Task
Supervised Classification on lymph

Supervised Classification on lymph

Task 3869 Supervised Classification lymph 544 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8098, kappa: 0.6152, kb_relative_information_score: 91.3932, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8114, predictive_accuracy: 0.8108, prior_entropy: 0.9937, recall: 0.8108, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.7775, kappa: 0.5529, kb_relative_information_score: 54.0466, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.7797, predictive_accuracy: 0.777, prior_entropy: 0.9937, recall: 0.777, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8447, kappa: 0.6868, kb_relative_information_score: 85.8365, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8449, predictive_accuracy: 0.8446, prior_entropy: 0.9937, recall: 0.8446, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8376, kappa: 0.6719, kb_relative_information_score: 99.3658, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8377, predictive_accuracy: 0.8378, prior_entropy: 0.9937, recall: 0.8378, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.858, kappa: 0.7133, kb_relative_information_score: 96.4167, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.858, predictive_accuracy: 0.8581, prior_entropy: 0.9937, recall: 0.8581, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.8174, kappa: 0.6314, kb_relative_information_score: 86.6865, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8174, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.7842, kappa: 0.5667, kb_relative_information_score: 84.9178, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8066, predictive_accuracy: 0.7905, prior_entropy: 0.9937, recall: 0.7905, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8171, kappa: 0.6304, kb_relative_information_score: 85.2619, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8174, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8233, kappa: 0.6427, kb_relative_information_score: 77.7236, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8251, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.7907, kappa: 0.5801, kb_relative_information_score: 80.8234, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8164, predictive_accuracy: 0.7973, prior_entropy: 0.9937, recall: 0.7973, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7677, kappa: 0.5303, kb_relative_information_score: 64.5678, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.7724, predictive_accuracy: 0.7703, prior_entropy: 0.9937, recall: 0.7703, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8171, kappa: 0.6304, kb_relative_information_score: 80.7741, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8174, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7909, kappa: 0.5789, kb_relative_information_score: 86.9146, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.7918, predictive_accuracy: 0.7905, prior_entropy: 0.9937, recall: 0.7905, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8715, kappa: 0.7406, kb_relative_information_score: 105.3234, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8715, predictive_accuracy: 0.8716, prior_entropy: 0.9937, recall: 0.8716, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7907, kappa: 0.5778, kb_relative_information_score: 84.0264, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.7909, predictive_accuracy: 0.7905, prior_entropy: 0.9937, recall: 0.7905, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8, kappa: 0.5968, kb_relative_information_score: 78.8017, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8136, predictive_accuracy: 0.8041, prior_entropy: 0.9937, recall: 0.8041, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 96.7266, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8679, predictive_accuracy: 0.8649, prior_entropy: 0.9937, recall: 0.8649, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8042, kappa: 0.6051, kb_relative_information_score: 83.9001, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8044, predictive_accuracy: 0.8041, prior_entropy: 0.9937, recall: 0.8041, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.891, kappa: 0.7796, kb_relative_information_score: 79.7123, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8955, predictive_accuracy: 0.8919, prior_entropy: 0.9937, recall: 0.8919, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.336, root_relative_squared_error: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8098, kappa: 0.6152, kb_relative_information_score: 86.1691, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8114, predictive_accuracy: 0.8108, prior_entropy: 0.9937, recall: 0.8108, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8233, kappa: 0.6427, kb_relative_information_score: 91.655, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8251, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7413,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.836, kappa: 0.6685, kb_relative_information_score: 69.1414, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8422, predictive_accuracy: 0.8378, prior_entropy: 0.9937, recall: 0.8378, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4789, f_measure: 0.3872, kb_relative_information_score: -0.0616, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 0.9937, recall: 0.5473, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8138, kappa: 0.6246, kb_relative_information_score: 85.6915, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.828, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8505, kappa: 0.6977, kb_relative_information_score: 93.8779, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8526, predictive_accuracy: 0.8514, prior_entropy: 0.9937, recall: 0.8514, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8497, kappa: 0.6961, kb_relative_information_score: 90.3263, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8561, predictive_accuracy: 0.8514, prior_entropy: 0.9937, recall: 0.8514, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8163, kappa: 0.6285, kb_relative_information_score: 82.9427, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8188, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8087, kappa: 0.6132, kb_relative_information_score: 88.9186, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8143, predictive_accuracy: 0.8108, prior_entropy: 0.9937, recall: 