Task
Supervised Classification on echoMonths

Supervised Classification on echoMonths

Task 3807 Supervised Classification echoMonths 519 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 54.001, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 56.7409, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 53.4834, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.7587, kappa: 0.5215, kb_relative_information_score: 67.9788, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7717, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7521, kappa: 0.5064, kb_relative_information_score: 28.5742, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7594, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7587, kappa: 0.5215, kb_relative_information_score: 54.2271, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7717, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7743, kappa: 0.5524, kb_relative_information_score: 66.4189, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7878, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7595, kappa: 0.5217, kb_relative_information_score: 50.4184, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7687, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7203, kappa: 0.4444, kb_relative_information_score: 53.2378, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7302, predictive_accuracy: 0.7231, prior_entropy: 0.9998, recall: 0.7231, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7824, kappa: 0.5679, kb_relative_information_score: 66.0948, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7941, predictive_accuracy: 0.7846, prior_entropy: 0.9998, recall: 0.7846, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.7715, kappa: 0.5517, kb_relative_information_score: 55.11, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.802, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7527, kappa: 0.5066, kb_relative_information_score: 52.5918, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7573, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7606, kappa: 0.5222, kb_relative_information_score: 65.068, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7642, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.775, kappa: 0.5526, kb_relative_information_score: 51.2089, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7845, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7255, kappa: 0.4592, kb_relative_information_score: 46.2728, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7467, predictive_accuracy: 0.7308, prior_entropy: 0.9998, recall: 0.7308, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6591, kappa: 0.3213, kb_relative_information_score: 40.8153, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6647, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7891, kappa: 0.583, kb_relative_information_score: 59.76, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8081, predictive_accuracy: 0.7923, prior_entropy: 0.9998, recall: 0.7923, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7726, kappa: 0.5519, kb_relative_information_score: 53.1638, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7965, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 54.9692, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 76.5959, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7527, kappa: 0.5066, kb_relative_information_score: 56.3284, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7573, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7569, kappa: 0.521, kb_relative_information_score: 37.7535, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7799, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4631, f_measure: 0.3419, kb_relative_information_score: -0.116, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.2578, predictive_accuracy: 0.5077, prior_entropy: 0.9998, recall: 0.5077, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7595, kappa: 0.5217, kb_relative_information_score: 56.824, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7687, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7661, kappa: 0.5368, kb_relative_information_score: 52.9909, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7816, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 56.7252, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7447, kappa: 0.4911, kb_relative_information_score: 57.0477, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7504, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7521, kappa: 0.5064, kb_relative_information_score: 64.2593, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7594, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.5147, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.44, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7579, kappa: 0.5213, kb_relative_information_score: 51.8041, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7755, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7521, kappa: 0.5064, kb_relative_information_score: 63.8737, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7594, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7788, kappa: 0.5671, kb_relative_information_score: 58.4158, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8136, predictive_accuracy: 0.7846, prior_entropy: 0.9998, recall: 0.7846, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7505, kappa: 0.5059, kb_relative_information_score: 54.6955, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7654, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7824, kappa: 0.5679, kb_relative_information_score: 66.0371, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7941, predictive_accuracy: 0.7846, prior_entropy: 0.9998, recall: 0.7846, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7681, kappa: 0.5375, kb_relative_information_score: 62.3798, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7729, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7743, kappa: 0.5524, kb_relative_information_score: 66.6414, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7878, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, f_measure: 0.5378, kappa: 0.0758, kb_relative_information_score: 9.9596, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.5382, predictive_accuracy: 0.5385, prior_entropy: 0.9998, recall: 0.5385, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3589, scimark_benchmark: 1280.301, usercpu_time_millis: 11218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 11203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1280.301, usercpu_time_millis: 593.75, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3419, kb_relative_information_score: 1.9569, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.2578, predictive_accuracy: 0.5077, prior_entropy: 0.9998, recall: 0.5077, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7016, root_relative_squared_error: 1.4035, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 51.0819, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.893, scimark_benchmark: 1787.9841, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 51.0819, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.893, scimark_benchmark: 1581.711, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3419, kb_relative_information_score: 1.9569, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.2578, predictive_accuracy: 0.5077, prior_entropy: 0.9998, recall: 0.5077, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7016, root_relative_squared_error: 1.4035, scimark_benchmark: 1351.9507, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 1385.9714, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, f_measure: 0.5378, kappa: 0.0758, kb_relative_information_score: 9.9596, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.5382, predictive_accuracy: 0.5385, prior_entropy: 0.9998, recall: 0.5385, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3589, scimark_benchmark: 1384.9896, usercpu_time_millis: 5400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.6999, kappa: 0.3997, kb_relative_information_score: 47.4383, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9998, recall: 0.7, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9315, scimark_benchmark: 1671.2677, usercpu_time_millis: 328.125, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1599.2953, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7302, kappa: 0.4608, kb_relative_information_score: 54.7106, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7318, predictive_accuracy: 0.7308, prior_entropy: 0.9998, recall: 0.7308, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9599, scimark_benchmark: 1359.0915, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.6834, kappa: 0.368, kb_relative_information_score: 46.9767, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6863, predictive_accuracy: 0.6846, prior_entropy: 0.9998, recall: 0.6846, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9055, scimark_benchmark: 1060.9535, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7743, kappa: 0.5524, kb_relative_information_score: 66.6414, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7878, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8629, scimark_benchmark: 1260.841, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7496, kappa: 