OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 146818 Supervised Classification Australian 4202 runs submitted
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4202 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8497, kappa: 0.6989, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.8568, kappa: 0.7107, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8576, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8756, kappa: 0.7488, kb_relative_information_score: 441.5778, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8765, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.854, kappa: 0.7081, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.4014, kappa: 0.0014, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5307, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8567, kappa: 0.7104, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.864, kappa: 0.7256, kb_relative_information_score: 420.9809, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8237, kappa: 0.6421, kb_relative_information_score: 443.6993, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.825, predictive_accuracy: 0.8246, prior_entropy: 0.9913, recall: 0.8246, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8482, kappa: 0.6975, kb_relative_information_score: 476.2633, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8669, kappa: 0.7314, kb_relative_information_score: 423.8513, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8143, kappa: 0.6237, kb_relative_information_score: 429.4526, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8142, predictive_accuracy: 0.8145, prior_entropy: 0.9913, recall: 0.8145, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.867, kappa: 0.7316, kb_relative_information_score: 423.8071, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8684, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8652, kappa: 0.727, kb_relative_information_score: 430.642, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8652, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.8538, kappa: 0.7047, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8545, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 436.6592, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8553, kappa: 0.7123, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8695, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8495, kappa: 0.6958, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8501, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8681, kappa: 0.7329, kb_relative_information_score: 434.1768, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.8572, kappa: 0.7102, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8586, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.874, kappa: 0.7453, kb_relative_information_score: 435.5062, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8744, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8554, kappa: 0.7122, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8686, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8667, kappa: 0.7301, kb_relative_information_score: 430.1316, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8596, kappa: 0.7164, kb_relative_information_score: 408.4931, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8603, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7927, kappa: 0.58, kb_relative_information_score: 405.0295, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.805, predictive_accuracy: 0.7971, prior_entropy: 0.9913, recall: 0.7971, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.8465, kappa: 0.6896, kb_relative_information_score: 474.2281, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8468, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8624, kappa: 0.7215, kb_relative_information_score: 388.5199, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8625, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 406.8095, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8726, kappa: 0.7423, kb_relative_information_score: 443.8411, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8728, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8755, kappa: 0.7483, kb_relative_information_score: 430.4579, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8759, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.451, kappa: 0.0407, kb_relative_information_score: 83.4598, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5966, predictive_accuracy: 0.5681, prior_entropy: 0.9913, recall: 0.5681, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7442, kappa: 0.4864, kb_relative_information_score: 346.0072, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7747, predictive_accuracy: 0.7551, prior_entropy: 0.9913, recall: 0.7551, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8059, kappa: 0.6073, kb_relative_information_score: 417.241, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 0.9913, recall: 0.8058, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8525, kappa: 0.7062, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8649, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8624, kappa: 0.7215, kb_relative_information_score: 440.1126, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8625, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.874, kappa: 0.7453, kb_relative_information_score: 443.8006, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8744, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 444.1532, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8666, kappa: 0.7299, kb_relative_information_score: 440.2708, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8666, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.8538, kappa: 0.7047, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8545, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.7119, kappa: 0.4288, kb_relative_information_score: 311.408, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7642, predictive_accuracy: 0.7304, prior_entropy: 0.9913, recall: 0.7304, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8511, kappa: 0.7031, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8623, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8592, kappa: 0.7146, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 433.0046, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8667, kappa: 0.7301, kb_relative_information_score: 438.647, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.8098, kappa: 0.6145, kb_relative_information_score: 423.3468, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8098, predictive_accuracy: 0.8101, prior_entropy: 0.9913, recall: 0.8101, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8525, kappa: 0.7062, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8649, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 441.0112, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.873, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.874, kappa: 0.7453, kb_relative_information_score: 441.1149, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8744, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 423.4995, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.5446, kappa: 0.1597, kb_relative_information_score: 150.6231, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6763, predictive_accuracy: 0.6159, prior_entropy: 0.9913, recall: 0.6159, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8508, kappa: 0.6983, kb_relative_information_score: 437.8938, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.851, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.4594, kappa: 0.0513, kb_relative_information_score: 89.5656, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6115, predictive_accuracy: 0.5725, prior_entropy: 0.9913, recall: 0.5725, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6539, root_relative_squared_error: 1.3157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 423.0438, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.867, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 443.4835, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.871, kappa: 0.7389, kb_relative_information_score: 437.181, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8711, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 424.051, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8501, kappa: 0.6959, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8509, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.864, kappa: 0.7251, kb_relative_information_score: 446.1597, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8681, kappa: 0.7329, kb_relative_information_score: 438.9429, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.6007, kappa: 0.2385, kb_relative_information_score: 195.3986, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6964, predictive_accuracy: 0.6478, prior_entropy: 0.9913, recall: 0.6478, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5934, root_relative_squared_error: 1.1942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8769, kappa: 0.7508, kb_relative_information_score: 431.8445, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.877, predictive_accuracy: 0.8768, prior_entropy: 0.9913, recall: 0.8768, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8541, kappa: 0.7041, kb_relative_information_score: 176.4731, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8642, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8116, kappa: 0.6186, kb_relative_information_score: 425.3821, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8116, predictive_accuracy: 0.8116, prior_entropy: 0.9913, recall: 0.8116, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8422, kappa: 0.6811, kb_relative_information_score: 436.4785, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8427, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.6079, kappa: 0.2492, kb_relative_information_score: 201.5044, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6986, predictive_accuracy: 0.6522, prior_entropy: 0.9913, recall: 0.6522, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5898, root_relative_squared_error: 1.1868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 439.1614, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8598, kappa: 0.7202, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8703, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 440.9986, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.873, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8584, kappa: 0.7161, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8646, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8452, kappa: 0.6876, kb_relative_information_score: 435.7859, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8463, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8697, kappa: 0.7364, kb_relative_information_score: 434.3858, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8699, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.8094, kappa: 0.6131, kb_relative_information_score: 425.3821, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8142, predictive_accuracy: 0.8116, prior_entropy: 0.9913, recall: 0.8116, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.8227, kappa: 0.6404, kb_relative_information_score: 441.6641, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8229, predictive_accuracy: 0.8232, prior_entropy: 0.9913, recall: 0.8232, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8668, kappa: 0.7308, kb_relative_information_score: 429.8484, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8672, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.8483, kappa: 0.6957, kb_relative_information_score: 476.2633, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8542, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.4014, kappa: 0.0014, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5307, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8711, kappa: 0.7395, kb_relative_information_score: 437.1686, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8715, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8586, kappa: 0.7131, kb_relative_information_score: 191.2976, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8685, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.8307, kappa: 0.6581, kb_relative_information_score: 451.8403, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8316, predictive_accuracy: 0.8304, prior_entropy: 0.9913, recall: 0.8304, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8611, kappa: 0.7196, kb_relative_information_score: 405.7535, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8621, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8584, kappa: 0.7152, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.862, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8511, kappa: 0.7032, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8631, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8627, kappa: 0.7231, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8646, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8682, kappa: 0.7334, kb_relative_information_score: 438.5241, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8684, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8595, kappa: 0.7158, kb_relative_information_score: 442.1403, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8597, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.328, root_relative_squared_error: 0.6601,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs