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: 0.8627, 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: 0.9325, f_measure: 0.8567, kappa: 0.7105, kb_relative_information_score: 399.9196, mean_absolute_error: 0.2255, 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: 0.4566, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8695, kappa: 0.7356, kb_relative_information_score: 439.9007, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7901, kappa: 0.5755, kb_relative_information_score: 394.8533, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7904, predictive_accuracy: 0.7899, prior_entropy: 0.9913, recall: 0.7899, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 434.6704, mean_absolute_error: 0.1946, 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: 0.394, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 437.578, mean_absolute_error: 0.1915, 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: 0.3876, 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: 0.9248, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 445.5725, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6476,
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: 0.8327, 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: 0.9264, f_measure: 0.8597, kappa: 0.7169, kb_relative_information_score: 356.7057, mean_absolute_error: 0.2609, 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: 0.5282, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.8158, kappa: 0.627, kb_relative_information_score: 431.4878, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8158, predictive_accuracy: 0.8159, prior_entropy: 0.9913, recall: 0.8159, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8697, kappa: 0.7368, kb_relative_information_score: 430.8732, mean_absolute_error: 0.1979, 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: 0.4007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.4453, kappa: 0.0336, kb_relative_information_score: 79.3893, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5852, predictive_accuracy: 0.5652, prior_entropy: 0.9913, recall: 0.5652, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6594, root_relative_squared_error: 1.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8695, kappa: 0.7356, kb_relative_information_score: 346.199, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8524, kappa: 0.7006, kb_relative_information_score: 165.4729, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8512, kappa: 0.701, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, 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: 0.7926, f_measure: 0.7932, kappa: 0.5824, kb_relative_information_score: 398.9238, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7943, predictive_accuracy: 0.7928, prior_entropy: 0.9913, recall: 0.7928, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8623, kappa: 0.7212, kb_relative_information_score: 437.8531, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8623, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8497, kappa: 0.7001, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8605, 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: 0.9302, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 408.0107, mean_absolute_error: 0.2178, 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: 0.4409, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6329,
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: 0.9359, f_measure: 0.877, kappa: 0.7513, kb_relative_information_score: 443.5577, mean_absolute_error: 0.1876, 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: 0.3798, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6171,
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: 0.8646, f_measure: 0.8568, kappa: 0.7151, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8705, 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: 0.6205, f_measure: 0.6129, kappa: 0.2565, kb_relative_information_score: 205.5749, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6995, predictive_accuracy: 0.6551, prior_entropy: 0.9913, recall: 0.6551, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.1818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.8351, kappa: 0.6668, kb_relative_information_score: 457.9461, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8358, predictive_accuracy: 0.8348, prior_entropy: 0.9913, recall: 0.8348, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.8613, kappa: 0.7208, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, 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: 0.9248, f_measure: 0.8695, kappa: 0.7358, kb_relative_information_score: 438.962, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8695, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7859, kappa: 0.5724, kb_relative_information_score: 405.0295, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8344, 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: 0.7892, f_measure: 0.7978, kappa: 0.5899, kb_relative_information_score: 411.1353, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8075, predictive_accuracy: 0.8014, prior_entropy: 0.9913, recall: 0.8014, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8553, kappa: 0.7079, kb_relative_information_score: 437.8426, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8563, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8497, kappa: 0.6997, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.859, 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: 0.9327, f_measure: 0.8668, kappa: 0.7308, kb_relative_information_score: 437.0625, mean_absolute_error: 0.1932, 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: 0.3912, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8755, kappa: 0.7483, kb_relative_information_score: 427.524, mean_absolute_error: 0.2019, 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: 0.4087, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8683, kappa: 0.7339, kb_relative_information_score: 441.456, mean_absolute_error: 0.1893, 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: 0.3832, 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: 0.8542, f_measure: 0.8497, kappa: 0.6989, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, 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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.8614, f_measure: 0.8539, kappa: 0.7092, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, 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: 0.9289, f_measure: 0.8711, kappa: 0.7395, kb_relative_information_score: 445.0042, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8715, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6329,
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: 0.8129, f_measure: 0.8158, kappa: 0.6268, kb_relative_information_score: 431.4878, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8157, predictive_accuracy: 0.8159, prior_entropy: 0.9913, recall: 0.8159, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8583, kappa: 0.7147, kb_relative_information_score: 379.2527, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8652, kappa: 0.7272, kb_relative_information_score: 436.0727, mean_absolute_error: 0.1933, 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: 0.3914, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8726, kappa: 0.7423, kb_relative_information_score: 426.3107, mean_absolute_error: 0.2019, 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: 0.4086, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6291,