0.5057, kb_relative_information_score: 51.337, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7694, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8852, scimark_benchmark: 1296.2762, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 52.7213, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 1187.2821, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.6922, kappa: 0.3851, kb_relative_information_score: 49.364, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6933, predictive_accuracy: 0.6923, prior_entropy: 0.9998, recall: 0.6923, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1003, scimark_benchmark: 1190.7215, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7148, kappa: 0.43, kb_relative_information_score: 51.4226, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7163, predictive_accuracy: 0.7154, prior_entropy: 0.9998, recall: 0.7154, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9405, scimark_benchmark: 1220.8756, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7715, kappa: 0.5517, kb_relative_information_score: 54.1177, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.802, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8083, scimark_benchmark: 578.6317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7726, kappa: 0.5519, kb_relative_information_score: 58.1227, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7965, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8001, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7601, kappa: 0.5219, kb_relative_information_score: 54.2874, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7662, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.801, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7743, kappa: 0.5524, kb_relative_information_score: 66.4189, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7878, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8645, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7372, kappa: 0.4758, kb_relative_information_score: 55.8399, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7416, predictive_accuracy: 0.7385, prior_entropy: 0.9998, recall: 0.7385, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8679, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7743, kappa: 0.5524, kb_relative_information_score: 66.6414, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7878, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8629, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7496, kappa: 0.5057, kb_relative_information_score: 51.3372, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7694, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8852, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 52.7213, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.6922, kappa: 0.3851, kb_relative_information_score: 49.364, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6933, predictive_accuracy: 0.6923, prior_entropy: 0.9998, recall: 0.6923, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1003, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7148, kappa: 0.43, kb_relative_information_score: 51.4226, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7163, predictive_accuracy: 0.7154, prior_entropy: 0.9998, recall: 0.7154, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9405, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7809, kappa: 0.5675, kb_relative_information_score: 56.0784, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8023, predictive_accuracy: 0.7846, prior_entropy: 0.9998, recall: 0.7846, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8012, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7726, kappa: 0.5519, kb_relative_information_score: 58.1227, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7965, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8001, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7676, kappa: 0.5373, kb_relative_information_score: 54.2205, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7752, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8016, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7743, kappa: 0.5524, kb_relative_information_score: 66.4189, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7878, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8645, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7372, kappa: 0.4758, kb_relative_information_score: 55.8399, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7416, predictive_accuracy: 0.7385, prior_entropy: 0.9998, recall: 0.7385, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8679, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 52.7213, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.7715, kappa: 0.5517, kb_relative_information_score: 55.11, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.802, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8003, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.7496, kappa: 0.5057, kb_relative_information_score: 51.6125, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7694, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8851, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7148, kappa: 0.43, kb_relative_information_score: 51.4226, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7163, predictive_accuracy: 0.7154, prior_entropy: 0.9998, recall: 0.7154, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9405, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7148, kappa: 0.43, kb_relative_information_score: 51.4226, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7163, predictive_accuracy: 0.7154, prior_entropy: 0.9998, recall: 0.7154, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9405, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7358, kappa: 0.4753, kb_relative_information_score: 47.8553, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7462, predictive_accuracy: 0.7385, prior_entropy: 0.9998, recall: 0.7385, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8646, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 56.7409, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7757, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7862, kappa: 0.5824, kb_relative_information_score: 55.9333, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8256, predictive_accuracy: 0.7923, prior_entropy: 0.9998, recall: 0.7923, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7876, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7862, kappa: 0.5824, kb_relative_information_score: 57.2781, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8256, predictive_accuracy: 0.7923, prior_entropy: 0.9998, recall: 0.7923, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7778, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 916.989, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1286.0655, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7447, kappa: 0.4911, kb_relative_information_score: 51.5924, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7504, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8216, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6999, kappa: 0.4003, kb_relative_information_score: 40.3224, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7006, predictive_accuracy: 0.7, prior_entropy: 0.9998, recall: 0.7, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9741, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.6642, kappa: 0.341, kb_relative_information_score: 53.6417, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.683, predictive_accuracy: 0.6692, prior_entropy: 0.9998, recall: 0.6692, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9579, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7652, kappa: 0.5366, kb_relative_information_score: 51.154, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7858, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8296, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7076, kappa: 0.415, kb_relative_information_score: 47.8258, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7078, predictive_accuracy: 0.7077, prior_entropy: 0.9998, recall: 0.7077, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.866, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7661, kappa: 0.5368, kb_relative_information_score: 52.9909, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7816, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8503, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7946, kappa: 0.598, kb_relative_information_score: 58.1757, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8307, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7709, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7809, kappa: 0.5675, kb_relative_information_score: 58.9389, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8023, predictive_accuracy: 0.7846, prior_entropy: 0.9998, recall: 0.7846, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7936, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7735, kappa: 0.5522, kb_relative_information_score: 55.0402, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7918, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8249, scimark_benchmark: 1870.7932,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs