OpenML
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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20384 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8852, kappa: 0.8261, kb_relative_information_score: 4255.5304, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8866, predictive_accuracy: 0.8856, prior_entropy: 1.7151, recall: 0.8856, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.5182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.6615, kappa: 0.4956, kb_relative_information_score: 2426.0948, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.68, predictive_accuracy: 0.6686, prior_entropy: 1.7151, recall: 0.6686, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8349, kappa: 0.7505, kb_relative_information_score: 3812.5677, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8368, predictive_accuracy: 0.8371, prior_entropy: 1.7151, recall: 0.8371, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.245, root_relative_squared_error: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9253, kappa: 0.8871, kb_relative_information_score: 4716.0912, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9254, predictive_accuracy: 0.9254, prior_entropy: 1.7151, recall: 0.9254, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9006, kappa: 0.8498, kb_relative_information_score: 4241.1858, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9008, predictive_accuracy: 0.901, prior_entropy: 1.7151, recall: 0.901, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.6618, kappa: 0.4956, kb_relative_information_score: 2429.4081, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.681, predictive_accuracy: 0.6688, prior_entropy: 1.7151, recall: 0.6688, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.8153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, kappa: 0.0866, kb_relative_information_score: 473.8576, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4465, prior_entropy: 1.7151, recall: 0.4465, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.6848, kappa: 0.5232, kb_relative_information_score: 2510.6604, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6912, predictive_accuracy: 0.6906, prior_entropy: 1.7151, recall: 0.6906, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.7983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.5276, kappa: 0.2889, kb_relative_information_score: 1430.0597, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5386, predictive_accuracy: 0.5526, prior_entropy: 1.7151, recall: 0.5526, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9082, kappa: 0.8614, kb_relative_information_score: 4292.6444, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9083, predictive_accuracy: 0.9085, prior_entropy: 1.7151, recall: 0.9085, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.3915, kappa: 0.08, kb_relative_information_score: 310.7416, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.374, predictive_accuracy: 0.4402, prior_entropy: 1.7151, recall: 0.4402, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.6857, kappa: 0.5247, kb_relative_information_score: 2372.7396, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6948, predictive_accuracy: 0.6934, prior_entropy: 1.7151, recall: 0.6934, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9236, kappa: 0.8846, kb_relative_information_score: 4610.8872, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9237, predictive_accuracy: 0.9238, prior_entropy: 1.7151, recall: 0.9238, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.4609, kappa: 0.2034, kb_relative_information_score: 391.291, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4676, predictive_accuracy: 0.5154, prior_entropy: 1.7151, recall: 0.5154, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.5512, kappa: 0.3279, kb_relative_information_score: 1567.0838, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5466, predictive_accuracy: 0.5761, prior_entropy: 1.7151, recall: 0.5761, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.3561, kappa: 0.0981, kb_relative_information_score: 360.4092, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4393, predictive_accuracy: 0.4467, prior_entropy: 1.7151, recall: 0.4467, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8817, kappa: 0.821, kb_relative_information_score: 3999.3366, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8818, predictive_accuracy: 0.8818, prior_entropy: 1.7151, recall: 0.8818, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.892, kappa: 0.8364, kb_relative_information_score: 4268.2796, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8922, predictive_accuracy: 0.892, prior_entropy: 1.7151, recall: 0.892, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.5263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.6904, kappa: 0.5311, kb_relative_information_score: 2570.0601, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6982, predictive_accuracy: 0.6972, prior_entropy: 1.7151, recall: 0.6972, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9259, kappa: 0.8879, kb_relative_information_score: 4632.7486, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9259, predictive_accuracy: 0.926, prior_entropy: 1.7151, recall: 0.926, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8988, kappa: 0.8468, kb_relative_information_score: 4143.8558, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8992, predictive_accuracy: 0.8992, prior_entropy: 1.7151, recall: 0.8992, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.5237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8995, kappa: 0.8483, kb_relative_information_score: 4192.9747, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8996, predictive_accuracy: 0.8999, prior_entropy: 1.7151, recall: 0.8999, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5273, f_measure: 0.3663, kappa: 0.0407, kb_relative_information_score: 228.0644, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3378, predictive_accuracy: 0.4186, prior_entropy: 1.7151, recall: 0.4186, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4096, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.728, kappa: 0.5868, kb_relative_information_score: 2761.6262, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7316, predictive_accuracy: 0.7311, prior_entropy: 1.7151, recall: 0.7311, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.7634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.6502, kappa: 0.4841, kb_relative_information_score: 2513.1374, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6853, predictive_accuracy: 0.6598, prior_entropy: 1.7151, recall: 0.6598, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.733, kappa: 0.5933, kb_relative_information_score: 2817.0307, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7434, predictive_accuracy: 0.7361, prior_entropy: 1.7151, recall: 0.7361, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.6252, kappa: 0.4448, kb_relative_information_score: 2343.704, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6539, predictive_accuracy: 0.634, prior_entropy: 1.7151, recall: 0.634, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.7497, kappa: 0.6214, kb_relative_information_score: 3058.4933, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7585, predictive_accuracy: 0.7551, prior_entropy: 1.7151, recall: 0.7551, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.7149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.6205, kappa: 0.4377, kb_relative_information_score: 2305.946, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6478, predictive_accuracy: 0.6294, prior_entropy: 1.7151, recall: 0.6294, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9035, kappa: 0.8541, kb_relative_information_score: 4511.5813, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9038, predictive_accuracy: 0.9038, prior_entropy: 1.7151, recall: 0.9038, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.6749, kappa: 0.5137, kb_relative_information_score: 2505.4859, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6822, predictive_accuracy: 0.6798, prior_entropy: 1.7151, recall: 0.6798, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.6391, kappa: 0.4653, kb_relative_information_score: 1675.7751, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6496, predictive_accuracy: 0.6402, prior_entropy: 1.7151, recall: 0.6402, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9025, kappa: 0.8527, kb_relative_information_score: 4202.3247, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9026, predictive_accuracy: 0.9029, prior_entropy: 1.7151, recall: 0.9029, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.5123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6174, kappa: 0.1375, kb_relative_information_score: 667.6458, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4696, prior_entropy: 1.7151, recall: 0.4696, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.913, kappa: 0.8684, kb_relative_information_score: 4517.4164, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9131, predictive_accuracy: 0.9131, prior_entropy: 1.7151, recall: 0.9131, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9246, kappa: 0.886, kb_relative_information_score: 4659.5172, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9246, predictive_accuracy: 0.9247, prior_entropy: 1.7151, recall: 0.9247, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9032, kappa: 0.8538, kb_relative_information_score: 4248.9171, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9033, predictive_accuracy: 0.9036, prior_entropy: 1.7151, recall: 0.9036, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8128, kappa: 0.7139, kb_relative_information_score: 3550.5147, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8347, predictive_accuracy: 0.8138, prior_entropy: 1.7151, recall: 0.8138, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.6959, kappa: 0.5397, kb_relative_information_score: 2633.3893, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7054, predictive_accuracy: 0.7031, prior_entropy: 1.7151, recall: 0.7031, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.7118, kappa: 0.5723, kb_relative_information_score: 2773.158, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7223, predictive_accuracy: 0.7179, prior_entropy: 1.7151, recall: 0.7179, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.7696, kappa: 0.6539, kb_relative_information_score: 3255.4941, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7876, predictive_accuracy: 0.7735, prior_entropy: 1.7151, recall: 0.7735, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.7096, kappa: 0.5559, kb_relative_information_score: 2519.3244, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8013, predictive_accuracy: 0.7161, prior_entropy: 1.7151, recall: 0.7161, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.7514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.7603, kappa: 0.637, kb_relative_information_score: 3101.0269, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7678, predictive_accuracy: 0.7648, prior_entropy: 1.7151, recall: 0.7648, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.8366, kappa: 0.7508, kb_relative_information_score: 3759.6335, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8496, predictive_accuracy: 0.8374, prior_entropy: 1.7151, recall: 0.8374, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, kappa: 0.26, kb_relative_information_score: 1124.5814, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5231, prior_entropy: 1.7151, recall: 0.5231, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.462, kappa: 0.2094, kb_relative_information_score: 803.2257, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4279, predictive_accuracy: 0.5147, prior_entropy: 1.7151, recall: 0.5147, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8379, kappa: 0.7546, kb_relative_information_score: 3799.6323, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.839, predictive_accuracy: 0.8393, prior_entropy: 1.7151, recall: 0.8393, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7213, kappa: 0.5762, kb_relative_information_score: 2795.9895, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7313, predictive_accuracy: 0.7254, prior_entropy: 1.7151, recall: 0.7254, relative_absolute_error: 0.5959, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.6716, kappa: 0.5128, kb_relative_information_score: 2475.3232, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6913, predictive_accuracy: 0.6771, prior_entropy: 1.7151, recall: 0.6771, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, kb_relative_information_score: 1.1045, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.7311, kappa: 0.5905, kb_relative_information_score: 2819.3405, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7411, predictive_accuracy: 0.7344, prior_entropy: 1.7151, recall: 0.7344, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7559, kappa: 0.6255, kb_relative_information_score: 2940.7166, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8142, predictive_accuracy: 0.7592, prior_entropy: 1.7151, recall: 0.7592, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.7007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8854, kappa: 0.8268, kb_relative_information_score: 4146.4489, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8857, predictive_accuracy: 0.886, prior_entropy: 1.7151, recall: 0.886, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.789, kappa: 0.6828, kb_relative_information_score: 3456.0383, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7911, predictive_accuracy: 0.7931, prior_entropy: 1.7151, recall: 0.7931, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.711, kappa: 0.5616, kb_relative_information_score: 2730.8957, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7216, predictive_accuracy: 0.7168, prior_entropy: 1.7151, recall: 0.7168, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.5122, kappa: 0.2789, kb_relative_information_score: 1201.3954, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4967, predictive_accuracy: 0.5508, prior_entropy: 1.7151, recall: 0.5508, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.895, kappa: 0.8413, kb_relative_information_score: 4336.5234, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8952, predictive_accuracy: 0.8953, prior_entropy: 1.7151, recall: 0.8953, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.7695, kappa: 0.6468, kb_relative_information_score: 3012.8201, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8188, predictive_accuracy: 0.7716, prior_entropy: 1.7151, recall: 0.7716, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8711, kappa: 0.8044, kb_relative_information_score: 4024.9361, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8719, predictive_accuracy: 0.8715, prior_entropy: 1.7151, recall: 0.8715, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.5502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9068, kappa: 0.8593, kb_relative_information_score: 4263.5077, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9068, predictive_accuracy: 0.9071, prior_entropy: 1.7151, recall: 0.9071, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4943, kappa: 0.2492, kb_relative_information_score: 802.9552, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4769, predictive_accuracy: 0.529, prior_entropy: 1.7151, recall: 0.529, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.6731, kappa: 0.5111, kb_relative_information_score: 2541.344, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6872, predictive_accuracy: 0.6789, prior_entropy: 1.7151, recall: 0.6789, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.326, root_relative_squared_error: 0.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.5989, kappa: 0.3984, kb_relative_information_score: 1909.6882, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6051, predictive_accuracy: 0.6125, prior_entropy: 1.7151, recall: 0.6125, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.8746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9045, kappa: 0.8559, kb_relative_information_score: 4251.7969, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9046, predictive_accuracy: 0.9049, prior_entropy: 1.7151, recall: 0.9049, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.6092, kappa: 0.4053, kb_relative_information_score: 1929.8893, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6191, predictive_accuracy: 0.618, prior_entropy: 1.7151, recall: 0.618, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.6204, kappa: 0.4346, kb_relative_information_score: 2170.2603, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6333, predictive_accuracy: 0.6277, prior_entropy: 1.7151, recall: 0.6277, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.6874, kappa: 0.5279, kb_relative_information_score: 2526.3881, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6926, predictive_accuracy: 0.6928, prior_entropy: 1.7151, recall: 0.6928, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7515, kappa: 0.6273, kb_relative_information_score: 3311.6463, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7873, predictive_accuracy: 0.7566, prior_entropy: 1.7151, recall: 0.7566, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.6981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.3591, kappa: 0.0638, kb_relative_information_score: 200.9737, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4016, predictive_accuracy: 0.4109, prior_entropy: 1.7151, recall: 0.4109, relative_absolute_error: 1.0174, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9091, kappa: 0.8626, kb_relative_information_score: 4528.8964, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9092, predictive_accuracy: 0.9093, prior_entropy: 1.7151, recall: 0.9093, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9283, kappa: 0.8916, kb_relative_information_score: 4584.1397, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9283, predictive_accuracy: 0.9283, prior_entropy: 1.7151, recall: 0.9283, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8785, kappa: 0.8162, kb_relative_information_score: 4220.3606, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8789, predictive_accuracy: 0.8792, prior_entropy: 1.7151, recall: 0.8792, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9188, kappa: 0.8774, kb_relative_information_score: 4369.1133, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9189, predictive_accuracy: 0.919, prior_entropy: 1.7151, recall: 0.919, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, kappa: 0.1043, kb_relative_information_score: 222.1311, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4604, prior_entropy: 1.7151, recall: 0.4604, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.6347, kappa: 0.4419, kb_relative_information_score: 2126.7763, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6467, predictive_accuracy: 0.6411, prior_entropy: 1.7151, recall: 0.6411, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.6207, kappa: 0.4388, kb_relative_information_score: 2301.4774, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6486, predictive_accuracy: 0.6292, prior_entropy: 1.7151, recall: 0.6292, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.6988, kappa: 0.5451, kb_relative_information_score: 2626.8699, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7043, predictive_accuracy: 0.7045, prior_entropy: 1.7151, recall: 0.7045, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.7827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.4992, kappa: 0.261, kb_relative_information_score: 778.2783, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4867, predictive_accuracy: 0.5389, prior_entropy: 1.7151, recall: 0.5389, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.7939, kappa: 0.6845, kb_relative_information_score: 3294.0806, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8272, predictive_accuracy: 0.7958, prior_entropy: 1.7151, recall: 0.7958, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.6573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.6572, kappa: 0.4903, kb_relative_information_score: 2303.9389, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6524, predictive_accuracy: 0.6712, prior_entropy: 1.7151, recall: 0.6712, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.774, kappa: 0.6596, kb_relative_information_score: 3268.7581, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.778, predictive_accuracy: 0.779, prior_entropy: 1.7151, recall: 0.779, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9045, kappa: 0.8559, kb_relative_information_score: 4242.6116, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9046, predictive_accuracy: 0.9049, prior_entropy: 1.7151, recall: 0.9049, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.4886, kappa: 0.2712, kb_relative_information_score: 1362.5013, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6083, predictive_accuracy: 0.528, prior_entropy: 1.7151, recall: 0.528, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.9524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.508, kappa: 0.3008, kb_relative_information_score: 1476.9548, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5955, predictive_accuracy: 0.5478, prior_entropy: 1.7151, recall: 0.5478, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8399, kappa: 0.7572, kb_relative_information_score: 3761.7296, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.841, predictive_accuracy: 0.8409, prior_entropy: 1.7151, recall: 0.8409, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.7318, kappa: 0.5915, kb_relative_information_score: 2821.8814, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7418, predictive_accuracy: 0.7348, prior_entropy: 1.7151, recall: 0.7348, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.7675, kappa: 0.6484, kb_relative_information_score: 3204.2064, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7737, predictive_accuracy: 0.772, prior_entropy: 1.7151, recall: 0.772, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9227, kappa: 0.8832, kb_relative_information_score: 4700.491, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9227, predictive_accuracy: 0.9228, prior_entropy: 1.7151, recall: 0.9228, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.4207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8284, kappa: 0.7381, kb_relative_information_score: 3679.3207, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8442, predictive_accuracy: 0.8294, prior_entropy: 1.7151, recall: 0.8294, relative_absolute_error: 0.3715, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.6072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9046, kappa: 0.8558, kb_relative_information_score: 4192.2109, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9047, predictive_accuracy: 0.9049, prior_entropy: 1.7151, recall: 0.9049, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8453, kappa: 0.7642, kb_relative_information_score: 3833.4991, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8552, predictive_accuracy: 0.846, prior_entropy: 1.7151, recall: 0.846, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5844,

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