OpenML
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 20196 runs submitted
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  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 study_98 study_99 under100k under1m
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20196 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.602, kappa: 0.4916, kb_relative_information_score: 383.2668, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6023, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.6074, kappa: 0.4978, kb_relative_information_score: 377.9532, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6127, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5997, kappa: 0.4879, kb_relative_information_score: 392.6969, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.601, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.6066, kappa: 0.4984, kb_relative_information_score: 393.2232, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6072, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.8132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.6078, kappa: 0.4979, kb_relative_information_score: 401.4673, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6103, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.6054, kappa: 0.4946, kb_relative_information_score: 386.2203, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6097, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.8139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.6114, kappa: 0.5021, kb_relative_information_score: 384.4231, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6143, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.6048, kappa: 0.4925, kb_relative_information_score: 403.5391, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6087, predictive_accuracy: 0.6019, prior_entropy: 2.2629, recall: 0.6019, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.603, kappa: 0.4901, kb_relative_information_score: 395.8512, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.607, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.5956, kappa: 0.4831, kb_relative_information_score: 389.6548, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5967, predictive_accuracy: 0.5951, prior_entropy: 2.2629, recall: 0.5951, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.6062, kappa: 0.497, kb_relative_information_score: 390.9366, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6062, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.595, kappa: 0.4823, kb_relative_information_score: 398.9822, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5996, predictive_accuracy: 0.5924, prior_entropy: 2.2629, recall: 0.5924, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.6014, kappa: 0.4912, kb_relative_information_score: 386.6555, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6018, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.6138, kappa: 0.5059, kb_relative_information_score: 398.2399, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6159, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.6071, kappa: 0.4974, kb_relative_information_score: 381.5664, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6117, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.6174, kappa: 0.5105, kb_relative_information_score: 404.8849, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6198, predictive_accuracy: 0.6155, prior_entropy: 2.2629, recall: 0.6155, relative_absolute_error: 0.5256, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.605, kappa: 0.4934, kb_relative_information_score: 397.1388, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6078, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.6105, kappa: 0.5011, kb_relative_information_score: 408.253, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6125, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.6102, kappa: 0.5026, kb_relative_information_score: 387.2406, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6098, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.6087, kappa: 0.4994, kb_relative_information_score: 405.4464, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6108, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.34, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.6275, kappa: 0.5237, kb_relative_information_score: 404.4582, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6274, predictive_accuracy: 0.6277, prior_entropy: 2.2629, recall: 0.6277, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.6212, kappa: 0.5145, kb_relative_information_score: 398.9546, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6241, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.8371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.5997, kappa: 0.4885, kb_relative_information_score: 393.315, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5996, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.8272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.611, kappa: 0.5046, kb_relative_information_score: 384.8874, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.612, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.63, kappa: 0.527, kb_relative_information_score: 407.3042, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6298, predictive_accuracy: 0.6304, prior_entropy: 2.2629, recall: 0.6304, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.8119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.5981, kappa: 0.4861, kb_relative_information_score: 396.0035, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6013, predictive_accuracy: 0.5965, prior_entropy: 2.2629, recall: 0.5965, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.604, kappa: 0.4929, kb_relative_information_score: 376.6038, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6093, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.8224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.6144, kappa: 0.5061, kb_relative_information_score: 400.0235, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6155, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.5371, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.8304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.6064, kappa: 0.4932, kb_relative_information_score: 382.7612, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6125, predictive_accuracy: 0.6046, prior_entropy: 2.2629, recall: 0.6046, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.6221, kappa: 0.5154, kb_relative_information_score: 410.0546, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6257, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.8521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.594, kappa: 0.4772, kb_relative_information_score: 388.7892, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5991, predictive_accuracy: 0.591, prior_entropy: 2.2629, recall: 0.591, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.6059, kappa: 0.4979, kb_relative_information_score: 405.0405, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6065, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.6184, kappa: 0.5114, kb_relative_information_score: 407.6255, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6216, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.8808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.6101, kappa: 0.5008, kb_relative_information_score: 398.5722, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6127, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.8473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.6046, kappa: 0.4941, kb_relative_information_score: 397.5226, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6069, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.8488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.6212, kappa: 0.5146, kb_relative_information_score: 400.2506, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6239, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.5948, kappa: 0.4814, kb_relative_information_score: 401.2324, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.597, predictive_accuracy: 0.5938, prior_entropy: 2.2629, recall: 0.5938, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.6006, kappa: 0.4899, kb_relative_information_score: 393.1993, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6005, predictive_accuracy: 0.6019, prior_entropy: 2.2629, recall: 0.6019, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.6058, kappa: 0.4948, kb_relative_information_score: 386.6824, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6096, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.601, kappa: 0.4892, kb_relative_information_score: 394.6381, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6017, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.6079, kappa: 0.4981, kb_relative_information_score: 413.8254, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6107, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.6014, kappa: 0.4912, kb_relative_information_score: 386.0063, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6018, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.6169, kappa: 0.5093, kb_relative_information_score: 400.5453, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6177, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.6086, kappa: 0.4997, kb_relative_information_score: 400.5103, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6105, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.6336, kappa: 0.5308, kb_relative_information_score: 416.075, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6366, predictive_accuracy: 0.6318, prior_entropy: 2.2629, recall: 0.6318, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.613, kappa: 0.5046, kb_relative_information_score: 403.5008, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6172, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.6197, kappa: 0.5138, kb_relative_information_score: 393.0385, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6217, predictive_accuracy: 0.6209, prior_entropy: 2.2629, recall: 0.6209, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.6035, kappa: 0.4924, kb_relative_information_score: 395.7097, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6041, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.6094, kappa: 0.4989, kb_relative_information_score: 393.8782, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6119, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.335, root_relative_squared_error: 0.8466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.611, kappa: 0.5042, kb_relative_information_score: 390.6615, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6108, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.6025, kappa: 0.4917, kb_relative_information_score: 397.5528, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6046, predictive_accuracy: 0.6019, prior_entropy: 2.2629, recall: 0.6019, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.8478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.602, kappa: 0.4916, kb_relative_information_score: 384.3984, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6023, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6074, kappa: 0.4978, kb_relative_information_score: 378.278, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6127, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.8168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.5997, kappa: 0.4868, kb_relative_information_score: 378.3117, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.604, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.6128, kappa: 0.5058, kb_relative_information_score: 388.324, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6127, predictive_accuracy: 0.6155, prior_entropy: 2.2629, recall: 0.6155, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.8074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.6243, kappa: 0.5181, kb_relative_information_score: 399.5366, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6278, predictive_accuracy: 0.6223, prior_entropy: 2.2629, recall: 0.6223, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.6034, kappa: 0.4947, kb_relative_information_score: 385.5785, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6066, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.8068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.6121, kappa: 0.5034, kb_relative_information_score: 409.3774, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.615, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.5994, kappa: 0.4865, kb_relative_information_score: 376.8733, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.604, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.6081, kappa: 0.4995, kb_relative_information_score: 400.23, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6092, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.5998, kappa: 0.4879, kb_relative_information_score: 378.3811, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6041, predictive_accuracy: 0.6019, prior_entropy: 2.2629, recall: 0.6019, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.326, root_relative_squared_error: 0.8239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.6034, kappa: 0.4921, kb_relative_information_score: 393.5605, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6074, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.6053, kappa: 0.4967, kb_relative_information_score: 392.3239, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.606, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.8156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.611, kappa: 0.5042, kb_relative_information_score: 390.8955, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6108, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.6311, kappa: 0.5284, kb_relative_information_score: 407.0425, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6309, predictive_accuracy: 0.6318, prior_entropy: 2.2629, recall: 0.6318, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.6166, kappa: 0.5121, kb_relative_information_score: 408.6464, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6155, predictive_accuracy: 0.6182, prior_entropy: 2.2629, recall: 0.6182, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.6034, kappa: 0.4947, kb_relative_information_score: 385.5785, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6066, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.8068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.63, kappa: 0.527, kb_relative_information_score: 406.9408, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6298, predictive_accuracy: 0.6304, prior_entropy: 2.2629, recall: 0.6304, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.6126, kappa: 0.505, kb_relative_information_score: 385.4869, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6144, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.6173, kappa: 0.5139, kb_relative_information_score: 390.1592, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6189, predictive_accuracy: 0.6223, prior_entropy: 2.2629, recall: 0.6223, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.6135, kappa: 0.5043, kb_relative_information_score: 417.3601, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6174, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.6126, kappa: 0.505, kb_relative_information_score: 385.6031, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6144, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.6361, kappa: 0.5349, kb_relative_information_score: 403.4143, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6358, predictive_accuracy: 0.6372, prior_entropy: 2.2629, recall: 0.6372, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.6146, kappa: 0.5081, kb_relative_information_score: 411.363, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6164, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.6101, kappa: 0.502, kb_relative_information_score: 404.2588, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6111, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.621, kappa: 0.5174, kb_relative_information_score: 413.9458, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.62, predictive_accuracy: 0.6223, prior_entropy: 2.2629, recall: 0.6223, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.6205, kappa: 0.5136, kb_relative_information_score: 386.8658, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6256, predictive_accuracy: 0.6223, prior_entropy: 2.2629, recall: 0.6223, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.5939, kappa: 0.482, kb_relative_information_score: 381.614, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5975, predictive_accuracy: 0.5951, prior_entropy: 2.2629, recall: 0.5951, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.6164, kappa: 0.5097, kb_relative_information_score: 402.2977, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6179, predictive_accuracy: 0.6155, prior_entropy: 2.2629, recall: 0.6155, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.5948, kappa: 0.4809, kb_relative_information_score: 391.0799, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5963, predictive_accuracy: 0.5938, prior_entropy: 2.2629, recall: 0.5938, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.605, kappa: 0.4965, kb_relative_information_score: 385.8554, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6081, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.6112, kappa: 0.5036, kb_relative_information_score: 400.1603, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6131, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.5939, kappa: 0.482, kb_relative_information_score: 381.9003, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5975, predictive_accuracy: 0.5951, prior_entropy: 2.2629, recall: 0.5951, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.613, kappa: 0.5047, kb_relative_information_score: 401.7365, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6154, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.5992, kappa: 0.4881, kb_relative_information_score: 392.9135, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5991, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.6244, kappa: 0.5176, kb_relative_information_score: 395.8693, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6273, predictive_accuracy: 0.6236, prior_entropy: 2.2629, recall: 0.6236, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.6038, kappa: 0.4929, kb_relative_information_score: 397.5603, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6049, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.6061, kappa: 0.4957, kb_relative_information_score: 403.0229, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.608, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.6231, kappa: 0.5159, kb_relative_information_score: 400.1934, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6262, predictive_accuracy: 0.6223, prior_entropy: 2.2629, recall: 0.6223, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.8386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.6031, kappa: 0.4922, kb_relative_information_score: 401.1765, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.605, predictive_accuracy: 0.6019, prior_entropy: 2.2629, recall: 0.6019, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.6264, kappa: 0.5233, kb_relative_information_score: 422.8034, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6261, predictive_accuracy: 0.6277, prior_entropy: 2.2629, recall: 0.6277, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.332, root_relative_squared_error: 0.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.6134, kappa: 0.506, kb_relative_information_score: 400.1783, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6143, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.6204, kappa: 0.5138, kb_relative_information_score: 414.3265, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6236, predictive_accuracy: 0.6182, prior_entropy: 2.2629, recall: 0.6182, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.6003, kappa: 0.4892, kb_relative_information_score: 396.1131, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6002, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.609, kappa: 0.501, kb_relative_information_score: 386.934, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6086, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.8102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.6122, kappa: 0.5039, kb_relative_information_score: 404.6768, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6151, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.8537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.6175, kappa: 0.5095, kb_relative_information_score: 403.9607, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6227, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.6043, kappa: 0.4944, kb_relative_information_score: 394.9423, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6061, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.337, root_relative_squared_error: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.6008, kappa: 0.4875, kb_relative_information_score: 375.7685, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6048, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.329, root_relative_squared_error: 0.8314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.6078, kappa: 0.4982, kb_relative_information_score: 395.7366, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6085, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.8646,

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