Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 145857 Supervised Classification phoneme 102354 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7863, kappa: 0.4822, kb_relative_information_score: 1739.3742, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7854, predictive_accuracy: 0.7874, prior_entropy: 0.8733, recall: 0.7874, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8502, kappa: 0.6357, kb_relative_information_score: 2688.6179, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8494, predictive_accuracy: 0.8516, prior_entropy: 0.8733, recall: 0.8516, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.877, kappa: 0.6978, kb_relative_information_score: 2975.4429, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8779, predictive_accuracy: 0.8799, prior_entropy: 0.8733, recall: 0.8799, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7842, kappa: 0.4907, kb_relative_information_score: 1719.8084, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7906, predictive_accuracy: 0.7803, prior_entropy: 0.8733, recall: 0.7803, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.389, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7764, kappa: 0.4762, kb_relative_information_score: 1649.1669, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7857, predictive_accuracy: 0.7715, prior_entropy: 0.8733, recall: 0.7715, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.415, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8768, kappa: 0.7008, kb_relative_information_score: 3385.535, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8763, predictive_accuracy: 0.8777, prior_entropy: 0.8733, recall: 0.8777, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.7057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8966, kappa: 0.7501, kb_relative_information_score: 3965.753, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8964, predictive_accuracy: 0.8969, prior_entropy: 0.8733, recall: 0.8969, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9162, kappa: 0.7956, kb_relative_information_score: 3669.6402, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9164, predictive_accuracy: 0.9173, prior_entropy: 0.8733, recall: 0.9173, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9162, kappa: 0.7956, kb_relative_information_score: 3669.6402, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9164, predictive_accuracy: 0.9173, prior_entropy: 0.8733, recall: 0.9173, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1348.7693, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7693, kappa: 0.437, kb_relative_information_score: 2200.361, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7673, predictive_accuracy: 0.7726, prior_entropy: 0.8733, recall: 0.7726, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4688, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8803, kappa: 0.7085, kb_relative_information_score: 3295.7102, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8799, predictive_accuracy: 0.8816, prior_entropy: 0.8733, recall: 0.8816, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.292, root_relative_squared_error: 0.6412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1554.5872, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7548, kappa: 0.3944, kb_relative_information_score: 1562.2856, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7521, predictive_accuracy: 0.7626, prior_entropy: 0.8733, recall: 0.7626, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8949, kappa: 0.7456, kb_relative_information_score: 3361.6165, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8946, predictive_accuracy: 0.8953, prior_entropy: 0.8733, recall: 0.8953, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.6088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8614, kappa: 0.6617, kb_relative_information_score: 2502.7346, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8608, predictive_accuracy: 0.8632, prior_entropy: 0.8733, recall: 0.8632, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: -0.3608, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8813, kappa: 0.7112, kb_relative_information_score: 3337.0914, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8809, predictive_accuracy: 0.8825, prior_entropy: 0.8733, recall: 0.8825, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8185, kappa: 0.5559, kb_relative_information_score: 2496.8107, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8173, predictive_accuracy: 0.8216, prior_entropy: 0.8733, recall: 0.8216, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8813, kappa: 0.7112, kb_relative_information_score: 3337.0914, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8809, predictive_accuracy: 0.8825, prior_entropy: 0.8733, recall: 0.8825, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7719, kappa: 0.4435, kb_relative_information_score: 1395.6399, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7699, predictive_accuracy: 0.775, prior_entropy: 0.8733, recall: 0.775, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8636, kappa: 0.6713, kb_relative_information_score: 3101.0194, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8637, predictive_accuracy: 0.8634, prior_entropy: 0.8733, recall: 0.8634, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1554.5872, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.7709, kappa: 0.4413, kb_relative_information_score: 2227.4599, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.769, predictive_accuracy: 0.7739, prior_entropy: 0.8733, recall: 0.7739, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1554.5872, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9149, kappa: 0.7941, kb_relative_information_score: 3544.0299, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9147, predictive_accuracy: 0.9152, prior_entropy: 0.8733, recall: 0.9152, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.7373, kappa: 0.3464, kb_relative_information_score: 1889.5938, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.735, predictive_accuracy: 0.7498, prior_entropy: 0.8733, recall: 0.7498, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7689, kappa: 0.4687, kb_relative_information_score: 1551.1038, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7864, predictive_accuracy: 0.7617, prior_entropy: 0.8733, recall: 0.7617, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7712, kappa: 0.4421, kb_relative_information_score: 2230.0588, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7693, predictive_accuracy: 0.7741, prior_entropy: 0.8733, recall: 0.7741, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7825, kappa: 0.509, kb_relative_information_score: 1954.7789, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.809, predictive_accuracy: 0.7742, prior_entropy: 0.8733, recall: 0.7742, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8636, kappa: 0.6713, kb_relative_information_score: 3101.0194, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8637, predictive_accuracy: 0.8634, prior_entropy: 0.8733, recall: 0.8634, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9015, kappa: 0.7617, kb_relative_information_score: 3247.9981, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9012, predictive_accuracy: 0.9017, prior_entropy: 0.8733, recall: 0.9017, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.6006, scimark_benchmark: 1738.5126, usercpu_time_millis: 91.689, usercpu_time_millis_testing: 3.186, usercpu_time_millis_training: 88.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8923, kappa: 0.7391, kb_relative_information_score: 2933.5023, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.892, predictive_accuracy: 0.8929, prior_entropy: 0.8733, recall: 0.8929, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.633, scimark_benchmark: 1750.5705, usercpu_time_millis: 73.762, usercpu_time_millis_testing: 4.39, usercpu_time_millis_training: 69.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8293, kappa: 0.5811, kb_relative_information_score: 2201.1727, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8285, predictive_accuracy: 0.8329, prior_entropy: 0.8733, recall: 0.8329, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7502, scimark_benchmark: 1735.6941, usercpu_time_millis: 52.977, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 51.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8835, kappa: 0.7184, kb_relative_information_score: 3060.5943, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8833, predictive_accuracy: 0.8838, prior_entropy: 0.8733, recall: 0.8838, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.6364, scimark_benchmark: 2022.7487, usercpu_time_millis: 50.779, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 49.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.901, kappa: 0.7599, kb_relative_information_score: 3072.5756, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9007, predictive_accuracy: 0.9016, prior_entropy: 0.8733, recall: 0.9016, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.279, root_relative_squared_error: 0.6127, scimark_benchmark: 1727.1069, usercpu_time_millis: 47.097, usercpu_time_millis_testing: 3.572, usercpu_time_millis_training: 43.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8998, kappa: 0.7572, kb_relative_information_score: 3142.2235, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8995, predictive_accuracy: 0.9003, prior_entropy: 0.8733, recall: 0.9003, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.6097, scimark_benchmark: 1740.2238, usercpu_time_millis: 34.559, usercpu_time_millis_testing: 2, usercpu_time_millis_training: 32.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8228, kappa: 0.5638, kb_relative_information_score: 2065.5277, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8223, predictive_accuracy: 0.8274, prior_entropy: 0.8733, recall: 0.8274, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7588, scimark_benchmark: 1727.1069, usercpu_time_millis: 36.039, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 34.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8088, kappa: 0.5334, kb_relative_information_score: 1836.6999, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8074, predictive_accuracy: 0.8114, prior_entropy: 0.8733, recall: 0.8114, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7777, scimark_benchmark: 1726.1218, usercpu_time_millis: 29.674, usercpu_time_millis_testing: 1.578, usercpu_time_millis_training: 28.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8384, kappa: 0.6034, kb_relative_information_score: 2103.4655, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.838, predictive_accuracy: 0.842, prior_entropy: 0.8733, recall: 0.842, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7386, scimark_benchmark: 1731.6389, usercpu_time_millis: 29.122, usercpu_time_millis_testing: 1.972, usercpu_time_millis_training: 27.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8588, kappa: 0.6561, kb_relative_information_score: 2549.2616, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8581, predictive_accuracy: 0.8603, prior_entropy: 0.8733, recall: 0.8603, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6996, scimark_benchmark: 2017.8957, usercpu_time_millis: 18.087, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 17.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8775, kappa: 0.7028, kb_relative_information_score: 2830.2546, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.877, predictive_accuracy: 0.8782, prior_entropy: 0.8733, recall: 0.8782, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6589, scimark_benchmark: 2013.5997, usercpu_time_millis: 16.263, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 15.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8749, kappa: 0.6963, kb_relative_information_score: 2696.8778, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8744, predictive_accuracy: 0.8758, prior_entropy: 0.8733, recall: 0.8758, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6713, scimark_benchmark: 1736.0929, usercpu_time_millis: 45.709, usercpu_time_millis_testing: 2.481, usercpu_time_millis_training: 43.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8615, kappa: 0.663, kb_relative_information_score: 2388.984, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8608, predictive_accuracy: 0.8629, prior_entropy: 0.8733, recall: 0.8629, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7099, scimark_benchmark: 1703.8886, usercpu_time_millis: 44.27, usercpu_time_millis_testing: 2.918, usercpu_time_millis_training: 41.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8927, kappa: 0.7403, kb_relative_information_score: 3061.3362, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8924, predictive_accuracy: 0.893, prior_entropy: 0.8733, recall: 0.893, relative_absolute_error: 0.4488, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.626, scimark_benchmark: 1720.0398, usercpu_time_millis: 44.943, usercpu_time_millis_testing: 1.971, usercpu_time_millis_training: 42.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8754, kappa: 0.6972, kb_relative_information_score: 2667.1419, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8749, predictive_accuracy: 0.8764, prior_entropy: 0.8733, recall: 0.8764, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6757, scimark_benchmark: 1736.7474, usercpu_time_millis: 35.075, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 33.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8049, kappa: 0.5245, kb_relative_information_score: 1776.4786, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8035, predictive_accuracy: 0.8072, prior_entropy: 0.8733, recall: 0.8072, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7845, scimark_benchmark: 1743.1632, usercpu_time_millis: 31.834, usercpu_time_millis_testing: 1.902, usercpu_time_millis_training: 29.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9046, kappa: 0.7694, kb_relative_information_score: 3361.8456, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9044, predictive_accuracy: 0.9049, prior_entropy: 0.8733, recall: 0.9049, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5877, scimark_benchmark: 1732.4272, usercpu_time_millis: 31.819, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 30.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9033, kappa: 0.7664, kb_relative_information_score: 3327.3713, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9031, predictive_accuracy: 0.9034, prior_entropy: 0.8733, recall: 0.9034, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5933, scimark_benchmark: 1728.4686, usercpu_time_millis: 24.144, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 23.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7872, kappa: 0.4833, kb_relative_information_score: 1611.2144, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.786, predictive_accuracy: 0.7889, prior_entropy: 0.8733, recall: 0.7889, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.8109, scimark_benchmark: 1735.2337, usercpu_time_millis: 19.007, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 18.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8626, kappa: 0.6663, kb_relative_information_score: 2677.9745, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.862, predictive_accuracy: 0.8636, prior_entropy: 0.8733, recall: 0.8636, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6851, scimark_benchmark: 1748.6051, usercpu_time_millis: 16.466, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 16.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8363, kappa: 0.5989, kb_relative_information_score: 2181.1169, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8356, predictive_accuracy: 0.8396, prior_entropy: 0.8733, recall: 0.8396, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7487, scimark_benchmark: 1782.7624, usercpu_time_millis: 16.337, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 16.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8024, kappa: 0.5156, kb_relative_information_score: 1833.0447, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8008, predictive_accuracy: 0.8063, prior_entropy: 0.8733, recall: 0.8063, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7877, scimark_benchmark: 1780.979, usercpu_time_millis: 11.426, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 11.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8258, kappa: 0.573, kb_relative_information_score: 1993.5328, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8248, predictive_accuracy: 0.8292, prior_entropy: 0.8733, recall: 0.8292, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7603, scimark_benchmark: 1757.413, usercpu_time_millis: 10.128, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 9.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7772, kappa: 0.4586, kb_relative_information_score: 1097.7184, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7758, predictive_accuracy: 0.7791, prior_entropy: 0.8733, recall: 0.7791, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.8621, scimark_benchmark: 1783.353, usercpu_time_millis: 9.58, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 8.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.585, kb_relative_information_score: 0.1336, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1741.2779, usercpu_time_millis: 6.685, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 5.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8894, kappa: 0.7327, kb_relative_information_score: 3133.398, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8892, predictive_accuracy: 0.8897, prior_entropy: 0.8733, recall: 0.8897, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.6231, scimark_benchmark: 1830.387, usercpu_time_millis: 2.747, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 2.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7641, kappa: 0.4112, kb_relative_information_score: 1276.8202, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7654, predictive_accuracy: 0.777, prior_entropy: 0.8733, recall: 0.777, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.8358, scimark_benchmark: 1773.23, usercpu_time_millis: 3.817, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 3.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8783, kappa: 0.7051, kb_relative_information_score: 2833.7719, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8779, predictive_accuracy: 0.879, prior_entropy: 0.8733, recall: 0.879, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6585, scimark_benchmark: 1833.7089, usercpu_time_millis: 62.21, usercpu_time_millis_testing: 1.873, usercpu_time_millis_training: 60.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8671, kappa: 0.6773, kb_relative_information_score: 2688.8575, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8665, predictive_accuracy: 0.8681, prior_entropy: 0.8733, recall: 0.8681, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6814, scimark_benchmark: 1857.1082, usercpu_time_millis: 28.176, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 26.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9076, kappa: 0.7762, kb_relative_information_score: 3272.7579, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9074, predictive_accuracy: 0.908, prior_entropy: 0.8733, recall: 0.908, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.5867, scimark_benchmark: 1855.0134, usercpu_time_millis: 27.896, usercpu_time_millis_testing: 1.902, usercpu_time_millis_training: 25.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9034, kappa: 0.7658, kb_relative_information_score: 3130.7051, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9031, predictive_accuracy: 0.904, prior_entropy: 0.8733, recall: 0.904, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.6057, scimark_benchmark: 1836.0792, usercpu_time_millis: 21.704, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 20.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8822, kappa: 0.7143, kb_relative_information_score: 2845.2429, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8818, predictive_accuracy: 0.8829, prior_entropy: 0.8733, recall: 0.8829, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6534, scimark_benchmark: 1839.6613, usercpu_time_millis: 15.219, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 14.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8829, kappa: 0.7158, kb_relative_information_score: 2859.6728, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8824, predictive_accuracy: 0.8836, prior_entropy: 0.8733, recall: 0.8836, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6537, scimark_benchmark: 1849.8294, usercpu_time_millis: 13.411, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 12.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7725, kappa: 0.4508, kb_relative_information_score: 1297.2944, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7723, predictive_accuracy: 0.7728, prior_entropy: 0.8733, recall: 0.7728, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.8528, scimark_benchmark: 1839.1303, usercpu_time_millis: 16.519, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 15.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8557, kappa: 0.648, kb_relative_information_score: 2258.885, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8551, predictive_accuracy: 0.8577, prior_entropy: 0.8733, recall: 0.8577, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.7197, scimark_benchmark: 1840.8272, usercpu_time_millis: 17.431, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 15.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8431, kappa: 0.6157, kb_relative_information_score: 2146.9354, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8425, predictive_accuracy: 0.846, prior_entropy: 0.8733, recall: 0.846, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7334, scimark_benchmark: 1829.7272, usercpu_time_millis: 13.232, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 12.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9122, kappa: 0.7876, kb_relative_information_score: 3483.1721, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.912, predictive_accuracy: 0.9125, prior_entropy: 0.8733, recall: 0.9125, relative_absolute_error: 0.3715, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5698, scimark_benchmark: 1829.1442, usercpu_time_millis: 11.706, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 11.213,

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