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: 0.9336, f_measure: 0.8683, kappa: 0.7336, kb_relative_information_score: 445.2586, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8686, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.8437, kappa: 0.6843, kb_relative_information_score: 470.1576, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8445, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7442, kappa: 0.4864, kb_relative_information_score: 346.0072, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7747, predictive_accuracy: 0.7551, prior_entropy: 0.9913, recall: 0.7551, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.871, kappa: 0.7388, kb_relative_information_score: 441.0014, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8711, kappa: 0.7391, kb_relative_information_score: 409.3343, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8712, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6212,
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: 0.9307, f_measure: 0.8697, kappa: 0.7364, kb_relative_information_score: 435.3323, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8699, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6241,
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: 0.9357, f_measure: 0.8756, kappa: 0.749, kb_relative_information_score: 444.5971, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8768, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8657, kappa: 0.7272, kb_relative_information_score: 242.5574, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8685, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8769, kappa: 0.7512, kb_relative_information_score: 440.7877, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8772, predictive_accuracy: 0.8768, prior_entropy: 0.9913, recall: 0.8768, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8643, kappa: 0.7245, kb_relative_information_score: 303.9191, mean_absolute_error: 0.3036, 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: 0.6147, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6933,
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: 0.9312, f_measure: 0.8669, kappa: 0.7309, kb_relative_information_score: 380.4434, mean_absolute_error: 0.2417, 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: 0.4892, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8568, kappa: 0.7111, kb_relative_information_score: 385.2976, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8582, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8712, kappa: 0.7396, kb_relative_information_score: 428.964, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8716, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.835, kappa: 0.6666, kb_relative_information_score: 457.9461, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8356, predictive_accuracy: 0.8348, prior_entropy: 0.9913, recall: 0.8348, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8655, kappa: 0.7283, kb_relative_information_score: 500.6864, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8711, kappa: 0.7395, kb_relative_information_score: 437.7799, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8715, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6231,
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: 0.9229, f_measure: 0.8666, kappa: 0.7299, kb_relative_information_score: 439.0571, mean_absolute_error: 0.1893, 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: 0.3833, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.8293, kappa: 0.6553, kb_relative_information_score: 449.8051, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8303, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8724, kappa: 0.7416, kb_relative_information_score: 442.3506, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8724, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8596, kappa: 0.7162, kb_relative_information_score: 412.9313, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8705, kappa: 0.7372, kb_relative_information_score: 340.3004, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8248, kappa: 0.6455, kb_relative_information_score: 443.6993, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.825, 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: 0.8042, f_measure: 0.8153, kappa: 0.6277, kb_relative_information_score: 439.6288, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.844, 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: 0.9311, f_measure: 0.8636, kappa: 0.7237, kb_relative_information_score: 368.4352, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8511, kappa: 0.6979, kb_relative_information_score: 163.4779, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8619, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8683, kappa: 0.7339, kb_relative_information_score: 433.1012, mean_absolute_error: 0.1961, 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: 0.397, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8143, kappa: 0.6237, kb_relative_information_score: 429.4526, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8142, predictive_accuracy: 0.8145, prior_entropy: 0.9913, recall: 0.8145, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8667,
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: 0.7973, f_measure: 0.8048, kappa: 0.6037, kb_relative_information_score: 419.2763, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8102, 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: 0.8487, f_measure: 0.8494, kappa: 0.6956, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8499, 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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7954, kappa: 0.5853, kb_relative_information_score: 402.9943, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7953, predictive_accuracy: 0.7957, prior_entropy: 0.9913, recall: 0.7957, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8539, kappa: 0.7094, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, 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: 0.498, 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: 0.7897, f_measure: 0.7915, kappa: 0.5783, kb_relative_information_score: 396.8885, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7918, 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: 0.9145, f_measure: 0.8522, kappa: 0.7009, kb_relative_information_score: 446.508, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8523, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8711, kappa: 0.7395, kb_relative_information_score: 436.6719, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8715, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6234,
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: 0.931, f_measure: 0.8725, kappa: 0.742, kb_relative_information_score: 432.8346, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8726, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.5149, kappa: 0.1202, kb_relative_information_score: 128.2353, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6603, predictive_accuracy: 0.6, prior_entropy: 0.9913, recall: 0.6, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 440.1739, mean_absolute_error: 0.188, 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: 0.3806, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8636, kappa: 0.7235, kb_relative_information_score: 498.6511, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, 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: 0.8646, f_measure: 0.8568, kappa: 0.7151, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8705, 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: 0.6423, f_measure: 0.6407, kappa: 0.3012, kb_relative_information_score: 232.0332, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7133, predictive_accuracy: 0.6739, prior_entropy: 0.9913, recall: 0.6739, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8511, kappa: 0.7032, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8631, 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: 0.5006, 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: 0.9313, f_measure: 0.8655, kappa: 0.7286, kb_relative_information_score: 419.2175, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8598, kappa: 0.7173, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8617, 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,

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