Task
Supervised Classification on banana

Supervised Classification on banana

Task 10091 Supervised Classification banana 132 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8927, kappa: 0.7826, kb_relative_information_score: 3632.2634, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8952, predictive_accuracy: 0.8934, prior_entropy: 0.9923, recall: 0.8934, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.283, root_relative_squared_error: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7838, kappa: 0.5619, kb_relative_information_score: 2209.2878, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.7877, predictive_accuracy: 0.786, prior_entropy: 0.9923, recall: 0.786, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.69, kappa: 0.3948, kb_relative_information_score: 858.7535, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.7647, predictive_accuracy: 0.7153, prior_entropy: 0.9923, recall: 0.7153, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.889, kappa: 0.7749, kb_relative_information_score: 3556.5598, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8914, predictive_accuracy: 0.8896, prior_entropy: 0.9923, recall: 0.8896, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.6465, kappa: 0.3192, kb_relative_information_score: 1153.3599, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.7356, predictive_accuracy: 0.6817, prior_entropy: 0.9923, recall: 0.6817, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8879, kappa: 0.7732, kb_relative_information_score: 3804.46, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8881, predictive_accuracy: 0.8881, prior_entropy: 0.9923, recall: 0.8881, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8769, kappa: 0.7511, kb_relative_information_score: 3967.2852, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8769, predictive_accuracy: 0.877, prior_entropy: 0.9923, recall: 0.877, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.6017, kappa: 0.2118, kb_relative_information_score: 630.6158, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6322, predictive_accuracy: 0.6262, prior_entropy: 0.9923, recall: 0.6262, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8914, kappa: 0.7799, kb_relative_information_score: 3204.9091, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8953, predictive_accuracy: 0.8923, prior_entropy: 0.9923, recall: 0.8923, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8914, kappa: 0.7799, kb_relative_information_score: 3204.9091, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8953, predictive_accuracy: 0.8923, prior_entropy: 0.9923, recall: 0.8923, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3923, kb_relative_information_score: 473.8972, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.3044, predictive_accuracy: 0.5517, prior_entropy: 0.9923, recall: 0.5517, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6696, root_relative_squared_error: 1.3463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8887, kappa: 0.7746, kb_relative_information_score: 3900.7514, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9923, recall: 0.8889, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.278, root_relative_squared_error: 0.5589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.5814, kappa: 0.1809, kb_relative_information_score: 294.7513, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6222, predictive_accuracy: 0.6142, prior_entropy: 0.9923, recall: 0.6142, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.607, kappa: 0.2505, kb_relative_information_score: 181.6286, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6994, predictive_accuracy: 0.6509, prior_entropy: 0.9923, recall: 0.6509, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8939, kappa: 0.7849, kb_relative_information_score: 3847.9093, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8954, predictive_accuracy: 0.8943, prior_entropy: 0.9923, recall: 0.8943, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.6973, kappa: 0.387, kb_relative_information_score: 1010.3613, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.7022, predictive_accuracy: 0.7019, prior_entropy: 0.9923, recall: 0.7019, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3923, kb_relative_information_score: -0.0232, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.3044, predictive_accuracy: 0.5517, prior_entropy: 0.9923, recall: 0.5517, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4973, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8879, kappa: 0.7732, kb_relative_information_score: 3899.1721, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8881, predictive_accuracy: 0.8881, prior_entropy: 0.9923, recall: 0.8881, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.5693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.663, kappa: 0.3174, kb_relative_information_score: 1153.4442, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6666, predictive_accuracy: 0.6679, prior_entropy: 0.9923, recall: 0.6679, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8879, kappa: 0.7732, kb_relative_information_score: 3899.1721, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8881, predictive_accuracy: 0.8881, prior_entropy: 0.9923, recall: 0.8881, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.5693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8873, kappa: 0.7715, kb_relative_information_score: 3738.2507, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8896, predictive_accuracy: 0.8879, prior_entropy: 0.9923, recall: 0.8879, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.5814, kappa: 0.1809, kb_relative_information_score: 294.7509, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6222, predictive_accuracy: 0.6142, prior_entropy: 0.9923, recall: 0.6142, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.4639, kappa: 0.0261, kb_relative_information_score: 266.8312, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.5365, predictive_accuracy: 0.5536, prior_entropy: 0.9923, recall: 0.5536, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.1839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3923, kb_relative_information_score: 473.8972, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.3044, predictive_accuracy: 0.5517, prior_entropy: 0.9923, recall: 0.5517, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6696, root_relative_squared_error: 1.3463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.5814, kappa: 0.1809, kb_relative_information_score: 294.7513, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6222, predictive_accuracy: 0.6142, prior_entropy: 0.9923, recall: 0.6142, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3923, kb_relative_information_score: 473.8972, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.3044, predictive_accuracy: 0.5517, prior_entropy: 0.9923, recall: 0.5517, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6696, root_relative_squared_error: 1.3463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3923, kb_relative_information_score: 473.8972, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.3044, predictive_accuracy: 0.5517, prior_entropy: 0.9923, recall: 0.5517, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6696, root_relative_squared_error: 1.3463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8878, kappa: 0.7729, kb_relative_information_score: 3917.7137, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8879, predictive_accuracy: 0.8879, prior_entropy: 0.9923, recall: 0.8879, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8873, kappa: 0.7715, kb_relative_information_score: 3738.2507, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8896, predictive_accuracy: 0.8879, prior_entropy: 0.9923, recall: 0.8879, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.711, kappa: 0.4143, kb_relative_information_score: 1374.8522, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.7135, predictive_accuracy: 0.714, prior_entropy: 0.9923, recall: 0.714, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.5805, kappa: 0.1811, kb_relative_information_score: 287.1989, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6242, predictive_accuracy: 0.6147, prior_entropy: 0.9923, recall: 0.6147, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9026, kappa: 0.8028, kb_relative_information_score: 3906.1639, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.903, predictive_accuracy: 0.9028, prior_entropy: 0.9923, recall: 0.9028, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8899, kappa: 0.7771, kb_relative_information_score: 3859.9711, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8904, predictive_accuracy: 0.8902, prior_entropy: 0.9923, recall: 0.8902, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8706, kappa: 0.7384, kb_relative_information_score: 3906.5828, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8706, predictive_accuracy: 0.8706, prior_entropy: 0.9923, recall: 0.8706, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.9012, kappa: 0.7998, kb_relative_information_score: 4239.6955, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.9021, predictive_accuracy: 0.9015, prior_entropy: 0.9923, recall: 0.9015, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8901, kappa: 0.7775, kb_relative_information_score: 4117.825, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8901, predictive_accuracy: 0.8902, prior_entropy: 0.9923, recall: 0.8902, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8947, kappa: 0.7869, kb_relative_information_score: 4168.6044, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8949, predictive_accuracy: 0.8949, prior_entropy: 0.9923, recall: 0.8949, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3923, kb_relative_information_score: 473.8972, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.3044, predictive_accuracy: 0.5517, prior_entropy: 0.9923, recall: 0.5517, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6696, root_relative_squared_error: 1.3463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.884, kappa: 0.7653, kb_relative_information_score: 4052.8274, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8841, predictive_accuracy: 0.8842, prior_entropy: 0.9923, recall: 0.8842, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6844, usercpu_time_millis: 364.844, usercpu_time_millis_testing: 59.581, usercpu_time_millis_training: 305.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.5993, kappa: 0.2206, kb_relative_information_score: 1359.4895, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6539, predictive_accuracy: 0.634, prior_entropy: 0.9923, recall: 0.634, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2165, usercpu_time_millis: 166.427, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 165.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8739, kappa: 0.7447, kb_relative_information_score: 3945.1751, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8741, predictive_accuracy: 0.8742, prior_entropy: 0.9923, recall: 0.8742, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7133, usercpu_time_millis: 8.178, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 7.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8929, kappa: 0.783, kb_relative_information_score: 4150.3238, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8937, predictive_accuracy: 0.8932, prior_entropy: 0.9923, recall: 0.8932, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6571, usercpu_time_millis: 8.537, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 8.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7519, kappa: 0.4987, kb_relative_information_score: 2628.9738, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.752, predictive_accuracy: 0.7519, prior_entropy: 0.9923, recall: 0.7519, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0016, usercpu_time_millis: 193.093, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 192.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.9033, kappa: 0.8041, kb_relative_information_score: 4264.0696, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.9049, predictive_accuracy: 0.9038, prior_entropy: 0.9923, recall: 0.9038, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6238, usercpu_time_millis: 13.781, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 13.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.476, kappa: 0.0403, kb_relative_information_score: 553.113, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.5496, predictive_accuracy: 0.5591, prior_entropy: 0.9923, recall: 0.5591, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.664, root_relative_squared_error: 1.3352, usercpu_time_millis: 0.927, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5369, f_measure: 0.543, kappa: 0.0753, kb_relative_information_score: 471.866, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.544, predictive_accuracy: 0.5515, prior_entropy: 0.9923, recall: 0.5515, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6697, root_relative_squared_error: 1.3466, usercpu_time_millis: 2.571, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 2.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.476, kappa: 0.0349, kb_relative_information_score: 518.583, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.5416, predictive_accuracy: 0.5558, prior_entropy: 0.9923, recall: 0.5558, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6664, root_relative_squared_error: 1.3401, usercpu_time_millis: 0.709, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8407, kappa: 0.6771, kb_relative_information_score: 3593.7819, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8422, predictive_accuracy: 0.8415, prior_entropy: 0.9923, recall: 0.8415, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8005, usercpu_time_millis: 0.438, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8904, kappa: 0.7783, kb_relative_information_score: 4121.8874, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8905, predictive_accuracy: 0.8906, prior_entropy: 0.9923, recall: 0.8906, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6652, usercpu_time_millis: 34.545, usercpu_time_millis_testing: 2.234, usercpu_time_millis_training: 32.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8882, kappa: 0.7736, kb_relative_information_score: 4101.5756, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8893, predictive_accuracy: 0.8887, prior_entropy: 0.9923, recall: 0.8887, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6709, usercpu_time_millis: 9.688, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 9.