OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7005, kappa: 0.3971, kb_relative_information_score: 555.8307, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.708, predictive_accuracy: 0.7054, prior_entropy: 0.9948, recall: 0.7054, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9305, scimark_benchmark: 1822.1573, usercpu_time_millis: 2880.332, usercpu_time_millis_testing: 23.651, usercpu_time_millis_training: 2856.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.703, kappa: 0.4024, kb_relative_information_score: 558.2911, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.711, predictive_accuracy: 0.7081, prior_entropy: 0.9948, recall: 0.7081, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9294, scimark_benchmark: 1853.3841, usercpu_time_millis: 2768.8, usercpu_time_millis_testing: 22.863, usercpu_time_millis_training: 2745.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.703, kappa: 0.4024, kb_relative_information_score: 553.631, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.711, predictive_accuracy: 0.7081, prior_entropy: 0.9948, recall: 0.7081, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9297, scimark_benchmark: 1769.1945, usercpu_time_millis: 2785.958, usercpu_time_millis_testing: 23.447, usercpu_time_millis_training: 2762.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7022, kappa: 0.4007, kb_relative_information_score: 557.1248, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7102, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9297, scimark_benchmark: 1849.8294, usercpu_time_millis: 2691.298, usercpu_time_millis_testing: 21.956, usercpu_time_millis_training: 2669.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6972, kappa: 0.3907, kb_relative_information_score: 533.3268, mean_absolute_error: 0.4372, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7053, predictive_accuracy: 0.7025, prior_entropy: 0.9948, recall: 0.7025, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9348, scimark_benchmark: 1732.9618, usercpu_time_millis: 2761.455, usercpu_time_millis_testing: 19.755, usercpu_time_millis_training: 2741.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7099, kappa: 0.416, kb_relative_information_score: 591.1258, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7172, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.923, scimark_benchmark: 1822.7891, usercpu_time_millis: 2619.401, usercpu_time_millis_testing: 25.768, usercpu_time_millis_training: 2593.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7034, kappa: 0.4031, kb_relative_information_score: 567.7181, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7111, predictive_accuracy: 0.7083, prior_entropy: 0.9948, recall: 0.7083, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9271, scimark_benchmark: 1807.4271, usercpu_time_millis: 2560.674, usercpu_time_millis_testing: 22.916, usercpu_time_millis_training: 2537.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6932, kappa: 0.3825, kb_relative_information_score: 531.0099, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7003, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.94, scimark_benchmark: 1729.6335, usercpu_time_millis: 2717.221, usercpu_time_millis_testing: 16.321, usercpu_time_millis_training: 2700.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7042, kappa: 0.4047, kb_relative_information_score: 554.2748, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.712, predictive_accuracy: 0.7091, prior_entropy: 0.9948, recall: 0.7091, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9293, scimark_benchmark: 1735.1328, usercpu_time_millis: 2698.613, usercpu_time_millis_testing: 22.374, usercpu_time_millis_training: 2676.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.7099, kappa: 0.416, kb_relative_information_score: 593.0184, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7171, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9232, scimark_benchmark: 1828.686, usercpu_time_millis: 2640.557, usercpu_time_millis_testing: 25.688, usercpu_time_millis_training: 2614.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7015, kappa: 0.3995, kb_relative_information_score: 549.5262, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7098, predictive_accuracy: 0.7067, prior_entropy: 0.9948, recall: 0.7067, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9295, scimark_benchmark: 1774.903, usercpu_time_millis: 2616.47, usercpu_time_millis_testing: 23.264, usercpu_time_millis_training: 2593.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.7036, kappa: 0.4036, kb_relative_information_score: 553.8387, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7115, predictive_accuracy: 0.7086, prior_entropy: 0.9948, recall: 0.7086, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9295, scimark_benchmark: 1781.9619, usercpu_time_millis: 2610.971, usercpu_time_millis_testing: 22.212, usercpu_time_millis_training: 2588.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.7029, kappa: 0.4019, kb_relative_information_score: 547.5882, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7098, predictive_accuracy: 0.7075, prior_entropy: 0.9948, recall: 0.7075, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9324, scimark_benchmark: 1853.454, usercpu_time_millis: 2621.483, usercpu_time_millis_testing: 20.487, usercpu_time_millis_training: 2600.