0.8108, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8447, kappa: 0.6868, kb_relative_information_score: 99.0954, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8449, predictive_accuracy: 0.8446, prior_entropy: 0.9937, recall: 0.8446, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.8171, kappa: 0.6304, kb_relative_information_score: 93.2897, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8174, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.7927, kappa: 0.5823, kb_relative_information_score: 87.1832, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8081, predictive_accuracy: 0.7973, prior_entropy: 0.9937, recall: 0.7973, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.8177, kappa: 0.6323, kb_relative_information_score: 93.2897, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8179, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8237, kappa: 0.6436, kb_relative_information_score: 91.2854, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8244, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8497, kappa: 0.6961, kb_relative_information_score: 78.2606, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8561, predictive_accuracy: 0.8514, prior_entropy: 0.9937, recall: 0.8514, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8042, kappa: 0.6051, kb_relative_information_score: 89.239, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8044, predictive_accuracy: 0.8041, prior_entropy: 0.9937, recall: 0.8041, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8087, kappa: 0.6132, kb_relative_information_score: 90.3491, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8143, predictive_accuracy: 0.8108, prior_entropy: 0.9937, recall: 0.8108, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8163, kappa: 0.6285, kb_relative_information_score: 82.9427, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8188, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8087, kappa: 0.6132, kb_relative_information_score: 88.9186, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8143, predictive_accuracy: 0.8108, prior_entropy: 0.9937, recall: 0.8108, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.7962, kappa: 0.5877, kb_relative_information_score: 74.1222, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.7977, predictive_accuracy: 0.7973, prior_entropy: 0.9937, recall: 0.7973, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8567, kappa: 0.7103, kb_relative_information_score: 79.9648, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.862, predictive_accuracy: 0.8581, prior_entropy: 0.9937, recall: 0.8581, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7699, kappa: 0.5352, kb_relative_information_score: 79.1121, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.7699, predictive_accuracy: 0.7703, prior_entropy: 0.9937, recall: 0.7703, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8447, kappa: 0.6868, kb_relative_information_score: 99.7212, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8449, predictive_accuracy: 0.8446, prior_entropy: 0.9937, recall: 0.8446, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7832, scimark_benchmark: 1922.3298, usercpu_time_millis: 1171.875, usercpu_time_millis_training: 1171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.7569, kappa: 0.519, kb_relative_information_score: 79.1121, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8095, predictive_accuracy: 0.7703, prior_entropy: 0.9937, recall: 0.7703, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9629, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8378, kappa: 0.6727, kb_relative_information_score: 99.3658, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8378, predictive_accuracy: 0.8378, prior_entropy: 0.9937, recall: 0.8378, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.809, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8348, kappa: 0.6667, kb_relative_information_score: 99.3658, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8478, predictive_accuracy: 0.8378, prior_entropy: 0.9937, recall: 0.8378, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.809, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8647, kappa: 0.7266, kb_relative_information_score: 107.4673, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8648, predictive_accuracy: 0.8649, prior_entropy: 0.9937, recall: 0.8649, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7385, 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: 0.8542, f_measure: 0.8247, kappa: 0.6482, kb_relative_information_score: 92.0959, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8278, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7939, scimark_benchmark: 1862.8608, usercpu_time_millis: 937.5, usercpu_time_millis_training: 937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8247, kappa: 0.6482, kb_relative_information_score: 92.0959, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8278, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7939, scimark_benchmark: 1787.9841, usercpu_time_millis: 984.375, usercpu_time_millis_training: 984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8247, kappa: 0.6482, kb_relative_information_score: 92.0959, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8278, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7939, scimark_benchmark: 1377.8363, usercpu_time_millis: 1130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8647, kappa: 0.7266, kb_relative_information_score: 107.4673, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8648, predictive_accuracy: 0.8649, prior_entropy: 0.9937, recall: 0.8649, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7385, scimark_benchmark: 1632.7698, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8348, kappa: 0.6667, kb_relative_information_score: 99.3658, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8478, predictive_accuracy: 0.8378, prior_entropy: 0.9937, recall: 0.8378, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.809, scimark_benchmark: 1378.3202, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.7569, kappa: 0.519, kb_relative_information_score: 79.1121, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8095, predictive_accuracy: 0.7703, prior_entropy: 0.9937, recall: 0.7703, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9629, scimark_benchmark: 1395.8731, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8378, kappa: 