OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 146818 Supervised Classification Australian 4202 runs submitted
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4202 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8614, kappa: 0.7186, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.8495, kappa: 0.696, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8503, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8667, kappa: 0.7301, kb_relative_information_score: 366.8045, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8741, kappa: 0.7455, kb_relative_information_score: 441.4189, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8745, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 383.5386, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.877, kappa: 0.7513, kb_relative_information_score: 433.1712, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8774, predictive_accuracy: 0.8768, prior_entropy: 0.9913, recall: 0.8768, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.861, kappa: 0.7189, kb_relative_information_score: 442.9538, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.861, kappa: 0.719, kb_relative_information_score: 448.2453, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7908, kappa: 0.5758, kb_relative_information_score: 396.8885, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7908, predictive_accuracy: 0.7913, prior_entropy: 0.9913, recall: 0.7913, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8654, kappa: 0.7267, kb_relative_information_score: 267.316, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8696, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8597, kappa: 0.7169, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8626, kappa: 0.723, kb_relative_information_score: 415.4443, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8643, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8738, kappa: 0.7445, kb_relative_information_score: 440.0601, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8738, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7964, kappa: 0.5868, kb_relative_information_score: 405.0295, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7967, predictive_accuracy: 0.7971, prior_entropy: 0.9913, recall: 0.7971, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8712, kappa: 0.7398, kb_relative_information_score: 443.6101, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8718, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8541, kappa: 0.7072, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8594, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.857, kappa: 0.713, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8623, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8645, kappa: 0.7249, kb_relative_information_score: 265.0595, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8652, kappa: 0.7272, kb_relative_information_score: 441.0005, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.4159, kappa: 0.0057, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5313, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 436.3904, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.873, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7026, kappa: 0.42, kb_relative_information_score: 309.3727, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7896, predictive_accuracy: 0.729, prior_entropy: 0.9913, recall: 0.729, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4007, kappa: -0.0015, kb_relative_information_score: 63.1073, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4859, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6681, root_relative_squared_error: 1.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8726, kappa: 0.7426, kb_relative_information_score: 445.1406, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8732, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.861, kappa: 0.7187, kb_relative_information_score: 392.9849, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8336, kappa: 0.6638, kb_relative_information_score: 455.9108, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8343, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8465, kappa: 0.6882, kb_relative_information_score: 476.2633, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8501, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8117, kappa: 0.6188, kb_relative_information_score: 425.3821, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8117, predictive_accuracy: 0.8116, prior_entropy: 0.9913, recall: 0.8116, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.4112, kappa: 0.0043, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5311, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.8511, kappa: 0.7029, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8615, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8641, kappa: 0.7258, kb_relative_information_score: 405.135, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8655, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.8568, kappa: 0.7109, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8726, kappa: 0.7426, kb_relative_information_score: 438.5824, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8732, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8668, kappa: 0.7308, kb_relative_information_score: 427.2591, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8672, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8725, kappa: 0.7421, kb_relative_information_score: 438.9507, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8727, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.8028, kappa: 0.6007, kb_relative_information_score: 413.1705, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8028, predictive_accuracy: 0.8029, prior_entropy: 0.9913, recall: 0.8029, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4007, kappa: -0.0015, kb_relative_information_score: 63.1073, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4859, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6681, root_relative_squared_error: 1.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8623, kappa: 0.7213, kb_relative_information_score: 390.9544, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.4014, kappa: 0.0014, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5307, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8669, kappa: 0.7313, kb_relative_information_score: 441.6562, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8679, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8567, kappa: 0.7105, kb_relative_information_score: 441.1474, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8574, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8583, kappa: 0.7179, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8716, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.874, kappa: 0.7451, kb_relative_information_score: 441.0684, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8742, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8651, kappa: 0.7269, kb_relative_information_score: 437.3098, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.6972, kappa: 0.4005, kb_relative_information_score: 293.0907, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7497, predictive_accuracy: 0.7174, prior_entropy: 0.9913, recall: 0.7174, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.0697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8651, kappa: 0.7269, kb_relative_information_score: 356.1584, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.864, kappa: 0.7254, kb_relative_information_score: 428.7276, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.865, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8755, kappa: 0.7482, kb_relative_information_score: 435.5213, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8757, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8629, kappa: 0.7217, kb_relative_information_score: 273.227, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.865, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.4014, kappa: 0.0014, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5307, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.4589, kappa: 0.0615, kb_relative_information_score: 97.7066, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6657, predictive_accuracy: 0.5783, prior_entropy: 0.9913, recall: 0.5783, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6494, root_relative_squared_error: 1.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.851, kappa: 0.7034, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8638, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.8563, kappa: 0.7083, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.862, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.861, kappa: 0.7189, kb_relative_information_score: 427.7284, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8669, kappa: 0.7309, kb_relative_information_score: 443.9082, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.829, kappa: 0.654, kb_relative_information_score: 455.9108, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8474, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8511, kappa: 0.7027, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8538, kappa: 0.7047, kb_relative_information_score: 441.8785, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8545, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8598, kappa: 0.7202, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8703, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8612, kappa: 0.7198, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.851, kappa: 0.7034, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8638, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8332, kappa: 0.6627, kb_relative_information_score: 128.4172, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.8526, kappa: 0.7049, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.86, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8683, kappa: 0.7339, kb_relative_information_score: 429.0691, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.869, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.864, kappa: 0.7254, kb_relative_information_score: 498.6511, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.865, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.4127, kappa: 0.0101, kb_relative_information_score: 69.213, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5763, predictive_accuracy: 0.558, prior_entropy: 0.9913, recall: 0.558, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6649, root_relative_squared_error: 1.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8712, kappa: 0.7398, kb_relative_information_score: 422.9619, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8718, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8639, kappa: 0.7245, kb_relative_information_score: 394.6709, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.864, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.803, kappa: 0.6001, kb_relative_information_score: 417.241, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8098, predictive_accuracy: 0.8058, prior_entropy: 0.9913, recall: 0.8058, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8698, kappa: 0.7369, kb_relative_information_score: 427.8024, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8705, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8726, kappa: 0.7423, kb_relative_information_score: 438.0571, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8728, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8583, kappa: 0.7176, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.87, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8511, kappa: 0.7027, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8612, kappa: 0.72, kb_relative_information_score: 415.6384, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8627, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8204, kappa: 0.6366, kb_relative_information_score: 437.5936, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8206, predictive_accuracy: 0.8203, prior_entropy: 0.9913, recall: 0.8203, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8553, kappa: 0.7123, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8695, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.622, kappa: 0.2705, kb_relative_information_score: 213.7159, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7031, predictive_accuracy: 0.6609, prior_entropy: 0.9913, recall: 0.6609, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 364.463, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8113, kappa: 0.6176, kb_relative_information_score: 425.3821, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8113, predictive_accuracy: 0.8116, prior_entropy: 0.9913, recall: 0.8116, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.6357, kappa: 0.3002, kb_relative_information_score: 234.0684, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7324, predictive_accuracy: 0.6754, prior_entropy: 0.9913, recall: 0.6754, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 436.5718, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8643, kappa: 0.7245, kb_relative_information_score: 268.2994, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8666, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7249,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 498.6511, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8647, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8755, kappa: 0.7485, kb_relative_information_score: 443.6691, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8761, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8755, kappa: 0.7483, kb_relative_information_score: 427.1931, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8759, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8683, kappa: 0.7339, kb_relative_information_score: 446.5906, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.869, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 440.5438, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8666, kappa: 0.7299, kb_relative_information_score: 439.3419, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8666, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8756, kappa: 0.7488, kb_relative_information_score: 445.3027, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8765, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8697, kappa: 0.7368, kb_relative_information_score: 445.4839, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8703, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8595, kappa: 0.7157, kb_relative_information_score: 436.7447, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8596, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8654, kappa: 0.7277, kb_relative_information_score: 431.4971, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6171,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs