Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 27172 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_99
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27172 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9341, kappa: 0.8369, kb_relative_information_score: 25287.2953, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -298.4183, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9301, kappa: 0.8282, kb_relative_information_score: 27334.1139, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.93, predictive_accuracy: 0.9303, prior_entropy: 0.863, recall: 0.9303, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -73.9596, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1124.9349, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4519, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4377, f_measure: 0.5379, kappa: -0.1225, kb_relative_information_score: -8198.84, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5418, predictive_accuracy: 0.5341, prior_entropy: 0.863, recall: 0.5341, relative_absolute_error: 1.1416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6826, root_relative_squared_error: 1.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 104.1602, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 299.3941, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9049, kappa: 0.7679, kb_relative_information_score: 21809.7601, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9054, predictive_accuracy: 0.9044, prior_entropy: 0.863, recall: 0.9044, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.5959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -223.9405, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -20.9452, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 33.0309, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -37.371, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9102, kappa: 0.7797, kb_relative_information_score: 22937.0576, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9101, predictive_accuracy: 0.9103, prior_entropy: 0.863, recall: 0.9103, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 12.8142, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.8557, kappa: 0.6451, kb_relative_information_score: 16275.3109, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8552, predictive_accuracy: 0.8562, prior_entropy: 0.863, recall: 0.8562, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 141.9191, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -206.7771, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9142, kappa: 0.7888, kb_relative_information_score: 23374.8646, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.914, predictive_accuracy: 0.9147, prior_entropy: 0.863, recall: 0.9147, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 54.8568, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9042, kappa: 0.7654, kb_relative_information_score: 21768.6418, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9043, predictive_accuracy: 0.9042, prior_entropy: 0.863, recall: 0.9042, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -676.8581, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 26.0881, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.858, kappa: 0.6477, kb_relative_information_score: 17408.1865, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8573, predictive_accuracy: 0.86, prior_entropy: 0.863, recall: 0.86, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -291.6622, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9499, kappa: 0.8768, kb_relative_information_score: 27503.2101, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -166.4266, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -393.7793, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -3.2005, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9151, kappa: 0.7893, kb_relative_information_score: 22379.895, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9155, predictive_accuracy: 0.9164, prior_entropy: 0.863, recall: 0.9164, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -651.2487, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -63.7098, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -747.6796, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, kb_relative_information_score: 4676.1026, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9402, kappa: 0.8524, kb_relative_information_score: 25160.3872, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9401, predictive_accuracy: 0.9406, prior_entropy: 0.863, recall: 0.9406, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.944, kappa: 0.8619, kb_relative_information_score: 26400.1533, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.944, predictive_accuracy: 0.9444, prior_entropy: 0.863, recall: 0.9444, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9438, kappa: 0.8616, kb_relative_information_score: 26746.3876, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9042, kappa: 0.7655, kb_relative_information_score: 19824.5808, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9043, predictive_accuracy: 0.9041, prior_entropy: 0.863, recall: 0.9041, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 431.238, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4519, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 811.7866, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4523, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -314.5268, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -703.0062, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9082, kappa: 0.7751, kb_relative_information_score: 22437.8271, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9082, predictive_accuracy: 0.9082, prior_entropy: 0.863, recall: 0.9082, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -637.5616, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9102, kappa: 0.7803, kb_relative_information_score: 22516.4482, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9104, predictive_accuracy: 0.9101, prior_entropy: 0.863, recall: 0.9101, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.946, kappa: 0.8671, kb_relative_information_score: 26488.5193, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.9462, prior_entropy: 0.863, recall: 0.9462, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 339.778, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -2528.0919, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4566, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -128.8714, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.524, kappa: -0.0001, kb_relative_information_score: -11326.1095, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5918, predictive_accuracy: 0.5, prior_entropy: 0.863, recall: 0.5, relative_absolute_error: 1.2253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -45.2008, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -45.4742, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9493, kappa: 0.8754, kb_relative_information_score: 27922.2291, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9332, kappa: 0.8353, kb_relative_information_score: 25679.5515, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9331, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -370.9363, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1230.7558, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4519, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -152.0964, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -382.8827, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 1.8946, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 435.0038, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4519, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9065, kappa: 0.7678, kb_relative_information_score: 19603.647, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9079, prior_entropy: 0.863, recall: 0.9079, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -22.2273, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -111.1963, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 6.4409, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -44.5167, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 19.7995, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -161.4136, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9034, kappa: 0.7614, kb_relative_information_score: 20292.0291, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9031, predictive_accuracy: 0.9043, prior_entropy: 0.863, recall: 0.9043, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.271, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 95.6479, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9023, kappa: 0.7609, kb_relative_information_score: 18382.5253, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9024, predictive_accuracy: 0.9022, prior_entropy: 0.863, recall: 0.9022, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.6357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9067, kappa: 0.7686, kb_relative_information_score: 23270.9077, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9068, predictive_accuracy: 0.9081, prior_entropy: 0.863, recall: 0.9081, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -610.1673, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9298, kappa: 0.8274, kb_relative_information_score: 25463.4313, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9297, predictive_accuracy: 0.9301, prior_entropy: 0.863, recall: 0.9301, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -243.5201, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -76.2495, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9507, kappa: 0.879, kb_relative_information_score: 28179.6569, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9507, prior_entropy: 0.863, recall: 0.9507, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 24.0876, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 88.9365, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9566, kappa: 0.8935, kb_relative_information_score: 28391.7582, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -252.2792, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 38.8061, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -12.9013, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9017, kappa: 0.7604, kb_relative_information_score: 20630.8855, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9024, predictive_accuracy: 0.9012, prior_entropy: 0.863, recall: 0.9012, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.6203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -292.7984, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9031, kappa: 0.7639, kb_relative_information_score: 22456.9014, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9038, predictive_accuracy: 0.9027, prior_entropy: 0.863, recall: 0.9027, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9488, kappa: 0.8738, kb_relative_information_score: 27642.3484, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.949, prior_entropy: 0.863, recall: 0.949, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9307, kappa: 0.8283, kb_relative_information_score: 24809.5867, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9309, predictive_accuracy: 0.9315, prior_entropy: 0.863, recall: 0.9315, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 110.2592, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 373.1819, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9409, kappa: 0.855, kb_relative_information_score: 28654.5662, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9409, prior_entropy: 0.863, recall: 0.9409, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9342, kappa: 0.837, kb_relative_information_score: 24709.0683, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.935, prior_entropy: 0.863, recall: 0.935, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9358, kappa: 0.8411, kb_relative_information_score: 24166.4844, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9365, prior_entropy: 0.863, recall: 0.9365, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 66.46, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 27732.7112, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 58.9159, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9509, kappa: 0.8791, kb_relative_information_score: 27692.3179, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 218.3076, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8554, kappa: 0.6414, kb_relative_information_score: 17014.0504, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8546, predictive_accuracy: 0.8573, prior_entropy: 0.863, recall: 0.8573, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.7245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -65.7997, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -25.0451, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,

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