OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13324 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9058, kappa: 0.8088, kb_relative_information_score: 369.9279, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9062, predictive_accuracy: 0.906, prior_entropy: 0.991, recall: 0.906, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 23.3031, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -4.3849, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.4057, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8941, kappa: 0.7856, kb_relative_information_score: 326.6054, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8942, predictive_accuracy: 0.894, prior_entropy: 0.991, recall: 0.894, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7795, kappa: 0.5528, kb_relative_information_score: 159.0195, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7795, predictive_accuracy: 0.78, prior_entropy: 0.991, recall: 0.78, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 250.0512, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.9264, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.7802, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, kb_relative_information_score: 68.2844, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8525, kappa: 0.7028, kb_relative_information_score: 300.1239, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8869, predictive_accuracy: 0.858, prior_entropy: 0.991, recall: 0.858, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.5985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.8767, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 3.4627, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.667, kappa: 0.3305, kb_relative_information_score: 158.8044, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6708, predictive_accuracy: 0.666, prior_entropy: 0.991, recall: 0.666, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.4541, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.6719, kappa: 0.3335, kb_relative_information_score: 107.9609, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6742, predictive_accuracy: 0.676, prior_entropy: 0.991, recall: 0.676, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -7.508, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 436.5189, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.6904, kappa: 0.3741, kb_relative_information_score: 141.1843, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6911, predictive_accuracy: 0.69, prior_entropy: 0.991, recall: 0.69, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.1903, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 376.223, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.2965, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7307, kappa: 0.4532, kb_relative_information_score: 142.5869, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.731, predictive_accuracy: 0.732, prior_entropy: 0.991, recall: 0.732, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -34.2007, mean_absolute_error: 0.5197, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0526, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.1025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.673, kappa: 0.3364, kb_relative_information_score: 100.4573, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6727, predictive_accuracy: 0.674, prior_entropy: 0.991, recall: 0.674, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8792, kappa: 0.7545, kb_relative_information_score: 268.5959, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8818, predictive_accuracy: 0.88, prior_entropy: 0.991, recall: 0.88, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 303.108, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.2932, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8654, kappa: 0.7267, kb_relative_information_score: 276.4034, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8664, predictive_accuracy: 0.866, prior_entropy: 0.991, recall: 0.866, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.1333, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.8369, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -4.6251, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9062, kappa: 0.8106, kb_relative_information_score: 359.2264, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9073, predictive_accuracy: 0.906, prior_entropy: 0.991, recall: 0.906, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.6905, kappa: 0.3747, kb_relative_information_score: 83.9466, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6915, predictive_accuracy: 0.69, prior_entropy: 0.991, recall: 0.69, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.6749, kappa: 0.3402, kb_relative_information_score: 84.6826, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6746, predictive_accuracy: 0.676, prior_entropy: 0.991, recall: 0.676, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.4101, kappa: -0.012, kb_relative_information_score: -49.86, mean_absolute_error: 0.54, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.4956, predictive_accuracy: 0.46, prior_entropy: 0.991, recall: 0.46, relative_absolute_error: 1.0937, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7348, root_relative_squared_error: 1.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -4.5084, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.6881, kappa: 0.3686, kb_relative_information_score: 96.6791, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6883, predictive_accuracy: 0.688, prior_entropy: 0.991, recall: 0.688, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.976, kappa: 0.9512, kb_relative_information_score: 389.2865, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.3078, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0223, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 385.2869, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8652, kappa: 0.7267, kb_relative_information_score: 327.6894, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8798, predictive_accuracy: 0.868, prior_entropy: 0.991, recall: 0.868, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5254, kappa: 0.0361, kb_relative_information_score: 19.377, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5242, predictive_accuracy: 0.528, prior_entropy: 0.991, recall: 0.528, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.687, root_relative_squared_error: 1.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8622, kappa: 0.7211, kb_relative_information_score: 192.9066, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8852, predictive_accuracy: 0.866, prior_entropy: 0.991, recall: 0.866, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.127, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.155, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 441.0127, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.6962, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.7632, kappa: 0.5194, kb_relative_information_score: 154.1203, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7633, predictive_accuracy: 0.764, prior_entropy: 0.991, recall: 0.764, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.5943, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.5305, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.2639, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.811, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.7357, kappa: 0.466, kb_relative_information_score: 106.6389, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.754, predictive_accuracy: 0.744, prior_entropy: 0.991, recall: 0.744, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8853, kappa: 0.7671, kb_relative_information_score: 351.1841, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8873, predictive_accuracy: 0.886, prior_entropy: 0.991, recall: 0.886, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7944, kappa: 0.5848, kb_relative_information_score: 215.0911, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7956, predictive_accuracy: 0.794, prior_entropy: 0.991, recall: 0.794, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.0842, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: -1.301, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.0876, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3592, kappa: 0.0015, kb_relative_information_score: -53.9328, mean_absolute_error: 0.544, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5087, predictive_accuracy: 0.456, prior_entropy: 0.991, recall: 0.456, relative_absolute_error: 1.1018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7376, root_relative_squared_error: 1.4845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.4439, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.8398, mean_absolute_error: 0.5059, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0246, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.8698, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9719, kappa: 0.9429, kb_relative_information_score: 173.1797, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9733, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.7474, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9141, kappa: 0.8261, kb_relative_information_score: 392.8242, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9142, predictive_accuracy: 0.914, prior_entropy: 0.991, recall: 0.914, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.759, kappa: 0.5108, kb_relative_information_score: 128.7706, mean_absolute_error: 0.3877, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7593, predictive_accuracy: 0.76, prior_entropy: 0.991, recall: 0.76, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.87, kappa: 0.7373, kb_relative_information_score: 319.18, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8973, predictive_accuracy: 0.874, prior_entropy: 0.991, recall: 0.874, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.5518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 4.4119, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.035, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.2889, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.5969, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9541, kappa: 0.9075, kb_relative_information_score: 444.2338, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9559, predictive_accuracy: 0.954, prior_entropy: 0.991, recall: 0.954, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 432.5303, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -44.5721, mean_absolute_error: 0.53, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0733, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.1932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8911, kappa: 0.7786, kb_relative_information_score: 313.7861, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8951, predictive_accuracy: 0.892, prior_entropy: 0.991, recall: 0.892, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9078, kappa: 0.813, kb_relative_information_score: 349.7127, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.991, recall: 0.908, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.8792, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.2508, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.6531, kappa: 0.3046, kb_relative_information_score: 97.3371, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6589, predictive_accuracy: 0.652, prior_entropy: 0.991, recall: 0.652, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.0012, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6808, kappa: 0.3565, kb_relative_information_score: 73.8408, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.683, predictive_accuracy: 0.68, prior_entropy: 0.991, recall: 0.68, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.0875, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7145, kappa: 0.42, kb_relative_information_score: 124.6606, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7148, predictive_accuracy: 0.716, prior_entropy: 0.991, recall: 0.716, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.2137, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.8244, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9041, kappa: 0.8059, kb_relative_information_score: 319.7747, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9043, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.6967, mean_absolute_error: 0.5097, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0323, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8061, kappa: 0.6076, kb_relative_information_score: 236.8084, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8063, predictive_accuracy: 0.806, prior_entropy: 0.991, recall: 0.806, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.3337, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.7108, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8735, kappa: 0.7431, kb_relative_information_score: 340.6355, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8745, predictive_accuracy: 0.874, prior_entropy: 0.991, recall: 0.874, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.0868, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.3133, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,

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)

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