Task
Supervised Classification on fri_c1_1000_10

Supervised Classification on fri_c1_1000_10

Task 3773 Supervised Classification fri_c1_1000_10 429 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9067, kappa: 0.8098, kb_relative_information_score: 679.8171, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.9073, predictive_accuracy: 0.907, prior_entropy: 0.9882, recall: 0.907, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5547, scimark_benchmark: 918.0213, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8837, kappa: 0.763, kb_relative_information_score: 691.7671, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9882, recall: 0.884, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6371, scimark_benchmark: 1341.5795, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.881, kappa: 0.7572, kb_relative_information_score: 469.4161, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8839, predictive_accuracy: 0.882, prior_entropy: 0.9882, recall: 0.882, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6545, scimark_benchmark: 1331.8954, usercpu_time_millis: 600, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8713, kappa: 0.7374, kb_relative_information_score: 640.9955, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8726, predictive_accuracy: 0.872, prior_entropy: 0.9882, recall: 0.872, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6163, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8664, kappa: 0.7275, kb_relative_information_score: 652.8749, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8673, predictive_accuracy: 0.867, prior_entropy: 0.9882, recall: 0.867, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.662, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8713, kappa: 0.7374, kb_relative_information_score: 640.9955, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8726, predictive_accuracy: 0.872, prior_entropy: 0.9882, recall: 0.872, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6163, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8713, kappa: 0.7374, kb_relative_information_score: 640.9955, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8726, predictive_accuracy: 0.872, prior_entropy: 0.9882, recall: 0.872, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6163, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8713, kappa: 0.7374, kb_relative_information_score: 640.9955, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8726, predictive_accuracy: 0.872, prior_entropy: 0.9882, recall: 0.872, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6163, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8837, kappa: 0.763, kb_relative_information_score: 691.7671, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9882, recall: 0.884, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6371, scimark_benchmark: 1312.0581, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8636, kappa: 0.7222, kb_relative_information_score: 622.2113, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 0.9882, recall: 0.864, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6371, scimark_benchmark: 1313.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9147, kappa: 0.8262, kb_relative_information_score: 686.5737, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.9153, predictive_accuracy: 0.915, prior_entropy: 0.9882, recall: 0.915, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5198, scimark_benchmark: 1311.9814, usercpu_time_millis: 320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8713, kappa: 0.7374, kb_relative_information_score: 640.9955, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8726, predictive_accuracy: 0.872, prior_entropy: 0.9882, recall: 0.872, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6163, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8664, kappa: 0.7275, kb_relative_information_score: 652.8749, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8673, predictive_accuracy: 0.867, prior_entropy: 0.9882, recall: 0.867, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.662, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7819, kappa: 0.5563, kb_relative_information_score: 536.981, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.7818, predictive_accuracy: 0.782, prior_entropy: 0.9882, recall: 0.782, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8479, scimark_benchmark: 1064.8317, usercpu_time_millis: 29430, usercpu_time_millis_testing: 29430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8581, kappa: 0.7105, kb_relative_information_score: 527.5351, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9882, recall: 0.859, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6575, scimark_benchmark: 1337.5749, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.7806, kappa: 0.5532, kb_relative_information_score: 551.4598, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.7804, predictive_accuracy: 0.781, prior_entropy: 0.9882, recall: 0.781, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9437, scimark_benchmark: 1317.1597, usercpu_time_millis: 260, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8664, kappa: 0.7275, kb_relative_information_score: 652.8749, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8673, predictive_accuracy: 0.867, prior_entropy: 0.9882, recall: 0.867, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.662, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8581, kappa: 0.7105, kb_relative_information_score: 527.5351, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9882, recall: 0.859, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6575, scimark_benchmark: 1309.4998, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8653, kappa: 0.7252, kb_relative_information_score: 619.2355, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8664, predictive_accuracy: 0.866, prior_entropy: 0.9882, recall: 0.866, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6317, scimark_benchmark: 1320.9026, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8736, kappa: 0.742, kb_relative_information_score: 388.6054, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8782, predictive_accuracy: 0.875, prior_entropy: 0.9882, recall: 0.875, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7155, scimark_benchmark: 1347.993, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8581, kappa: 0.7105, kb_relative_information_score: 527.5351, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9882, recall: 0.859, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6575, scimark_benchmark: 1206.8386, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8713, kappa: 0.7374, kb_relative_information_score: 640.9955, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8726, predictive_accuracy: 0.872, prior_entropy: 0.9882, recall: 0.872, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6163, scimark_benchmark: 950.6776, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8653, kappa: 0.7252, kb_relative_information_score: 619.2355, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8664, predictive_accuracy: 0.866, prior_entropy: 0.9882, recall: 0.866, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6317, scimark_benchmark: 1318.8785, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.676, kappa: 0.3385, kb_relative_information_score: 342.573, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.6765, predictive_accuracy: 0.679, prior_entropy: 0.9882, recall: 0.679, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5666, root_relative_squared_error: 1.1425, scimark_benchmark: 1371.9645, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8653, kappa: 0.7252, kb_relative_information_score: 619.2355, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8664, predictive_accuracy: 0.866, prior_entropy: 0.9882, recall: 0.866, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6317, scimark_benchmark: 1322.4968, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8664, kappa: 0.7275, kb_relative_information_score: 652.8749, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8673, predictive_accuracy: 0.867, prior_entropy: 0.9882, recall: 0.867, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.662, scimark_benchmark: 904.3681, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8581, kappa: 0.7105, kb_relative_information_score: 527.5351, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9882, recall: 0.859, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6575, scimark_benchmark: 883.2709, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8636, kappa: 0.7222, kb_relative_information_score: 622.2113, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 0.9882, recall: 0.864, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6371, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.6769, kappa: 0.3404, kb_relative_information_score: 208.8638, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.9882, recall: 0.68, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9061, scimark_benchmark: 1353.2625, usercpu_time_millis: 800, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8581, kappa: 0.7105, kb_relative_information_score: 527.5351, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9882, recall: 0.859, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6575, scimark_benchmark: 1348.8637, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8943, kappa: 0.7844, kb_relative_information_score: 680.7603, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8962, predictive_accuracy: 0.895, prior_entropy: 0.9882, recall: 0.895, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5498, scimark_benchmark: 934.4732, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7369, kappa: 0.4682, kb_relative_information_score: 280.4827, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.7397, predictive_accuracy: 0.736, prior_entropy: 0.9882, recall: 0.736, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8677, scimark_benchmark: 912.7324, usercpu_time_millis: 4350, usercpu_time_millis_testing: 4350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8831, kappa: 0.7615, kb_relative_information_score: 762.3945, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8855, predictive_accuracy: 0.884, prior_entropy: 0.9882, recall: 0.884, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6868, scimark_benchmark: 1313.6093, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.7341, kappa: 0.476, kb_relative_information_score: 287.563, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.7572, predictive_accuracy: 0.734, prior_entropy: 0.9882, recall: 0.734, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8708, scimark_benchmark: 943.1756, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8643, kappa: 0.7233, kb_relative_information_score: 614.5793, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8653, predictive_accuracy: 0.865, prior_entropy: 0.9882, recall: 0.865, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6293, scimark_benchmark: 1349.9741, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8776, kappa: 0.7505, kb_relative_information_score: 685.0871, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9882, recall: 0.878, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6611, scimark_benchmark: 1337.3264, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8581, kappa: 0.7105, kb_relative_information_score: 527.5351, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9882, recall: 0.859, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6575, scimark_benchmark: 1189.3734, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8828, kappa: 0.7608, kb_relative_information_score: 452.2304, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.887, predictive_accuracy: 0.884, prior_entropy: 0.9882, recall: 0.884, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6655, scimark_benchmark: 1311.9814, usercpu_time_millis: 310, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 270,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8089, kappa: 0.6111, kb_relative_information_score: 566.4282, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8088, predictive_accuracy: 0.809, prior_entropy: 0.9882, recall: 0.809, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8404, scimark_benchmark: 1355.8341, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.6769, kappa: 0.3404, kb_relative_information_score: 208.8754, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.9882, recall: 0.68, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9061, scimark_benchmark: 923.6051, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8647, kappa: 0.7243, kb_relative_information_score: 691.5354, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8648, predictive_accuracy: 0.865, prior_entropy: 0.9882, recall: 0.865, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6955, scimark_benchmark: 1307.7326, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8947, kappa: 0.7856, kb_relative_information_score: 731.6909, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.895, predictive_accuracy: 0.895, prior_entropy: 0.9882, recall: 0.895, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5792, scimark_benchmark: 1301.9176, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9118, kappa: 0.8203, kb_relative_information_score: 762.7442, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.9121, predictive_accuracy: 0.912, prior_entropy: 0.9882, recall: 0.912, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5113, scimark_benchmark: 1333.5799, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9058, kappa: 0.8082, kb_relative_information_score: 740.8244, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.906, predictive_accuracy: 0.906, prior_entropy: 0.9882, recall: 0.906, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5209, scimark_benchmark: 1280.6952, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8986, kappa: 0.7933, kb_relative_information_score: 699.1366, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8994, predictive_accuracy: 0.899, prior_entropy: 0.9882, recall: 0.899, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5511, scimark_benchmark: 1304.9611, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8708, kappa: 0.7371, kb_relative_information_score: 621.6779, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8708, predictive_accuracy: 0.871, prior_entropy: 0.9882, recall: 0.871, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6028, scimark_benchmark: 1321.9426, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8275, kappa: 0.648, kb_relative_information_score: 468.7168, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8299, predictive_accuracy: 0.829, prior_entropy: 0.9882, recall: 0.829, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7136, scimark_benchmark: 1324.8395, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7543, kappa: 0.4994, kb_relative_information_score: 352.9049, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.7542, predictive_accuracy: 0.755, prior_entropy: 0.9882, recall: 0.755, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8406, scimark_benchmark: 1321.9426, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7524, kappa: 0.4955, kb_relative_information_score: 376.6923, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.7522, predictive_accuracy: 0.753, prior_entropy: 0.9882, recall: 0.753, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8704, scimark_benchmark: 1363.454, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.5474, kappa: 0.1613, kb_relative_information_score: 229.938, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.6949, predictive_accuracy: 0.624, prior_entropy: 0.9882, recall: 0.624, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2365, scimark_benchmark: 1336.3256, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5433, f_measure: 0.4965, kappa: 0.0959, kb_relative_information_score: 178.7402, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.6782, predictive_accuracy: 0.599, prior_entropy: 0.9882, recall: 0.599, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6332, root_relative_squared_error: 1.277, scimark_benchmark: 1333.5799, usercpu_time_millis: 1400, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.6825, kappa: 0.3519, kb_relative_information_score: 354.8605, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.6828, predictive_accuracy: 0.685, prior_entropy: 0.9882, recall: 0.685, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5612, root_relative_squared_error: 1.1318, scimark_benchmark: 1337.7959, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.6846, kappa: 0.3561, kb_relative_information_score: 196.4537, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.687, predictive_accuracy: 0.689, prior_entropy: 0.9882, recall: 0.689, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9045, scimark_benchmark: 1335.643, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.676, kappa: 0.3385, kb_relative_information_score: 342.573, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.6765, predictive_accuracy: 0.679, prior_entropy: 0.9882, recall: 0.679, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5666, root_relative_squared_error: 1.1425, scimark_benchmark: 935.5075, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.6978, kappa: 0.384, kb_relative_information_score: 251.1607, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.6975, predictive_accuracy: 0.699, prior_entropy: 0.9882, recall: 0.699, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8824, scimark_benchmark: 899.5042, usercpu_time_millis: 16360, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 16150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8752, kappa: 0.7454, kb_relative_information_score: 650.5927, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 0.9882, recall: 0.876, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6097, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8837, kappa: 0.763, kb_relative_information_score: 691.7671, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9882, recall: 0.884, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6371, scimark_benchmark: 877.0149, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9147, kappa: 0.8262, kb_relative_information_score: 686.5737, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.9153, predictive_accuracy: 0.915, prior_entropy: 0.9882, recall: 0.915, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5198, scimark_benchmark: 825.5282, usercpu_time_millis: 380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8408, kappa: 0.6759, kb_relative_information_score: 674.3344, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8407, predictive_accuracy: 0.841, prior_entropy: 0.9882, recall: 0.841, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8041, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8717, kappa: 0.7386, kb_relative_information_score: 673.6333, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 0.9882, recall: 0.872, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6514, scimark_benchmark: 1316.0472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8626, kappa: 0.7199, kb_relative_information_score: 680.0689, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8629, predictive_accuracy: 0.863, prior_entropy: 0.9882, recall: 0.863, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.698, scimark_benchmark: 1327.6929, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7992, kappa: 0.5923, kb_relative_information_score: 588.3222, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.7996, predictive_accuracy: 0.799, prior_entropy: 0.9882, recall: 0.799, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9041, scimark_benchmark: 1341.5768, usercpu_time_millis: 310, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3452, kappa: 0.0009, kb_relative_information_score: -130.4942, mean_absolute_error: 0.552, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.5098, predictive_accuracy: 0.448, prior_entropy: 0.9882, recall: 0.448, relative_absolute_error: 1.1224, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.743, root_relative_squared_error: 1.4983, scimark_benchmark: 1287.514, usercpu_time_millis: 380, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8638, kappa: 0.7227, kb_relative_information_score: 688.2881, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 0.9882, recall: 0.864, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6605, scimark_benchmark: 1358.4523, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.7649, kappa: 0.5218, kb_relative_information_score: 518.6933, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.7648, predictive_accuracy: 0.765, prior_entropy: 0.9882, recall: 0.765, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9776, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8655, kappa: 0.726, kb_relative_information_score: 725.5322, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 0.9882, recall: 0.866, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7382, scimark_benchmark: 1353.5686, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.4068, kb_relative_information_score: -0.0472, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8679, kappa: 0.7312, kb_relative_information_score: 712.7638, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8678, predictive_accuracy: 0.868, prior_entropy: 0.9882, recall: 0.868, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7031, scimark_benchmark: 1605.6303, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.684, kappa: 0.3552, kb_relative_information_score: 366.4918, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.6839, predictive_accuracy: 0.686, prior_entropy: 0.9882, recall: 0.686, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.0602, scimark_benchmark: 927.0753, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,

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