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7045, kappa: 0.4052, kb_relative_information_score: 575.8993, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7123, predictive_accuracy: 0.7094, prior_entropy: 0.9948, recall: 0.7094, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9265, scimark_benchmark: 1825.7178, usercpu_time_millis: 2534.175, usercpu_time_millis_testing: 23.4, usercpu_time_millis_training: 2510.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7098, kappa: 0.4159, kb_relative_information_score: 598.582, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7173, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9227, scimark_benchmark: 1827.059, usercpu_time_millis: 2357.565, usercpu_time_millis_testing: 21.606, usercpu_time_millis_training: 2335.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7615, kappa: 0.5187, kb_relative_information_score: 1145.3858, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8455, scimark_benchmark: 1850.8185, usercpu_time_millis: 2195.609, usercpu_time_millis_testing: 35.215, usercpu_time_millis_training: 2160.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7109, kappa: 0.4179, kb_relative_information_score: 588.504, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7177, predictive_accuracy: 0.7153, prior_entropy: 0.9948, recall: 0.7153, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9225, scimark_benchmark: 1730.1287, usercpu_time_millis: 2291.383, usercpu_time_millis_testing: 21.541, usercpu_time_millis_training: 2269.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7147, kappa: 0.4251, kb_relative_information_score: 609.3838, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7204, predictive_accuracy: 0.7185, prior_entropy: 0.9948, recall: 0.7185, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9209, scimark_benchmark: 1730.1903, usercpu_time_millis: 2229.448, usercpu_time_millis_testing: 20.605, usercpu_time_millis_training: 2208.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7569, kappa: 0.5094, kb_relative_information_score: 1110.5598, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8509, scimark_benchmark: 1797.7155, usercpu_time_millis: 2079.634, usercpu_time_millis_testing: 27.669, usercpu_time_millis_training: 2051.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7, kappa: 0.3961, kb_relative_information_score: 548.0124, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7073, predictive_accuracy: 0.7049, prior_entropy: 0.9948, recall: 0.7049, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9328, scimark_benchmark: 2149.19, usercpu_time_millis: 1754.533, usercpu_time_millis_testing: 11.871, usercpu_time_millis_training: 1742.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 1189.4035, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7835, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8083, scimark_benchmark: 1736.5552, usercpu_time_millis: 59.453, usercpu_time_millis_testing: 1.448, usercpu_time_millis_training: 58.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7925, kappa: 0.5816, kb_relative_information_score: 1626.0569, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.774, scimark_benchmark: 1835.6117, usercpu_time_millis: 63.124, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 62.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7442, kappa: 0.4844, kb_relative_information_score: 1515.0873, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7441, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8685, scimark_benchmark: 2142.1815, usercpu_time_millis: 9.99, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 9.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7967, kappa: 0.5899, kb_relative_information_score: 1323.6246, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1724.2232, usercpu_time_millis: 72.097, usercpu_time_millis_testing: 1.536, usercpu_time_millis_training: 70.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7874, kappa: 0.5711, kb_relative_information_score: 1283.6419, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7875, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7962, scimark_benchmark: 1736.4936, usercpu_time_millis: 28.303, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 27.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7902, kappa: 0.5768, kb_relative_information_score: 1546.6594, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7745, scimark_benchmark: 1753.0931, usercpu_time_millis: 64.195, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 63.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7993, kappa: 0.5951, kb_relative_information_score: 1515.7224, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7734, scimark_benchmark: 1736.9477, usercpu_time_millis: 67.737, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 66.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7748, kappa: 0.5458, kb_relative_information_score: 1330.5182, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8067, scimark_benchmark: 1814.8244, usercpu_time_millis: 77.999, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 77.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7933, kappa: 0.5832, kb_relative_information_score: 1465.3314, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7774, scimark_benchmark: 1842.1399, usercpu_time_millis: 31.361, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 30.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8036, kappa: 0.604, kb_relative_information_score: 1341.7615, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7804, scimark_benchmark: 1844.2035, usercpu_time_millis: 21.69, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 20.