0.6727, kb_relative_information_score: 99.3658, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8378, predictive_accuracy: 0.8378, prior_entropy: 0.9937, recall: 0.8378, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.809, scimark_benchmark: 1635.9818, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8442, kappa: 0.6852, kb_relative_information_score: 99.7483, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8446, predictive_accuracy: 0.8446, prior_entropy: 0.9937, recall: 0.8446, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7651, scimark_benchmark: 1665.974, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8445, kappa: 0.686, kb_relative_information_score: 99.5353, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8445, predictive_accuracy: 0.8446, prior_entropy: 0.9937, recall: 0.8446, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7566, scimark_benchmark: 1398.2813, usercpu_time_millis: 1270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8087, kappa: 0.6132, kb_relative_information_score: 88.9186, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8143, predictive_accuracy: 0.8108, prior_entropy: 0.9937, recall: 0.8108, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7627, scimark_benchmark: 1536.2846, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 103.4165, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8512, predictive_accuracy: 0.8514, prior_entropy: 0.9937, recall: 0.8514, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7746, scimark_benchmark: 1505.8823, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8178, kappa: 0.6333, kb_relative_information_score: 92.1436, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8188, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7909, scimark_benchmark: 1288.5348, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.797, kappa: 0.5899, kb_relative_information_score: 88.4762, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.797, predictive_accuracy: 0.7973, prior_entropy: 0.9937, recall: 0.7973, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8856, scimark_benchmark: 1527.9216, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.8233, kappa: 0.6427, kb_relative_information_score: 94.678, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8251, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7951, scimark_benchmark: 1331.3792, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 92.9498, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8241, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7284, scimark_benchmark: 1181.4812, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.776, kappa: 0.5471, kb_relative_information_score: 66.9192, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.7769, predictive_accuracy: 0.777, prior_entropy: 0.9937, recall: 0.777, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8643, scimark_benchmark: 965.2264, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8373, kappa: 0.6711, kb_relative_information_score: 99.3658, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.838, predictive_accuracy: 0.8378, prior_entropy: 0.9937, recall: 0.8378, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.809, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8233, kappa: 0.6427, kb_relative_information_score: 78.5541, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8251, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7617, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 78.8844, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8679, predictive_accuracy: 0.8649, prior_entropy: 0.9937, recall: 0.8649, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6543, 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: 0.8872, f_measure: 0.7842, kappa: 0.5667, kb_relative_information_score: 84.9178, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8066, predictive_accuracy: 0.7905, prior_entropy: 0.9937, recall: 0.7905, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.824, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8158, kappa: 0.6275, kb_relative_information_score: 82.9427, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8203, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8011, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8087, kappa: 0.6132, kb_relative_information_score: 88.9186, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8143, predictive_accuracy: 0.8108, prior_entropy: 0.9937, recall: 0.8108, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7627, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 103.4165, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8512, predictive_accuracy: 0.8514, prior_entropy: 0.9937, recall: 0.8514, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7746, 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: 0.8338, f_measure: 0.8373, kappa: 0.6711, kb_relative_information_score: 99.3658, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.838, predictive_accuracy: 0.8378, prior_entropy: 0.9937, recall: 0.8378, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.809, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8044, kappa: 0.6061, kb_relative_information_score: 89.373, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 0.9937, recall: 0.8041, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8077, scimark_benchmark: 1925.3565, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.797, kappa: 0.5899, kb_relative_information_score: 88.4762, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.797, predictive_accuracy: 0.7973, prior_entropy: 0.9937, recall: 0.7973, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8856, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.8233, kappa: 0.6427, kb_relative_information_score: 94.678, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8251, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7951, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 92.9498, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8241, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7284, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7826, kappa: 0.5603, kb_relative_information_score: 70.7958, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.784, predictive_accuracy: 0.7838, prior_entropy: 0.9937, recall: 0.7838, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8586, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8233, kappa: 