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8938, kappa: 0.7851, kb_relative_information_score: 4158.4485, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9923, recall: 0.894, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6548, usercpu_time_millis: 21.032, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 20.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5967, kappa: 0.2044, kb_relative_information_score: 963.4103, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6118, predictive_accuracy: 0.5972, prior_entropy: 0.9923, recall: 0.5972, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6347, root_relative_squared_error: 1.2762, usercpu_time_millis: 77.15, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 77.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5186, f_measure: 0.4746, kappa: 0.04, kb_relative_information_score: 555.1442, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.5504, predictive_accuracy: 0.5592, prior_entropy: 0.9923, recall: 0.5592, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3349, usercpu_time_millis: 0.89, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5962, kappa: 0.2019, kb_relative_information_score: 1229.4943, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6274, predictive_accuracy: 0.6219, prior_entropy: 0.9923, recall: 0.6219, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6149, root_relative_squared_error: 1.2364, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3923, kb_relative_information_score: 473.8972, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.3044, predictive_accuracy: 0.5517, prior_entropy: 0.9923, recall: 0.5517, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6696, root_relative_squared_error: 1.3463, usercpu_time_millis: 5.474, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 5.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.4755, kappa: 0.0416, kb_relative_information_score: 563.2689, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.5522, predictive_accuracy: 0.56, prior_entropy: 0.9923, recall: 0.56, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3338, usercpu_time_millis: 0.713, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.4747, kappa: 0.0387, kb_relative_information_score: 547.0195, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.5483, predictive_accuracy: 0.5585, prior_entropy: 0.9923, recall: 0.5585, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6645, root_relative_squared_error: 1.3361, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.8686, kappa: 0.7338, kb_relative_information_score: 3890.3334, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8694, predictive_accuracy: 0.8691, prior_entropy: 0.9923, recall: 0.8691, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7276, usercpu_time_millis: 2.754, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 2.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.7742, kappa: 0.5453, kb_relative_information_score: 2943.8059, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.796, predictive_accuracy: 0.7811, prior_entropy: 0.9923, recall: 0.7811, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9407, usercpu_time_millis: 4.821, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 4.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6749, kappa: 0.3414, kb_relative_information_score: 1849.0026, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6785, predictive_accuracy: 0.6794, prior_entropy: 0.9923, recall: 0.6794, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.1385, usercpu_time_millis: 1.209, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.5809, kappa: 0.18, kb_relative_information_score: 1142.1537, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.6218, predictive_accuracy: 0.6138, prior_entropy: 0.9923, recall: 0.6138, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6215, root_relative_squared_error: 1.2496, usercpu_time_millis: 1.477, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 0.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.5251, kappa: 0.042, kb_relative_information_score: 323.5902, mean_absolute_error: 0.4623, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.5274, predictive_accuracy: 0.5377, prior_entropy: 0.9923, recall: 0.5377, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6799, root_relative_squared_error: 1.3671, usercpu_time_millis: 1.272, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8969, kappa: 0.7912, kb_relative_information_score: 4192.9785, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8974, predictive_accuracy: 0.8972, prior_entropy: 0.9923, recall: 0.8972, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6448, usercpu_time_millis: 607.13, usercpu_time_millis_testing: 131.093, usercpu_time_millis_training: 476.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8652, kappa: 0.7271, kb_relative_information_score: 3851.7411, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8654, predictive_accuracy: 0.8655, prior_entropy: 0.9923, recall: 0.8655, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7375, usercpu_time_millis: 72.92, usercpu_time_millis_testing: 3.744, usercpu_time_millis_training: 69.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.4747, kappa: 0.0387, kb_relative_information_score: 547.0195, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.5483, predictive_accuracy: 0.5585, prior_entropy: 0.9923, recall: 0.5585, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6645, root_relative_squared_error: 1.3361, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.8119, kappa: 0.6187, kb_relative_information_score: 3285.0433, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.8131, predictive_accuracy: 0.8128, prior_entropy: 0.9923, recall: 0.8128, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8699, usercpu_time_millis: 12.532, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 12.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.4728, kappa: 0.0454, kb_relative_information_score: 593.7365, mean_absolute_error: 0.4372, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.5616, predictive_accuracy: 0.5628, prior_entropy: 0.9923, recall: 0.5628, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6612, root_relative_squared_error: 1.3295, usercpu_time_millis: 4.854, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 4.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.4747, kappa: 0.0387, kb_relative_information_score: 547.0195, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.5483, predictive_accuracy: 0.5585, prior_entropy: 0.9923, recall: 0.5585, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6645, root_relative_squared_error: 1.3361, usercpu_time_millis: 0.758, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5184, f_measure: 0.4751, kappa: 0.0396, kb_relative_information_score: 551.0818, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4947, number_of_instances: 5300, precision: 0.5492, predictive_accuracy: 0.5589, prior_entropy: 0.9923, recall: 0.5589, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6642, root_relative_squared_error: 1.3355, usercpu_time_millis: 0.082, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.073,

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