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: 0.8194, f_measure: 0.8229, kappa: 0.6409, kb_relative_information_score: 441.6641, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8229, predictive_accuracy: 0.8232, prior_entropy: 0.9913, recall: 0.8232, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.8598, kappa: 0.7198, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8689, 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: 0.5267, f_measure: 0.465, kappa: 0.0584, kb_relative_information_score: 93.6361, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6203, predictive_accuracy: 0.5754, prior_entropy: 0.9913, recall: 0.5754, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.8182, kappa: 0.6312, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8186, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8565,
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: 0.8618, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 498.6511, mean_absolute_error: 0.1362, 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: 0.2758, 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: 0.8649, f_measure: 0.8568, kappa: 0.7153, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, 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: 0.5, 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: 0.8037, f_measure: 0.807, kappa: 0.6089, kb_relative_information_score: 419.2763, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8069, predictive_accuracy: 0.8072, prior_entropy: 0.9913, recall: 0.8072, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8569, kappa: 0.7122, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8604, 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: 0.8051, f_measure: 0.8084, kappa: 0.6117, kb_relative_information_score: 421.3115, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8084, predictive_accuracy: 0.8087, prior_entropy: 0.9913, recall: 0.8087, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8801,
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: 0.8376, f_measure: 0.8379, kappa: 0.6726, kb_relative_information_score: 462.0166, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8387, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8107,
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: 0.8649, f_measure: 0.8568, kappa: 0.7153, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, 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: 0.8419, f_measure: 0.8423, kappa: 0.6813, kb_relative_information_score: 468.1223, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8429, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.8182, kappa: 0.6312, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8186, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8569, kappa: 0.7124, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, 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: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5058, f_measure: 0.422, kappa: 0.0129, kb_relative_information_score: 69.213, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5569, 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: 0.8624, f_measure: 0.8625, kappa: 0.7222, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8632, 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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.6752, kappa: 0.361, kb_relative_information_score: 268.6677, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7356, predictive_accuracy: 0.7, prior_entropy: 0.9913, recall: 0.7, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.8187, kappa: 0.6329, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.8117, kappa: 0.6191, kb_relative_information_score: 425.3821, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8119, 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: 0.5, 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: 0.8676, f_measure: 0.8627, kappa: 0.7251, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8698, 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: 0.5169, f_measure: 0.4481, kappa: 0.0371, kb_relative_information_score: 81.4245, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.591, predictive_accuracy: 0.5667, prior_entropy: 0.9913, recall: 0.5667, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6583, root_relative_squared_error: 1.3246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.5433, kappa: 0.1591, kb_relative_information_score: 150.6231, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6794, predictive_accuracy: 0.6159, prior_entropy: 0.9913, recall: 0.6159, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.819, kappa: 0.6341, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8194, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8565,
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: 0.8588, f_measure: 0.8541, kappa: 0.7077, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, 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: 0.8649, f_measure: 0.8568, kappa: 0.7153, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, 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: 0.8624, f_measure: 0.8584, kappa: 0.7159, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.864, 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: 0.8327, f_measure: 0.8335, kappa: 0.6636, kb_relative_information_score: 455.9108, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.834, 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: 0.8562, f_measure: 0.8567, kappa: 0.7104, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8131, kappa: 0.6219, kb_relative_information_score: 427.4173, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8132, predictive_accuracy: 0.813, prior_entropy: 0.9913, recall: 0.813, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8701,
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: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.857, kappa: 0.7126, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8613, 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: 0.8158, f_measure: 0.8209, kappa: 0.6364, kb_relative_information_score: 439.6288, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8219, predictive_accuracy: 0.8217, prior_entropy: 0.9913, recall: 0.8217, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7959, kappa: 0.5863, kb_relative_information_score: 409.1, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8074, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7959, kappa: 0.5863, kb_relative_information_score: 409.1, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8074, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8999,
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: 0.8028, f_measure: 0.8057, kappa: 0.6063, kb_relative_information_score: 417.241, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8056, 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: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.5174, kappa: 0.1237, kb_relative_information_score: 130.2706, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6625, predictive_accuracy: 0.6014, prior_entropy: 0.9913, recall: 0.6014, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6313, root_relative_squared_error: 1.2703,