0.6427, kb_relative_information_score: 78.5541, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8251, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7617, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8303, kappa: 0.6569, kb_relative_information_score: 78.6001, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8315, predictive_accuracy: 0.8311, prior_entropy: 0.9937, recall: 0.8311, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6575, scimark_benchmark: 1892.0925, 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: 0.8872, f_measure: 0.7842, kappa: 0.5667, kb_relative_information_score: 84.9178, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8066, predictive_accuracy: 0.7905, prior_entropy: 0.9937, recall: 0.7905, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.824, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8158, kappa: 0.6275, kb_relative_information_score: 82.9427, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8203, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8011, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.797, kappa: 0.5899, kb_relative_information_score: 88.4763, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.797, predictive_accuracy: 0.7973, prior_entropy: 0.9937, recall: 0.7973, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8856, scimark_benchmark: 1370.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7677, kappa: 0.5303, kb_relative_information_score: 64.5678, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.7724, predictive_accuracy: 0.7703, prior_entropy: 0.9937, recall: 0.7703, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8844, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8178, kappa: 0.6333, kb_relative_information_score: 91.8909, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8188, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7914, scimark_benchmark: 1834.908, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 92.9498, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8241, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7284, 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: 0.9158, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 92.9498, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8241, predictive_accuracy: 0.8243, prior_entropy: 0.9937, recall: 0.8243, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7284, 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: 0.9104, f_measure: 0.8105, kappa: 0.6172, kb_relative_information_score: 87.071, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8106, predictive_accuracy: 0.8108, prior_entropy: 0.9937, recall: 0.8108, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7382, 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: 0.8067, f_measure: 0.7885, kappa: 0.5723, kb_relative_information_score: 68.2392, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.7925, predictive_accuracy: 0.7905, prior_entropy: 0.9937, recall: 0.7905, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8289, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.811, kappa: 0.6192, kb_relative_information_score: 76.7716, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8115, predictive_accuracy: 0.8108, prior_entropy: 0.9937, recall: 0.8108, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7811, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8177, kappa: 0.6323, kb_relative_information_score: 84.8132, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8179, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7265, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.8044, kappa: 0.6061, kb_relative_information_score: 89.239, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 0.9937, recall: 0.8041, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8893, 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: 0.8487, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 103.4165, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8512, predictive_accuracy: 0.8514, prior_entropy: 0.9937, recall: 0.8514, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7746, scimark_benchmark: 918.9985, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.797, kappa: 0.5899, kb_relative_information_score: 88.4763, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.797, predictive_accuracy: 0.7973, prior_entropy: 0.9937, recall: 0.7973, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8856, scimark_benchmark: 1032.0965, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7677, kappa: 0.5303, kb_relative_information_score: 64.5678, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.7724, predictive_accuracy: 0.7703, prior_entropy: 0.9937, recall: 0.7703, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8844, scimark_benchmark: 1026.6471, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.7971, kappa: 0.5936, kb_relative_information_score: 79.3879, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8265, predictive_accuracy: 0.8041, prior_entropy: 0.9937, recall: 0.8041, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.6999, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.766, kappa: 0.5279, kb_relative_information_score: 82.2768, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.7763, predictive_accuracy: 0.7703, prior_entropy: 0.9937, recall: 0.7703, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7379, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.7971, kappa: 0.5936, kb_relative_information_score: 83.6967, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8265, predictive_accuracy: 0.8041, prior_entropy: 0.9937, recall: 0.8041, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7372, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8571, kappa: 0.711, kb_relative_information_score: 74.5774, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8601, predictive_accuracy: 0.8581, prior_entropy: 0.9937, recall: 0.8581, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6841, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8152, kappa: 0.6265, kb_relative_information_score: 83.6201, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8223, predictive_accuracy: 0.8176, prior_entropy: 0.9937, recall: 0.8176, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7031, scimark_benchmark: 1873.1108,

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