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7879, kappa: 0.5722, kb_relative_information_score: 1617.6563, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.776, scimark_benchmark: 1714.2341, usercpu_time_millis: 104.579, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 103.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7849, kappa: 0.5662, kb_relative_information_score: 1457.0726, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7851, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7867, scimark_benchmark: 1732.8983, usercpu_time_millis: 57.123, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 56.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7999, kappa: 0.5965, kb_relative_information_score: 1544.3079, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7665, scimark_benchmark: 1738.3274, usercpu_time_millis: 21.442, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 20.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8086, kappa: 0.6141, kb_relative_information_score: 1572.3751, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8086, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7548, scimark_benchmark: 1765.0107, usercpu_time_millis: 69.022, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 67.805,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.6936, kappa: 0.3838, kb_relative_information_score: 526.397, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7023, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.936, scimark_benchmark: 1843.657, usercpu_time_millis: 2412.977, usercpu_time_millis_testing: 16.191, usercpu_time_millis_training: 2396.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.7034, kappa: 0.4031, kb_relative_information_score: 557.5808, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7111, predictive_accuracy: 0.7083, prior_entropy: 0.9948, recall: 0.7083, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9284, scimark_benchmark: 1736.9559, usercpu_time_millis: 2444.349, usercpu_time_millis_testing: 20.573, usercpu_time_millis_training: 2423.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.6957, kappa: 0.3879, kb_relative_information_score: 529.9756, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.704, predictive_accuracy: 0.7011, prior_entropy: 0.9948, recall: 0.7011, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9354, scimark_benchmark: 1854.568, usercpu_time_millis: 2233.571, usercpu_time_millis_testing: 14.476, usercpu_time_millis_training: 2219.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7027, kappa: 0.4018, kb_relative_information_score: 550.3671, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7108, predictive_accuracy: 0.7078, prior_entropy: 0.9948, recall: 0.7078, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9315, scimark_benchmark: 1773.9439, usercpu_time_millis: 2213.305, usercpu_time_millis_testing: 15.292, usercpu_time_millis_training: 2198.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.7069, kappa: 0.4102, kb_relative_information_score: 586.2342, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7148, predictive_accuracy: 0.7118, prior_entropy: 0.9948, recall: 0.7118, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9242, scimark_benchmark: 1770.2448, usercpu_time_millis: 2098.365, usercpu_time_millis_testing: 18.323, usercpu_time_millis_training: 2080.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1158.0495, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8442, scimark_benchmark: 1813.7737, usercpu_time_millis: 2022.357, usercpu_time_millis_testing: 31.953, usercpu_time_millis_training: 1990.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7013, kappa: 0.3988, kb_relative_information_score: 547.3455, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7088, predictive_accuracy: 0.7062, prior_entropy: 0.9948, recall: 0.7062, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9319, scimark_benchmark: 1855.4813, usercpu_time_millis: 2054.137, usercpu_time_millis_testing: 14.446, usercpu_time_millis_training: 2039.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.7027, kappa: 0.4018, kb_relative_information_score: 560.4282, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7108, predictive_accuracy: 0.7078, prior_entropy: 0.9948, recall: 0.7078, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9295, scimark_benchmark: 1758.9352, usercpu_time_millis: 1980.509, usercpu_time_millis_testing: 14.448, usercpu_time_millis_training: 1966.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7095, kappa: 0.415, kb_relative_information_score: 598.5759, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7165, predictive_accuracy: 0.7139, prior_entropy: 0.9948, recall: 0.7139, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9218, scimark_benchmark: 1768.6794, usercpu_time_millis: 1940.792, usercpu_time_millis_testing: 17.404, usercpu_time_millis_training: 1923.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.7104, kappa: 0.417, kb_relative_information_score: 592.8195, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7178, predictive_accuracy: 0.715, prior_entropy: 0.9948, recall: 0.715, relative_absolute_error: 0.867, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9233, scimark_benchmark: 1770.1402, usercpu_time_millis: 1917.862, usercpu_time_millis_testing: 16.677, usercpu_time_millis_training: 1901.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1085.3424, usercpu_time_millis: 228.835, usercpu_time_millis_testing: 227.581, usercpu_time_millis_training: 1.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.762, kappa: 0.5198, kb_relative_information_score: 1424.4993, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8097, scimark_benchmark: 1082.0405, usercpu_time_millis: 226.848, usercpu_time_millis_testing: 225.61, usercpu_time_millis_training: 1.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1366.6275, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1724.7601, usercpu_time_millis: 143.668, usercpu_time_millis_testing: 143.022, usercpu_time_millis_training: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7599, kappa: 0.5154, kb_relative_information_score: 1357.9796, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1729.6688, usercpu_time_millis: 138.573, usercpu_time_millis_testing: 137.918, usercpu_time_millis_training: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1688.5621, usercpu_time_millis: 127.878, usercpu_time_millis_testing: 127.115, usercpu_time_millis_training: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.764, kappa: 0.5237, kb_relative_information_score: 1446.2991, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7647, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1687.3125, usercpu_time_millis: 125.493, usercpu_time_millis_testing: 124.739, usercpu_time_millis_training: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1718.9392, usercpu_time_millis: 117.368, usercpu_time_millis_testing: 116.708, usercpu_time_millis_training: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7683, kappa: 0.5327, kb_relative_information_score: 1566.9641, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8154, scimark_benchmark: 1727.6992, usercpu_time_millis: 110.408, usercpu_time_millis_testing: 109.754, usercpu_time_millis_training: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7628, kappa: 0.5215, kb_relative_information_score: 1435.2201, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7636, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1724.5497, usercpu_time_millis: 108.919, usercpu_time_millis_testing: 108.293, usercpu_time_millis_training: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1414.0915, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.81, scimark_benchmark: 1728.4686, usercpu_time_millis: 140.276, usercpu_time_millis_testing: 139.452, usercpu_time_millis_training: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1738.1343, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1728.8693, usercpu_time_millis: 105.285, usercpu_time_millis_testing: 104.631, usercpu_time_millis_training: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1414.0915, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.81, scimark_benchmark: 1725.7969, usercpu_time_millis: 105.295, usercpu_time_millis_testing: 104.661, usercpu_time_millis_training: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7674, kappa: 0.5308, kb_relative_information_score: 1521.9462, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8114, scimark_benchmark: 1723.9607, usercpu_time_millis: 102.352, usercpu_time_millis_testing: 101.732, usercpu_time_millis_training: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1747.1039, usercpu_time_millis: 104.927, usercpu_time_millis_testing: 104.359, usercpu_time_millis_training: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1895.9061, usercpu_time_millis: 94.974, usercpu_time_millis_testing: 94.408, usercpu_time_millis_training: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1366.6275, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 2011.591, usercpu_time_millis: 97.565, usercpu_time_millis_testing: 97.042, usercpu_time_millis_training: 0.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1414.0915, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.81, scimark_benchmark: 1900.4002, usercpu_time_millis: 99.289, usercpu_time_millis_testing: 98.725, usercpu_time_millis_training: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1853.3841, usercpu_time_millis: 103.201, usercpu_time_millis_testing: 102.647, usercpu_time_millis_training: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7599, kappa: 0.5154, kb_relative_information_score: 1357.9796, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1731.5366, usercpu_time_millis: 101.088, usercpu_time_millis_testing: 100.485, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7628, kappa: 0.5215, kb_relative_information_score: 1435.2201, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7636, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1730.591, usercpu_time_millis: 100.624, usercpu_time_millis_testing: 100.028, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1366.6275, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1853.454, usercpu_time_millis: 106.637, usercpu_time_millis_testing: 106.046, usercpu_time_millis_training: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1849.8294, usercpu_time_millis: 99.003, usercpu_time_millis_testing: 98.431, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.762, kappa: 0.5198, kb_relative_information_score: 1424.4993, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8097, scimark_benchmark: 1741.8495, usercpu_time_millis: 94.742, usercpu_time_millis_testing: 94.188, usercpu_time_millis_training: 0.554,

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