Task
Supervised Classification on fri_c3_250_5

Supervised Classification on fri_c3_250_5

Task 3610 Supervised Classification fri_c3_250_5 626 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7127, kappa: 0.4134, kb_relative_information_score: 74.2502, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7147, predictive_accuracy: 0.716, prior_entropy: 0.9883, recall: 0.716, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8433, kappa: 0.6805, kb_relative_information_score: 151.243, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9883, recall: 0.844, relative_absolute_error: 0.4142, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7364, kappa: 0.4618, kb_relative_information_score: 63.7868, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7399, predictive_accuracy: 0.74, prior_entropy: 0.9883, recall: 0.74, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.8124, kappa: 0.6197, kb_relative_information_score: 134.9842, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8135, predictive_accuracy: 0.812, prior_entropy: 0.9883, recall: 0.812, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.7256, kappa: 0.4399, kb_relative_information_score: 73.2927, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7267, predictive_accuracy: 0.728, prior_entropy: 0.9883, recall: 0.728, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8761, kappa: 0.7481, kb_relative_information_score: 164.8895, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9883, recall: 0.876, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.6971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8792, kappa: 0.7534, kb_relative_information_score: 186.5129, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8813, predictive_accuracy: 0.88, prior_entropy: 0.9883, recall: 0.88, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7083, kappa: 0.4045, kb_relative_information_score: 77.2474, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7107, predictive_accuracy: 0.712, prior_entropy: 0.9883, recall: 0.712, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.872, kappa: 0.7397, kb_relative_information_score: 154.8575, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9883, recall: 0.872, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8717, kappa: 0.7386, kb_relative_information_score: 158.6773, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 0.9883, recall: 0.872, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.6906, kappa: 0.3691, kb_relative_information_score: 59.5918, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6903, predictive_accuracy: 0.692, prior_entropy: 0.9883, recall: 0.692, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.6906, kappa: 0.3691, kb_relative_information_score: 59.5918, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6903, predictive_accuracy: 0.692, prior_entropy: 0.9883, recall: 0.692, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8674, kappa: 0.7296, kb_relative_information_score: 153.5003, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 0.9883, recall: 0.868, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.6764, kappa: 0.3403, kb_relative_information_score: 83.8178, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6832, predictive_accuracy: 0.684, prior_entropy: 0.9883, recall: 0.684, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8558, kappa: 0.7066, kb_relative_information_score: 162.6705, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9883, recall: 0.856, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8109, kappa: 0.6141, kb_relative_information_score: 98.8513, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9883, recall: 0.812, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.4068, kb_relative_information_score: -0.04, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9883, recall: 0.564, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.888, kappa: 0.7723, kb_relative_information_score: 155.9096, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9883, recall: 0.888, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8522, kappa: 0.7, kb_relative_information_score: 154.1167, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8527, predictive_accuracy: 0.852, prior_entropy: 0.9883, recall: 0.852, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8522, kappa: 0.7, kb_relative_information_score: 154.1167, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8527, predictive_accuracy: 0.852, prior_entropy: 0.9883, recall: 0.852, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8439, kappa: 0.6825, kb_relative_information_score: 162.181, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9883, recall: 0.844, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7337, kappa: 0.4564, kb_relative_information_score: 65.7413, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7349, predictive_accuracy: 0.736, prior_entropy: 0.9883, recall: 0.736, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.6853, kappa: 0.3576, kb_relative_information_score: 62.6752, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6858, predictive_accuracy: 0.688, prior_entropy: 0.9883, recall: 0.688, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6685, kappa: 0.3232, kb_relative_information_score: 82.0715, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6693, predictive_accuracy: 0.672, prior_entropy: 0.9883, recall: 0.672, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7337, kappa: 0.4564, kb_relative_information_score: 65.7413, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7349, predictive_accuracy: 0.736, prior_entropy: 0.9883, recall: 0.736, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7164, kappa: 0.421, kb_relative_information_score: 66.1001, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7189, predictive_accuracy: 0.72, prior_entropy: 0.9883, recall: 0.72, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8721, kappa: 0.7403, kb_relative_information_score: 159.8906, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 0.9883, recall: 0.872, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.6708, kappa: 0.3279, kb_relative_information_score: 84.1188, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6736, predictive_accuracy: 0.676, prior_entropy: 0.9883, recall: 0.676, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8275, kappa: 0.6484, kb_relative_information_score: 137.6344, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9883, recall: 0.828, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.6708, kappa: 0.3279, kb_relative_information_score: 84.1188, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6736, predictive_accuracy: 0.676, prior_entropy: 0.9883, recall: 0.676, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8439, kappa: 0.6825, kb_relative_information_score: 162.181, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9883, recall: 0.844, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7337, kappa: 0.4564, kb_relative_information_score: 65.7413, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7349, predictive_accuracy: 0.736, prior_entropy: 0.9883, recall: 0.736, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8439, kappa: 0.6825, kb_relative_information_score: 143.4604, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9883, recall: 0.844, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8564, kappa: 0.709, kb_relative_information_score: 148.6594, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8577, predictive_accuracy: 0.856, prior_entropy: 0.9883, recall: 0.856, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.8034, kappa: 0.5994, kb_relative_information_score: 149.6334, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8035, predictive_accuracy: 0.804, prior_entropy: 0.9883, recall: 0.804, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.5237, kappa: 0.0311, kb_relative_information_score: 6.3202, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.5235, predictive_accuracy: 0.524, prior_entropy: 0.9883, recall: 0.524, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6899, root_relative_squared_error: 1.3913, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.8314, kappa: 0.6563, kb_relative_information_score: 163.9648, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8317, predictive_accuracy: 0.832, prior_entropy: 0.9883, recall: 0.832, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8266, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.5237, kappa: 0.0311, kb_relative_information_score: 6.3202, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.5235, predictive_accuracy: 0.524, prior_entropy: 0.9883, recall: 0.524, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6899, root_relative_squared_error: 1.3913, scimark_benchmark: 1620.2997, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.8314, kappa: 0.6563, kb_relative_information_score: 163.9648, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8317, predictive_accuracy: 0.832, prior_entropy: 0.9883, recall: 0.832, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8266, scimark_benchmark: 1362.2048, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.7472, kappa: 0.4849, kb_relative_information_score: 81.3791, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7471, predictive_accuracy: 0.748, prior_entropy: 0.9883, recall: 0.748, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8767, scimark_benchmark: 1908.2191, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.6754, kappa: 0.3391, kb_relative_information_score: 57.2121, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6751, predictive_accuracy: 0.676, prior_entropy: 0.9883, recall: 0.676, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9076, scimark_benchmark: 1908.2191, usercpu_time_millis: 468.75, usercpu_time_millis_training: 468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7071, kappa: 0.4207, kb_relative_information_score: 112.7815, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7815, predictive_accuracy: 0.732, prior_entropy: 0.9883, recall: 0.732, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.044, scimark_benchmark: 1827.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.6617, kappa: 0.3096, kb_relative_information_score: 77.9768, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6615, predictive_accuracy: 0.664, prior_entropy: 0.9883, recall: 0.664, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1689, scimark_benchmark: 1827.4462, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9398, kappa: 0.8774, kb_relative_information_score: 206.2281, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.9404, predictive_accuracy: 0.94, prior_entropy: 0.9883, recall: 0.94, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4472, scimark_benchmark: 1429.2964, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.6754, kappa: 0.3391, kb_relative_information_score: 57.2105, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6751, predictive_accuracy: 0.676, prior_entropy: 0.9883, recall: 0.676, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9076, scimark_benchmark: 1871.4229,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8403, kappa: 0.676, kb_relative_information_score: 143.7017, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.841, predictive_accuracy: 0.84, prior_entropy: 0.9883, recall: 0.84, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6961, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.888, kappa: 0.7723, kb_relative_information_score: 155.9096, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9883, recall: 0.888, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6372, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.948, kappa: 0.8944, kb_relative_information_score: 223.3374, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.9481, predictive_accuracy: 0.948, prior_entropy: 0.9883, recall: 0.948, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.832, kappa: 0.6584, kb_relative_information_score: 163.9648, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9883, recall: 0.832, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8758, kappa: 0.7471, kb_relative_information_score: 186.4854, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9883, recall: 0.876, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7488, kappa: 0.4924, kb_relative_information_score: 120.9708, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7516, predictive_accuracy: 0.748, prior_entropy: 0.9883, recall: 0.748, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.6567, kappa: 0.2992, kb_relative_information_score: 75.9295, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.657, predictive_accuracy: 0.66, prior_entropy: 0.9883, recall: 0.66, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1759, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.6636, kappa: 0.3154, kb_relative_information_score: 77.9768, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.6633, predictive_accuracy: 0.664, prior_entropy: 0.9883, recall: 0.664, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1689, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7847, kappa: 0.5644, kb_relative_information_score: 121.2098, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7869, predictive_accuracy: 0.784, prior_entropy: 0.9883, recall: 0.784, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8386, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.8119, kappa: 0.6173, kb_relative_information_score: 133.4191, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8118, predictive_accuracy: 0.812, prior_entropy: 0.9883, recall: 0.812, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8131, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7067, kappa: 0.4019, kb_relative_information_score: 66.6965, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7065, predictive_accuracy: 0.708, prior_entropy: 0.9883, recall: 0.708, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9219, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.7256, kappa: 0.4399, kb_relative_information_score: 73.2927, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7267, predictive_accuracy: 0.728, prior_entropy: 0.9883, recall: 0.728, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9201, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.8243, kappa: 0.6436, kb_relative_information_score: 143.8297, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8251, predictive_accuracy: 0.824, prior_entropy: 0.9883, recall: 0.824, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7879, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8439, kappa: 0.6825, kb_relative_information_score: 162.181, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9883, recall: 0.844, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7579, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8398, kappa: 0.674, kb_relative_information_score: 147.7357, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.8398, predictive_accuracy: 0.84, prior_entropy: 0.9883, recall: 0.84, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6817, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,

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