OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7643, kappa: 0.5244, kb_relative_information_score: 1314.3656, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8122, scimark_benchmark: 1832.8127, usercpu_time_millis: 758.086, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 756.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7728, kappa: 0.5416, kb_relative_information_score: 1272.2086, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1850.2758, usercpu_time_millis: 603.411, usercpu_time_millis_testing: 2.03, usercpu_time_millis_training: 601.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.807, kappa: 0.6108, kb_relative_information_score: 1564.9934, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7572, scimark_benchmark: 1852.9259, usercpu_time_millis: 460.884, usercpu_time_millis_testing: 1.966, usercpu_time_millis_training: 458.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1563.0846, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7588, scimark_benchmark: 2133.6612, usercpu_time_millis: 403.46, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 402.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8057, kappa: 0.6083, kb_relative_information_score: 1738.775, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7461, scimark_benchmark: 1857.0384, usercpu_time_millis: 388.942, usercpu_time_millis_testing: 1.7, usercpu_time_millis_training: 387.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8041, kappa: 0.6049, kb_relative_information_score: 1673.4397, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7564, scimark_benchmark: 1823.7025, usercpu_time_millis: 213.866, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 212.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8023, kappa: 0.6012, kb_relative_information_score: 1523.3245, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7694, scimark_benchmark: 1845.0549, usercpu_time_millis: 208.202, usercpu_time_millis_testing: 1.138, usercpu_time_millis_training: 207.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 863.8548, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8755, scimark_benchmark: 1848.6795, usercpu_time_millis: 134.064, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 133.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 864.5118, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.88, scimark_benchmark: 1853.9849, usercpu_time_millis: 132.453, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 131.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8003, kappa: 0.5972, kb_relative_information_score: 1387.8096, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7786, scimark_benchmark: 1853.9121, usercpu_time_millis: 96.11, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 94.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7295, kappa: 0.4543, kb_relative_information_score: 687.3126, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7296, predictive_accuracy: 0.7302, prior_entropy: 0.9948, recall: 0.7302, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8845, scimark_benchmark: 2144.0013, usercpu_time_millis: 34.251, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 32.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0854, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 10.024, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 8.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.1174, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.6392, usercpu_time_millis: 8.612, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 7.232,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7939, kappa: 0.5844, kb_relative_information_score: 1483.8922, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7939, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7789, scimark_benchmark: 1887.3987, usercpu_time_millis: 1380.279, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 1378.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7924, kappa: 0.5812, kb_relative_information_score: 1450.0514, mean_absolute_error: 0.3221, 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: 0.6488, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7849, scimark_benchmark: 1902.629, usercpu_time_millis: 632.519, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 631.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.809, kappa: 0.6146, kb_relative_information_score: 1631.4131, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8093, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7517, scimark_benchmark: 1832.1735, usercpu_time_millis: 2424.636, usercpu_time_millis_testing: 3.795, usercpu_time_millis_training: 2420.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.752, kappa: 0.4998, kb_relative_information_score: 1269.2456, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8264, scimark_benchmark: 1831.5961, usercpu_time_millis: 2014.814, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 2012.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8096, kappa: 0.6159, kb_relative_information_score: 1659.5325, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7518, scimark_benchmark: 1847.3406, usercpu_time_millis: 4871.825, usercpu_time_millis_testing: 3.796, usercpu_time_millis_training: 4868.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7887, kappa: 0.5737, kb_relative_information_score: 1420.3728, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7893, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7875, scimark_benchmark: 1830.2533, usercpu_time_millis: 3405.31, usercpu_time_millis_testing: 3.724, usercpu_time_millis_training: 3401.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7864, kappa: 0.569, kb_relative_information_score: 1528.912, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.781, scimark_benchmark: 1841.6148, usercpu_time_millis: 11591.857, usercpu_time_millis_testing: 4.007, usercpu_time_millis_training: 11587.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8082, kappa: 0.6133, kb_relative_information_score: 1652.5709, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7512, scimark_benchmark: 1716.1466, usercpu_time_millis: 1737.425, usercpu_time_millis_testing: 2.865, usercpu_time_millis_training: 1734.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7959, kappa: 0.5882, kb_relative_information_score: 1570.0277, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 1891.3278, usercpu_time_millis: 9934.809, usercpu_time_millis_testing: 4.547, usercpu_time_millis_training: 9930.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1471.8097, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.766, scimark_benchmark: 1853.5846, usercpu_time_millis: 945.055, usercpu_time_millis_testing: 4.175, usercpu_time_millis_training: 940.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7808, kappa: 0.5579, kb_relative_information_score: 1197.4558, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8084, scimark_benchmark: 1842.7105, usercpu_time_millis: 246.228, usercpu_time_millis_testing: 2.523, usercpu_time_millis_training: 243.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.741, kappa: 0.4773, kb_relative_information_score: 746.8426, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7424, predictive_accuracy: 0.7425, prior_entropy: 0.9948, recall: 0.7425, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8762, scimark_benchmark: 1845.3986, usercpu_time_millis: 111.798, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 110.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 847.6596, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8792, scimark_benchmark: 1839.7313, usercpu_time_millis: 236.3, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 234.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7456, kappa: 0.4867, kb_relative_information_score: 792.0615, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8681, scimark_benchmark: 1852.859, usercpu_time_millis: 151.917, usercpu_time_millis_testing: 2.091, usercpu_time_millis_training: 149.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7196, kappa: 0.4342, kb_relative_information_score: 577.6538, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7197, predictive_accuracy: 0.7203, prior_entropy: 0.9948, recall: 0.7203, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9019, scimark_benchmark: 1829.7478, usercpu_time_millis: 60.402, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 58.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8046, kappa: 0.6058, kb_relative_information_score: 1648.1393, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.758, scimark_benchmark: 1844.7258, usercpu_time_millis: 8388.857, usercpu_time_millis_testing: 5.356, usercpu_time_millis_training: 8383.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7994, kappa: 0.5953, kb_relative_information_score: 1650.1703, mean_absolute_error: 0.2936, 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: 0.5914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7626, scimark_benchmark: 1852.4707, usercpu_time_millis: 7038.204, usercpu_time_millis_testing: 2.949, usercpu_time_millis_training: 7035.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8063, kappa: 0.6092, kb_relative_information_score: 1656.9781, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7552, scimark_benchmark: 1854.4431, usercpu_time_millis: 4823.513, usercpu_time_millis_testing: 2.849, usercpu_time_millis_training: 4820.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8046, kappa: 0.606, kb_relative_information_score: 1772.3348, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8046, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7528, scimark_benchmark: 1850.8036, usercpu_time_millis: 4247.387, usercpu_time_millis_testing: 2.272, usercpu_time_millis_training: 4245.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8058, kappa: 0.6082, kb_relative_information_score: 1595.9836, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7606, scimark_benchmark: 1835.6067, usercpu_time_millis: 3328.864, usercpu_time_millis_testing: 3.124, usercpu_time_millis_training: 3325.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8065, kappa: 0.6099, kb_relative_information_score: 1771.8527, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7498, scimark_benchmark: 1849.7595, usercpu_time_millis: 3133.148, usercpu_time_millis_testing: 4.036, usercpu_time_millis_training: 3129.112,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7897, kappa: 0.5759, kb_relative_information_score: 1484.2662, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7899, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7813, scimark_benchmark: 2070.4056, usercpu_time_millis: 1654.874, usercpu_time_millis_testing: 1.958, usercpu_time_millis_training: 1652.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7699, kappa: 0.5356, kb_relative_information_score: 1312.0863, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7711, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8114, scimark_benchmark: 2088.0562, usercpu_time_millis: 722.191, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 721.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8025, kappa: 0.6016, kb_relative_information_score: 1577.8862, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7619, scimark_benchmark: 1986.657, usercpu_time_millis: 563.679, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 562.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7706, kappa: 0.5371, kb_relative_information_score: 1104.8618, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.771, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8231, scimark_benchmark: 1902.1536, usercpu_time_millis: 553.444, usercpu_time_millis_testing: 2.007, usercpu_time_millis_training: 551.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7994, kappa: 0.5954, kb_relative_information_score: 1672.0964, mean_absolute_error: 0.2893, 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: 0.5828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7676, scimark_benchmark: 1986.7527, usercpu_time_millis: 323.562, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 322.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 961.9206, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8776, scimark_benchmark: 2013.3427, usercpu_time_millis: 137.232, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 135.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0857, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1901.7915, usercpu_time_millis: 8.265, usercpu_time_millis_testing: 1.111, usercpu_time_millis_training: 7.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1272, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 2015.849, usercpu_time_millis: 4.748, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 4.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.773, kappa: 0.5421, kb_relative_information_score: 959.5471, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7734, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8351, scimark_benchmark: 1786.2746, usercpu_time_millis: 65.677, usercpu_time_millis_testing: 3.706, usercpu_time_millis_training: 61.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7337, kappa: 0.4627, kb_relative_information_score: 603.6801, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8925, scimark_benchmark: 1850.2875, usercpu_time_millis: 61.575, usercpu_time_millis_testing: 4.585, usercpu_time_millis_training: 56.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7925, kappa: 0.5816, kb_relative_information_score: 1158.3775, mean_absolute_error: 0.3635, 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: 0.7322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8038, scimark_benchmark: 1849.8294, usercpu_time_millis: 56.521, usercpu_time_millis_testing: 2.729, usercpu_time_millis_training: 53.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7672, kappa: 0.5303, kb_relative_information_score: 956.1783, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7679, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8372, scimark_benchmark: 1848.8462, usercpu_time_millis: 52.963, usercpu_time_millis_testing: 3.912, usercpu_time_millis_training: 49.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7478, kappa: 0.4911, kb_relative_information_score: 787.0074, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7486, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8626, scimark_benchmark: 2142.1815, usercpu_time_millis: 49.108, usercpu_time_millis_testing: 2.761, usercpu_time_millis_training: 46.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7382, kappa: 0.4718, kb_relative_information_score: 760.8771, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7389, predictive_accuracy: 0.7393, prior_entropy: 0.9948, recall: 0.7393, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8685, scimark_benchmark: 1853.9121, usercpu_time_millis: 44.161, usercpu_time_millis_testing: 3.541, usercpu_time_millis_training: 40.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7905, kappa: 0.5775, kb_relative_information_score: 1141.6834, mean_absolute_error: 0.3656, 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: 0.7365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8062, scimark_benchmark: 1852.5406, usercpu_time_millis: 36.481, usercpu_time_millis_testing: 2.685, usercpu_time_millis_training: 33.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7237, kappa: 0.4424, kb_relative_information_score: 638.9348, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7252, predictive_accuracy: 0.7254, prior_entropy: 0.9948, recall: 0.7254, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8878, scimark_benchmark: 1852.9259, usercpu_time_millis: 36.585, usercpu_time_millis_testing: 3.331, usercpu_time_millis_training: 33.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7563, kappa: 0.5084, kb_relative_information_score: 865.4588, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8506, scimark_benchmark: 1846.8309, usercpu_time_millis: 37.269, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 33.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7155, kappa: 0.4262, kb_relative_information_score: 558.9036, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7187, predictive_accuracy: 0.7182, prior_entropy: 0.9948, recall: 0.7182, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9004, scimark_benchmark: 1853.9121, usercpu_time_millis: 34.95, usercpu_time_millis_testing: 3.322, usercpu_time_millis_training: 31.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7816, kappa: 0.5595, kb_relative_information_score: 1049.606, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8211, scimark_benchmark: 1848.2024, usercpu_time_millis: 30.236, usercpu_time_millis_testing: 1.639, usercpu_time_millis_training: 28.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7747, kappa: 0.5454, kb_relative_information_score: 1008.7271, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.775, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8283, scimark_benchmark: 1858.1494, usercpu_time_millis: 31.611, usercpu_time_millis_testing: 2.108, usercpu_time_millis_training: 29.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.764, kappa: 0.5241, kb_relative_information_score: 921.0495, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7643, prior_entropy: 0.9948, recall: 0.7643, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8405, scimark_benchmark: 1853.9121, usercpu_time_millis: 28.073, usercpu_time_millis_testing: 2.114, usercpu_time_millis_training: 25.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7073, kappa: 0.4096, kb_relative_information_score: 546.4986, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7101, predictive_accuracy: 0.7099, prior_entropy: 0.9948, recall: 0.7099, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9048, scimark_benchmark: 1851.8968, usercpu_time_millis: 27.888, usercpu_time_millis_testing: 1.962, usercpu_time_millis_training: 25.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7169, kappa: 0.4286, kb_relative_information_score: 605.7948, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7185, predictive_accuracy: 0.7187, prior_entropy: 0.9948, recall: 0.7187, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8946, scimark_benchmark: 1776.0956, usercpu_time_millis: 23.915, usercpu_time_millis_testing: 1.841, usercpu_time_millis_training: 22.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7334, kappa: 0.462, kb_relative_information_score: 760.2477, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.734, predictive_accuracy: 0.7345, prior_entropy: 0.9948, recall: 0.7345, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8694, scimark_benchmark: 1846.1643, usercpu_time_millis: 20.23, usercpu_time_millis_testing: 1.87, usercpu_time_millis_training: 18.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.6238, kappa: 0.2753, kb_relative_information_score: 222.0138, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6902, predictive_accuracy: 0.6553, prior_entropy: 0.9948, recall: 0.6553, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9596, scimark_benchmark: 1855.4813, usercpu_time_millis: 22.588, usercpu_time_millis_testing: 2.462, usercpu_time_millis_training: 20.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.6699, kappa: 0.3379, kb_relative_information_score: 363.2537, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6819, predictive_accuracy: 0.678, prior_entropy: 0.9948, recall: 0.678, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9358, scimark_benchmark: 1854.9533, usercpu_time_millis: 14.93, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 13.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.746, kappa: 0.4875, kb_relative_information_score: 745.8175, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7463, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8693, scimark_benchmark: 1853.5818, usercpu_time_millis: 16.662, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 15.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7803, kappa: 0.5571, kb_relative_information_score: 1074.753, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8165, scimark_benchmark: 1753.0193, usercpu_time_millis: 22.373, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 20.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.643, kappa: 0.2957, kb_relative_information_score: 241.3556, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6762, predictive_accuracy: 0.6614, prior_entropy: 0.9948, recall: 0.6614, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9567, scimark_benchmark: 1849.8294, usercpu_time_millis: 13.83, usercpu_time_millis_testing: 1.607, usercpu_time_millis_training: 12.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.6953, kappa: 0.3858, kb_relative_information_score: 480.3089, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6997, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9161, scimark_benchmark: 1853.454, usercpu_time_millis: 15.861, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 14.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.6831, kappa: 0.3629, kb_relative_information_score: 439.8509, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6918, predictive_accuracy: 0.6892, prior_entropy: 0.9948, recall: 0.6892, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9227, scimark_benchmark: 1852.355, usercpu_time_millis: 11.232, usercpu_time_millis_testing: 1.015, usercpu_time_millis_training: 10.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.649, kappa: 0.3045, kb_relative_information_score: 256.8625, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.677, predictive_accuracy: 0.6649, prior_entropy: 0.9948, recall: 0.6649, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9541, scimark_benchmark: 1849.7595, usercpu_time_millis: 6.36, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 5.608,

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