998, recall: 0.8596, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7495, scimark_benchmark: 1263.8488, usercpu_time_millis: 166.869, usercpu_time_millis_testing: 9.382, usercpu_time_millis_training: 157.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3427, kb_relative_information_score: -0.0422, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1302.0457, usercpu_time_millis: 48.573, usercpu_time_millis_testing: 5.372, usercpu_time_millis_training: 43.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9334, kappa: 0.8668, kb_relative_information_score: 2101.1411, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9336, predictive_accuracy: 0.9334, prior_entropy: 0.9998, recall: 0.9334, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5457, scimark_benchmark: 1271.5091, usercpu_time_millis: 505.913, usercpu_time_millis_testing: 12.264, usercpu_time_millis_training: 493.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8387, kappa: 0.6774, kb_relative_information_score: 923.2349, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.839, predictive_accuracy: 0.8388, prior_entropy: 0.9998, recall: 0.8388, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8094, scimark_benchmark: 1268.129, usercpu_time_millis: 55.133, usercpu_time_millis_testing: 4.46, usercpu_time_millis_training: 50.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9138, kappa: 0.8276, kb_relative_information_score: 1980.9482, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9141, predictive_accuracy: 0.9138, prior_entropy: 0.9998, recall: 0.9138, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.5811, scimark_benchmark: 1298.2766, usercpu_time_millis: 651.435, usercpu_time_millis_testing: 10.129, usercpu_time_millis_training: 641.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9178, kappa: 0.8356, kb_relative_information_score: 1754.5521, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9178, predictive_accuracy: 0.9178, prior_entropy: 0.9998, recall: 0.9178, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.312, root_relative_squared_error: 0.624, scimark_benchmark: 1260.106, usercpu_time_millis: 445.704, usercpu_time_millis_testing: 25.764, usercpu_time_millis_training: 419.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8455, kappa: 0.6909, kb_relative_information_score: 1198.718, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8457, predictive_accuracy: 0.8454, prior_entropy: 0.9998, recall: 0.8454, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.378, root_relative_squared_error: 0.756, scimark_benchmark: 1296.5639, usercpu_time_millis: 93.106, usercpu_time_millis_testing: 5.271, usercpu_time_millis_training: 87.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9031, kappa: 0.8061, kb_relative_information_score: 1616.7598, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9031, predictive_accuracy: 0.9031, prior_entropy: 0.9998, recall: 0.9031, relative_absolute_error: 0.5898, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6595, scimark_benchmark: 1270.9076, usercpu_time_millis: 43.481, usercpu_time_millis_testing: 3.441, usercpu_time_millis_training: 40.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8497, kappa: 0.6996, kb_relative_information_score: 868.3376, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8524, predictive_accuracy: 0.8501, prior_entropy: 0.9998, recall: 0.8501, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8192, scimark_benchmark: 1268.6631, usercpu_time_millis: 61.656, usercpu_time_millis_testing: 5.208, usercpu_time_millis_training: 56.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8038, kappa: 0.6091, kb_relative_information_score: 453.7692, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8113, predictive_accuracy: 0.8051, prior_entropy: 0.9998, recall: 0.8051, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9078, scimark_benchmark: 1280.0767, usercpu_time_millis: 51.543, usercpu_time_millis_testing: 4.464, usercpu_time_millis_training: 47.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.824, kappa: 0.6479, kb_relative_information_score: 828.173, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8243, predictive_accuracy: 0.8241, prior_entropy: 0.9998, recall: 0.8241, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8307, scimark_benchmark: 1272.9936, usercpu_time_millis: 43.852, usercpu_time_millis_testing: 3.44, usercpu_time_millis_training: 40.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8592, kappa: 0.7187, kb_relative_information_score: 886.6194, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8621, predictive_accuracy: 0.8596, prior_entropy: 0.9998, recall: 0.8596, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.815, scimark_benchmark: 1287.0799, usercpu_time_millis: 104.988, usercpu_time_millis_testing: 9.31, usercpu_time_millis_training: 95.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9227, kappa: 0.8454, kb_relative_information_score: 1920.0884, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9228, predictive_accuracy: 0.9227, prior_entropy: 0.9998, recall: 0.9227, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5887, scimark_benchmark: 1267.989, usercpu_time_millis: 457.376, usercpu_time_millis_testing: 16.132, usercpu_time_millis_training: 441.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8317, kappa: 0.6634, kb_relative_information_score: 873.4511, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8325, predictive_accuracy: 0.8319, prior_entropy: 0.9998, recall: 0.8319, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8211, scimark_benchmark: 1285.6079, usercpu_time_millis: 23.933, usercpu_time_millis_testing: 2.217, usercpu_time_millis_training: 21.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.7987, kappa: 0.5992, kb_relative_information_score: 436.9484, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8072, predictive_accuracy: 0.8002, prior_entropy: 0.9998, recall: 0.8002, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9112, scimark_benchmark: 1271.008, usercpu_time_millis: 48.578, usercpu_time_millis_testing: 3.968, usercpu_time_millis_training: 44.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8362, kappa: 0.6723, kb_relative_information_score: 1007.027, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8362, predictive_accuracy: 0.8362, prior_entropy: 0.9998, recall: 0.8362, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7938, scimark_benchmark: 1273.3655, usercpu_time_millis: 51.668, usercpu_time_millis_testing: 4.023, usercpu_time_millis_training: 47.645,

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