OpenML
Supervised Classification on cylinder-bands

Supervised Classification on cylinder-bands

Task 14968 Supervised Classification cylinder-bands 12489 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.9016, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, kb_relative_information_score: 1.3389, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.6882, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0195, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.6261, kappa: 0.2312, kb_relative_information_score: 54.9967, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6252, predictive_accuracy: 0.6278, prior_entropy: 0.9826, recall: 0.6278, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.021, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.6781, kappa: 0.3426, kb_relative_information_score: 85.7067, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7043, predictive_accuracy: 0.6963, prior_entropy: 0.9826, recall: 0.6963, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.7151, kappa: 0.4169, kb_relative_information_score: 109.7008, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7413, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.5046, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.7821, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.677, kappa: 0.3343, kb_relative_information_score: 156.7242, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6823, predictive_accuracy: 0.6852, prior_entropy: 0.9826, recall: 0.6852, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.6984, kappa: 0.378, kb_relative_information_score: 110.9067, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7011, predictive_accuracy: 0.7037, prior_entropy: 0.9826, recall: 0.7037, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.674, kappa: 0.3395, kb_relative_information_score: 150.6934, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6797, predictive_accuracy: 0.6722, prior_entropy: 0.9826, recall: 0.6722, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7349, kappa: 0.4563, kb_relative_information_score: 229.8117, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7347, predictive_accuracy: 0.7352, prior_entropy: 0.9826, recall: 0.7352, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.6543, kappa: 0.2873, kb_relative_information_score: 95.9126, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6548, predictive_accuracy: 0.6593, prior_entropy: 0.9826, recall: 0.6593, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7286, kappa: 0.4412, kb_relative_information_score: 144.4425, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7401, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.6127, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.5377, kappa: 0.1464, kb_relative_information_score: 37.4105, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7499, predictive_accuracy: 0.6315, prior_entropy: 0.9826, recall: 0.6315, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7618, kappa: 0.509, kb_relative_information_score: 191.3358, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.764, predictive_accuracy: 0.7648, prior_entropy: 0.9826, recall: 0.7648, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.3567, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6195, kappa: 0.2227, kb_relative_information_score: 46.9372, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6209, predictive_accuracy: 0.6185, prior_entropy: 0.9826, recall: 0.6185, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.6936, kappa: 0.3683, kb_relative_information_score: 150.1496, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6951, predictive_accuracy: 0.6981, prior_entropy: 0.9826, recall: 0.6981, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -4.7199, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.8015, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0159, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.9066, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 21.5191, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -106.2559, mean_absolute_error: 0.5778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.1841, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7601, root_relative_squared_error: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.7929, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 3.7765, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.754, kappa: 0.4936, kb_relative_information_score: 242.9781, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7541, predictive_accuracy: 0.7556, prior_entropy: 0.9826, recall: 0.7556, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6208, kappa: 0.2205, kb_relative_information_score: 76.7338, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6284, predictive_accuracy: 0.6352, prior_entropy: 0.9826, recall: 0.6352, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7604, kappa: 0.506, kb_relative_information_score: 174.3676, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7654, predictive_accuracy: 0.7648, prior_entropy: 0.9826, recall: 0.7648, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6808, kappa: 0.3422, kb_relative_information_score: 93.0693, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6863, predictive_accuracy: 0.6889, prior_entropy: 0.9826, recall: 0.6889, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -1.7769, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.1415, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6808, kappa: 0.3422, kb_relative_information_score: 83.4881, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6863, predictive_accuracy: 0.6889, prior_entropy: 0.9826, recall: 0.6889, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.4976, kappa: -0.0263, kb_relative_information_score: -23.4117, mean_absolute_error: 0.5037, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.4992, predictive_accuracy: 0.4963, prior_entropy: 0.9826, recall: 0.4963, relative_absolute_error: 1.0323, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7097, root_relative_squared_error: 1.4369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -39.0659, mean_absolute_error: 0.5124, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.0502, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.0453, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0162, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7306, kappa: 0.4449, kb_relative_information_score: 218.6839, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7314, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.4546, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -19.6006, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0232, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.3965, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.0917, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, kb_relative_information_score: -51.14, mean_absolute_error: 0.5217, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.0692, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5399, root_relative_squared_error: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 38.8973, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.6113, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.4076, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.4775, kappa: 0.0073, kb_relative_information_score: -37.9094, mean_absolute_error: 0.5167, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5163, predictive_accuracy: 0.4833, prior_entropy: 0.9826, recall: 0.4833, relative_absolute_error: 1.0589, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7188, root_relative_squared_error: 1.4553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.6706, kappa: 0.3382, kb_relative_information_score: 68.268, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7293, predictive_accuracy: 0.7, prior_entropy: 0.9826, recall: 0.7, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -19.4477, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 6.9564, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.1365, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.4163, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.1429, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.7437, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 6.845, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 3.8735, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.6257, kappa: 0.2324, kb_relative_information_score: 64.02, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6255, predictive_accuracy: 0.6259, prior_entropy: 0.9826, recall: 0.6259, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.6906, kappa: 0.3727, kb_relative_information_score: 171.6958, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.696, predictive_accuracy: 0.6889, prior_entropy: 0.9826, recall: 0.6889, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -2.1685, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.6425, kappa: 0.2633, kb_relative_information_score: 86.7613, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.642, predictive_accuracy: 0.6463, prior_entropy: 0.9826, recall: 0.6463, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.1509, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.6706, kappa: 0.3213, kb_relative_information_score: 89.3288, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6765, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.4333, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -10.5758, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0121, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.3543, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7836, kappa: 0.5545, kb_relative_information_score: 233.2416, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7842, predictive_accuracy: 0.7852, prior_entropy: 0.9826, recall: 0.7852, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.1994, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.5677, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.4753, kappa: 0.0653, kb_relative_information_score: 26.1383, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7643, predictive_accuracy: 0.6019, prior_entropy: 0.9826, recall: 0.6019, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.9286, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6717, kappa: 0.3262, kb_relative_information_score: 150.5005, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6713, predictive_accuracy: 0.6722, prior_entropy: 0.9826, recall: 0.6722, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.6905, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.9592, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0199, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.8534, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -1.5689, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.1435, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -14.8585, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0172, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.6593, kappa: 0.2987, kb_relative_information_score: 105.0572, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6671, predictive_accuracy: 0.6704, prior_entropy: 0.9826, recall: 0.6704, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 2.1008, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.756, kappa: 0.4971, kb_relative_information_score: 181.8969, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7584, predictive_accuracy: 0.7593, prior_entropy: 0.9826, recall: 0.7593, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, f_measure: 0.6065, kappa: 0.1958, kb_relative_information_score: 99.5748, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6078, predictive_accuracy: 0.6056, prior_entropy: 0.9826, recall: 0.6056, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6243, root_relative_squared_error: 1.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.7881, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 41.6325, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5456, root_relative_squared_error: 1.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.6067, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.4315, kappa: 0.0101, kb_relative_information_score: -4.3179, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7573, predictive_accuracy: 0.5815, prior_entropy: 0.9826, recall: 0.5815, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.4958, kappa: -0.0131, kb_relative_information_score: 26.2949, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5037, predictive_accuracy: 0.5407, prior_entropy: 0.9826, recall: 0.5407, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.3721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 31.754, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9459, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 3.2196, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.5709, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7452, kappa: 0.476, kb_relative_information_score: 183.2943, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7449, predictive_accuracy: 0.7463, prior_entropy: 0.9826, recall: 0.7463, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.6222, kappa: 0.221, kb_relative_information_score: 87.9847, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6219, predictive_accuracy: 0.6278, prior_entropy: 0.9826, recall: 0.6278, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 34.0965, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.0675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.6834, kappa: 0.3677, kb_relative_information_score: 107.5816, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.76, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 8.9669, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -14.9551, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0174, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.243, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.6675, kappa: 0.3153, kb_relative_information_score: 86.7921, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.675, predictive_accuracy: 0.6778, prior_entropy: 0.9826, recall: 0.6778, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.5642, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0109, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -6.2301, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.001,

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