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: 0.8643, f_measure: 0.8568, kappa: 0.715, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8697, 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: 0.8298, f_measure: 0.8307, kappa: 0.6577, kb_relative_information_score: 451.8403, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8312, predictive_accuracy: 0.8304, prior_entropy: 0.9913, recall: 0.8304, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8466, kappa: 0.69, kb_relative_information_score: 474.2281, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8472, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, 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: 0.5019, 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: 0.8633, 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: 0.8633, 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: 0.5879, f_measure: 0.5669, kappa: 0.1891, kb_relative_information_score: 166.9051, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6819, predictive_accuracy: 0.6275, prior_entropy: 0.9913, recall: 0.6275, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6103, root_relative_squared_error: 1.2281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8596, kappa: 0.7164, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8603, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2846, 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: 0.5042, f_measure: 0.4189, kappa: 0.0093, kb_relative_information_score: 67.1778, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5448, predictive_accuracy: 0.5565, prior_entropy: 0.9913, recall: 0.5565, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6659, root_relative_squared_error: 1.34,
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: 0.5332, f_measure: 0.476, kappa: 0.0726, kb_relative_information_score: 101.7771, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6356, predictive_accuracy: 0.5812, prior_entropy: 0.9913, recall: 0.5812, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6472, root_relative_squared_error: 1.3023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8612, kappa: 0.7203, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8633, 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: 0.4993, 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: 0.8037, f_measure: 0.807, kappa: 0.6089, kb_relative_information_score: 419.2763, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8069, predictive_accuracy: 0.8072, prior_entropy: 0.9913, recall: 0.8072, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8568, kappa: 0.7148, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8689, 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: 0.7165, f_measure: 0.7251, kappa: 0.4505, kb_relative_information_score: 323.6195, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7631, predictive_accuracy: 0.7391, prior_entropy: 0.9913, recall: 0.7391, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, f_measure: 0.4395, kappa: 0.0264, kb_relative_information_score: 75.3188, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5724, predictive_accuracy: 0.5623, prior_entropy: 0.9913, recall: 0.5623, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6616, root_relative_squared_error: 1.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8364, kappa: 0.6694, kb_relative_information_score: 459.9813, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8369, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8598, kappa: 0.7177, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, 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: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8249, kappa: 0.646, kb_relative_information_score: 443.6993, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8254, predictive_accuracy: 0.8246, prior_entropy: 0.9913, recall: 0.8246, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.8171, kappa: 0.6285, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8208, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8452, kappa: 0.6872, kb_relative_information_score: 472.1928, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8458, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.8042, kappa: 0.6035, kb_relative_information_score: 415.2058, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8901,
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: 0.5791, f_measure: 0.553, kappa: 0.1707, kb_relative_information_score: 156.7289, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6787, predictive_accuracy: 0.6203, prior_entropy: 0.9913, recall: 0.6203, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6162, root_relative_squared_error: 1.24,
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: 0.8653, 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: 0.5, 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: 0.5042, f_measure: 0.4189, kappa: 0.0093, kb_relative_information_score: 67.1778, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5448, predictive_accuracy: 0.5565, prior_entropy: 0.9913, recall: 0.5565, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6659, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.8607, kappa: 0.7176, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8607, 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: 0.8617, f_measure: 0.8598, kappa: 0.7177, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, 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: 0.8627, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, 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: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7546, kappa: 0.5059, kb_relative_information_score: 358.2188, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7807, predictive_accuracy: 0.7638, prior_entropy: 0.9913, recall: 0.7638, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.486, root_relative_squared_error: 0.978,
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: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8555, kappa: 0.7098, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, 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: 0.8634, f_measure: 0.8626, kappa: 0.7228, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.864, 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: 0.8464, f_measure: 0.8466, kappa: 0.6902, kb_relative_information_score: 474.2281, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8474, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.818, kappa: 0.6307, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8188, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.8114, kappa: 0.6178, 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,

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