Task
Supervised Classification on fri_c2_1000_50

Supervised Classification on fri_c2_1000_50

Task 4435 Supervised Classification fri_c2_1000_50 203 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.868, kappa: 0.7281, kb_relative_information_score: 6587.6557, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.868, predictive_accuracy: 0.8683, prior_entropy: 0.9806, recall: 0.8683, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6459, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8466, kappa: 0.6838, kb_relative_information_score: 5193.7567, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8466, predictive_accuracy: 0.8471, prior_entropy: 0.9806, recall: 0.8471, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6663, scimark_benchmark: 972.587, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8581, kappa: 0.7082, kb_relative_information_score: 6130.1978, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.858, predictive_accuracy: 0.8581, prior_entropy: 0.9806, recall: 0.8581, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6422, scimark_benchmark: 934.3687, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7158, kappa: 0.4139, kb_relative_information_score: 4114.1022, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.7153, predictive_accuracy: 0.717, prior_entropy: 0.9806, recall: 0.717, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0786, scimark_benchmark: 931.771, usercpu_time_millis: 2130, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7158, kappa: 0.4139, kb_relative_information_score: 4114.1022, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.7153, predictive_accuracy: 0.717, prior_entropy: 0.9806, recall: 0.717, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0786, scimark_benchmark: 944.1067, usercpu_time_millis: 1930, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8831, kappa: 0.7587, kb_relative_information_score: 6523.8465, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8841, predictive_accuracy: 0.8838, prior_entropy: 0.9806, recall: 0.8838, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5895, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.6791, kappa: 0.3375, kb_relative_information_score: 2738.8393, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.6784, predictive_accuracy: 0.6813, prior_entropy: 0.9806, recall: 0.6813, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9389, scimark_benchmark: 934.3687, usercpu_time_millis: 16330, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 15670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8531, kappa: 0.6976, kb_relative_information_score: 6470.1149, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.853, predictive_accuracy: 0.8534, prior_entropy: 0.9806, recall: 0.8534, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6987, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7158, kappa: 0.4139, kb_relative_information_score: 4114.1022, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.7153, predictive_accuracy: 0.717, prior_entropy: 0.9806, recall: 0.717, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0786, scimark_benchmark: 937.5117, usercpu_time_millis: 2190, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7158, kappa: 0.4139, kb_relative_information_score: 4114.1022, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.7153, predictive_accuracy: 0.717, prior_entropy: 0.9806, recall: 0.717, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0786, scimark_benchmark: 974.2014, usercpu_time_millis: 2890, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8466, kappa: 0.6834, kb_relative_information_score: 4293.8359, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8474, predictive_accuracy: 0.8476, prior_entropy: 0.9806, recall: 0.8476, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.702, scimark_benchmark: 974.2014, usercpu_time_millis: 830, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.868, kappa: 0.7281, kb_relative_information_score: 6587.6557, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.868, predictive_accuracy: 0.8683, prior_entropy: 0.9806, recall: 0.8683, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6459, scimark_benchmark: 942.2392, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8466, kappa: 0.6838, kb_relative_information_score: 5193.7567, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8466, predictive_accuracy: 0.8471, prior_entropy: 0.9806, recall: 0.8471, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6663, scimark_benchmark: 908.9569, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8581, kappa: 0.7082, kb_relative_information_score: 6130.1978, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.858, predictive_accuracy: 0.8581, prior_entropy: 0.9806, recall: 0.8581, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6422, scimark_benchmark: 936.2574, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7158, kappa: 0.4139, kb_relative_information_score: 4114.1022, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.7153, predictive_accuracy: 0.717, prior_entropy: 0.9806, recall: 0.717, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0786, scimark_benchmark: 926.5462, usercpu_time_millis: 2090, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 933.3455, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8831, kappa: 0.7587, kb_relative_information_score: 6523.8465, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8841, predictive_accuracy: 0.8838, prior_entropy: 0.9806, recall: 0.8838, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5895, scimark_benchmark: 903.2737, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.6791, kappa: 0.3375, kb_relative_information_score: 2738.8393, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.6784, predictive_accuracy: 0.6813, prior_entropy: 0.9806, recall: 0.6813, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9389, scimark_benchmark: 919.3788, usercpu_time_millis: 9330, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 9080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 945.6228, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8531, kappa: 0.6976, kb_relative_information_score: 6470.1149, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.853, predictive_accuracy: 0.8534, prior_entropy: 0.9806, recall: 0.8534, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6987, scimark_benchmark: 730.6551, usercpu_time_millis: 1750, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8466, kappa: 0.6834, kb_relative_information_score: 4293.8359, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8474, predictive_accuracy: 0.8476, prior_entropy: 0.9806, recall: 0.8476, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.702, scimark_benchmark: 945.6228, usercpu_time_millis: 650, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8498, kappa: 0.6906, kb_relative_information_score: 4324.6641, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8498, predictive_accuracy: 0.8502, prior_entropy: 0.9806, recall: 0.8502, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7006, scimark_benchmark: 935.5664, usercpu_time_millis: 31200, usercpu_time_millis_testing: 11350, usercpu_time_millis_training: 19850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8493, kappa: 0.6895, kb_relative_information_score: 4307.1588, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8493, predictive_accuracy: 0.8497, prior_entropy: 0.9806, recall: 0.8497, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7037, scimark_benchmark: 934.695, usercpu_time_millis: 16940, usercpu_time_millis_testing: 6820, usercpu_time_millis_training: 10120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8469, kappa: 0.6846, kb_relative_information_score: 4317.6369, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8469, predictive_accuracy: 0.8473, prior_entropy: 0.9806, recall: 0.8473, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7073, scimark_benchmark: 905.3417, usercpu_time_millis: 6950, usercpu_time_millis_testing: 2050, usercpu_time_millis_training: 4900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8418, kappa: 0.6739, kb_relative_information_score: 4358.8353, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.842, predictive_accuracy: 0.8425, prior_entropy: 0.9806, recall: 0.8425, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7106, scimark_benchmark: 891.6381, usercpu_time_millis: 3250, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8223, kappa: 0.6336, kb_relative_information_score: 4225.0795, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8223, predictive_accuracy: 0.823, prior_entropy: 0.9806, recall: 0.823, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7384, scimark_benchmark: 919.7824, usercpu_time_millis: 1480, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8244, kappa: 0.6373, kb_relative_information_score: 5219.7274, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8253, predictive_accuracy: 0.8257, prior_entropy: 0.9806, recall: 0.8257, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7116, scimark_benchmark: 936.1714, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8244, kappa: 0.6373, kb_relative_information_score: 5219.7274, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8253, predictive_accuracy: 0.8257, prior_entropy: 0.9806, recall: 0.8257, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7116, scimark_benchmark: 889.4922, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8244, kappa: 0.6373, kb_relative_information_score: 5219.7274, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8253, predictive_accuracy: 0.8257, prior_entropy: 0.9806, recall: 0.8257, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7116, scimark_benchmark: 941.9549, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8244, kappa: 0.6373, kb_relative_information_score: 5219.7274, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8253, predictive_accuracy: 0.8257, prior_entropy: 0.9806, recall: 0.8257, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7116, scimark_benchmark: 941.9549, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8247, kappa: 0.638, kb_relative_information_score: 5202.0234, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8256, predictive_accuracy: 0.826, prior_entropy: 0.9806, recall: 0.826, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.711, scimark_benchmark: 926.5859, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4282, kb_relative_information_score: -0.4864, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.3387, predictive_accuracy: 0.582, prior_entropy: 0.9806, recall: 0.582, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.4932, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8732, kappa: 0.7386, kb_relative_information_score: 7326.8579, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8733, predictive_accuracy: 0.8736, prior_entropy: 0.9806, recall: 0.8736, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.662, scimark_benchmark: 936.1714, usercpu_time_millis: 3110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8552, kappa: 0.7015, kb_relative_information_score: 6985.9498, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8554, predictive_accuracy: 0.8558, prior_entropy: 0.9806, recall: 0.8558, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7015, scimark_benchmark: 938.3115, usercpu_time_millis: 1570, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8303, kappa: 0.6506, kb_relative_information_score: 6440.3092, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8302, predictive_accuracy: 0.8307, prior_entropy: 0.9806, recall: 0.8307, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7712, scimark_benchmark: 935.6052, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8668, kappa: 0.7253, kb_relative_information_score: 4065.8106, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8673, predictive_accuracy: 0.8675, prior_entropy: 0.9806, recall: 0.8675, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7151, scimark_benchmark: 938.3115, usercpu_time_millis: 2920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2910,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.868, kappa: 0.7281, kb_relative_information_score: 6587.6557, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.868, predictive_accuracy: 0.8683, prior_entropy: 0.9806, recall: 0.8683, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6459, scimark_benchmark: 934.929, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8466, kappa: 0.6838, kb_relative_information_score: 5193.7567, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8466, predictive_accuracy: 0.8471, prior_entropy: 0.9806, recall: 0.8471, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6663, scimark_benchmark: 906.0994, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8556, kappa: 0.7019, kb_relative_information_score: 6413.345, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8562, predictive_accuracy: 0.8564, prior_entropy: 0.9806, recall: 0.8564, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.331, root_relative_squared_error: 0.671, scimark_benchmark: 938.838, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.6791, kappa: 0.3375, kb_relative_information_score: 2738.8393, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.6784, predictive_accuracy: 0.6813, prior_entropy: 0.9806, recall: 0.6813, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9389, scimark_benchmark: 890.5596, usercpu_time_millis: 10680, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 10240,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8609, kappa: 0.713, kb_relative_information_score: 6563.1761, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8612, predictive_accuracy: 0.8615, prior_entropy: 0.9806, recall: 0.8615, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6417, scimark_benchmark: 1336.5541, usercpu_time_millis: 890, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7158, kappa: 0.4139, kb_relative_information_score: 4114.1022, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.7153, predictive_accuracy: 0.717, prior_entropy: 0.9806, recall: 0.717, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0786, scimark_benchmark: 1324.8408, usercpu_time_millis: 920, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8556, kappa: 0.7019, kb_relative_information_score: 6413.345, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8562, predictive_accuracy: 0.8564, prior_entropy: 0.9806, recall: 0.8564, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.331, root_relative_squared_error: 0.671, scimark_benchmark: 1317.5857, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1309.0674, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1317.5857, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1374.9737, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8831, kappa: 0.7587, kb_relative_information_score: 6523.8465, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8841, predictive_accuracy: 0.8838, prior_entropy: 0.9806, recall: 0.8838, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5895, scimark_benchmark: 1366.7181, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1350.2591, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.868, kappa: 0.7281, kb_relative_information_score: 6587.6557, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.868, predictive_accuracy: 0.8683, prior_entropy: 0.9806, recall: 0.8683, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6459, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7158, kappa: 0.4139, kb_relative_information_score: 4114.1022, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.7153, predictive_accuracy: 0.717, prior_entropy: 0.9806, recall: 0.717, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0786, scimark_benchmark: 1351.1238, usercpu_time_millis: 630, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7158, kappa: 0.4139, kb_relative_information_score: 4114.1022, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.7153, predictive_accuracy: 0.717, prior_entropy: 0.9806, recall: 0.717, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0786, scimark_benchmark: 1316.5668, usercpu_time_millis: 870, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8556, kappa: 0.7019, kb_relative_information_score: 6413.345, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8562, predictive_accuracy: 0.8564, prior_entropy: 0.9806, recall: 0.8564, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.331, root_relative_squared_error: 0.671, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1324.7884, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1324.7884, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1322.3407, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.6791, kappa: 0.3375, kb_relative_information_score: 2738.8393, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.6784, predictive_accuracy: 0.6813, prior_entropy: 0.9806, recall: 0.6813, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9389, scimark_benchmark: 1318.6467, usercpu_time_millis: 7680, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 7330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1393.8432, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8556, kappa: 0.7019, kb_relative_information_score: 6413.345, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8562, predictive_accuracy: 0.8564, prior_entropy: 0.9806, recall: 0.8564, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.331, root_relative_squared_error: 0.671, scimark_benchmark: 1319.4538, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1313.11, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8531, kappa: 0.6976, kb_relative_information_score: 6470.1149, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.853, predictive_accuracy: 0.8534, prior_entropy: 0.9806, recall: 0.8534, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6987, scimark_benchmark: 1347.3402, usercpu_time_millis: 1170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8466, kappa: 0.6834, kb_relative_information_score: 4293.8359, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8474, predictive_accuracy: 0.8476, prior_entropy: 0.9806, recall: 0.8476, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.702, scimark_benchmark: 1332.6745, usercpu_time_millis: 600, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.868, kappa: 0.7281, kb_relative_information_score: 6587.6557, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.868, predictive_accuracy: 0.8683, prior_entropy: 0.9806, recall: 0.8683, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6459, scimark_benchmark: 1393.8432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8581, kappa: 0.7082, kb_relative_information_score: 6130.1978, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.858, predictive_accuracy: 0.8581, prior_entropy: 0.9806, recall: 0.8581, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6422, scimark_benchmark: 1318.4315, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8775, kappa: 0.7477, kb_relative_information_score: 6592.1435, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8775, predictive_accuracy: 0.8778, prior_entropy: 0.9806, recall: 0.8778, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6252, scimark_benchmark: 1318.6467, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7158, kappa: 0.4139, kb_relative_information_score: 4114.1022, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.7153, predictive_accuracy: 0.717, prior_entropy: 0.9806, recall: 0.717, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0786, scimark_benchmark: 1286.0816, usercpu_time_millis: 810, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1330.6748, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8831, kappa: 0.7587, kb_relative_information_score: 6523.8465, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8841, predictive_accuracy: 0.8838, prior_entropy: 0.9806, recall: 0.8838, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5895, scimark_benchmark: 1299.6719, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8592, kappa: 0.7095, kb_relative_information_score: 6518.6916, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4866, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9806, recall: 0.86, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4932, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6525, scimark_benchmark: 1334.9442, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs