OpenML
Supervised Classification on semeion

Supervised Classification on semeion

Task 9964 Supervised Classification semeion 20292 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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20292 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9349, kappa: 0.9275, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9359, predictive_accuracy: 0.9347, prior_entropy: 3.3218, recall: 0.9347, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8256, kappa: 0.8033, kb_relative_information_score: 0.8147, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8385, predictive_accuracy: 0.823, prior_entropy: 3.3218, recall: 0.823, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, kappa: 0.0211, kb_relative_information_score: 0.0796, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1205, prior_entropy: 3.3218, recall: 0.1205, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, kappa: 0.0651, kb_relative_information_score: 0.1207, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1601, prior_entropy: 3.3218, recall: 0.1601, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4099, root_relative_squared_error: 1.3662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, kappa: 0.049, kb_relative_information_score: 0.1057, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1456, prior_entropy: 3.3218, recall: 0.1456, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4134, root_relative_squared_error: 1.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7471, kappa: 0.7391, kb_relative_information_score: 0.7537, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8388, predictive_accuracy: 0.7652, prior_entropy: 3.3218, recall: 0.7652, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8927, kappa: 0.8752, kb_relative_information_score: 0.8825, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9062, predictive_accuracy: 0.8876, prior_entropy: 3.3218, recall: 0.8876, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9306, kappa: 0.9219, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9337, predictive_accuracy: 0.9297, prior_entropy: 3.3218, recall: 0.9297, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5168, kappa: 0.0337, kb_relative_information_score: 0.0913, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1318, prior_entropy: 3.3218, recall: 0.1318, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.6335, kappa: 0.533, kb_relative_information_score: 0.5599, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9115, predictive_accuracy: 0.58, prior_entropy: 3.3218, recall: 0.58, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.5116, kappa: 0.4052, kb_relative_information_score: 0.4396, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9135, predictive_accuracy: 0.4652, prior_entropy: 3.3218, recall: 0.4652, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3271, root_relative_squared_error: 1.0902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9262, kappa: 0.9163, kb_relative_information_score: 0.9213, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.931, predictive_accuracy: 0.9247, prior_entropy: 3.3218, recall: 0.9247, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.4091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, kappa: 0.0092, kb_relative_information_score: 0.0685, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1099, prior_entropy: 3.3218, recall: 0.1099, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5119, kappa: 0.0239, kb_relative_information_score: 0.0822, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.123, prior_entropy: 3.3218, recall: 0.123, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9531, kappa: 0.9477, kb_relative_information_score: 0.9507, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9539, predictive_accuracy: 0.9529, prior_entropy: 3.3218, recall: 0.9529, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, kappa: 0.0211, kb_relative_information_score: 0.0796, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1205, prior_entropy: 3.3218, recall: 0.1205, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9599, kappa: 0.9554, kb_relative_information_score: 0.9579, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9602, predictive_accuracy: 0.9598, prior_entropy: 3.3218, recall: 0.9598, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5318, kappa: 0.0637, kb_relative_information_score: 0.1194, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1588, prior_entropy: 3.3218, recall: 0.1588, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9331, kappa: 0.9254, kb_relative_information_score: 0.9296, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9343, predictive_accuracy: 0.9328, prior_entropy: 3.3218, recall: 0.9328, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, kappa: 0.0441, kb_relative_information_score: 0.1011, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1412, prior_entropy: 3.3218, recall: 0.1412, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.3814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.6904, kappa: 0.6078, kb_relative_information_score: 0.6303, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8979, predictive_accuracy: 0.6472, prior_entropy: 3.3218, recall: 0.6472, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9349, kappa: 0.9275, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9359, predictive_accuracy: 0.9347, prior_entropy: 3.3218, recall: 0.9347, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8998, kappa: 0.8877, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9031, predictive_accuracy: 0.8989, prior_entropy: 3.3218, recall: 0.8989, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4474, f_measure: 0.0045, kappa: -0.1051, kb_relative_information_score: -0.0399, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0037, predictive_accuracy: 0.0056, prior_entropy: 3.3218, recall: 0.0056, relative_absolute_error: 1.1049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4459, root_relative_squared_error: 1.4865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9642, kappa: 0.9602, kb_relative_information_score: 0.9625, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9648, predictive_accuracy: 0.9642, prior_entropy: 3.3218, recall: 0.9642, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9561, kappa: 0.9512, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9569, predictive_accuracy: 0.9561, prior_entropy: 3.3218, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9561, kappa: 0.9512, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9569, predictive_accuracy: 0.9561, prior_entropy: 3.3218, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9575, kappa: 0.9526, kb_relative_information_score: 0.9553, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9594, predictive_accuracy: 0.9573, prior_entropy: 3.3218, recall: 0.9573, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9606, kappa: 0.9561, kb_relative_information_score: 0.9586, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9617, predictive_accuracy: 0.9605, prior_entropy: 3.3218, recall: 0.9605, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.4592, kappa: 0.3944, kb_relative_information_score: 0.43, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4838, predictive_accuracy: 0.4551, prior_entropy: 3.3218, recall: 0.4551, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3301, root_relative_squared_error: 1.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9349, kappa: 0.9275, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9359, predictive_accuracy: 0.9347, prior_entropy: 3.3218, recall: 0.9347, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9349, kappa: 0.9275, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9359, predictive_accuracy: 0.9347, prior_entropy: 3.3218, recall: 0.9347, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9269, kappa: 0.917, kb_relative_information_score: 0.9219, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9325, predictive_accuracy: 0.9253, prior_entropy: 3.3218, recall: 0.9253, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9538, kappa: 0.9484, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9545, predictive_accuracy: 0.9535, prior_entropy: 3.3218, recall: 0.9535, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.938, kappa: 0.9309, kb_relative_information_score: 0.9349, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9389, predictive_accuracy: 0.9379, prior_entropy: 3.3218, recall: 0.9379, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9349, kappa: 0.9275, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9359, predictive_accuracy: 0.9347, prior_entropy: 3.3218, recall: 0.9347, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9538, kappa: 0.9484, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9545, predictive_accuracy: 0.9535, prior_entropy: 3.3218, recall: 0.9535, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9349, kappa: 0.9275, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9359, predictive_accuracy: 0.9347, prior_entropy: 3.3218, recall: 0.9347, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9331, kappa: 0.9254, kb_relative_information_score: 0.9296, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9343, predictive_accuracy: 0.9328, prior_entropy: 3.3218, recall: 0.9328, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9439, kappa: 0.9372, kb_relative_information_score: 0.9409, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9451, predictive_accuracy: 0.9435, prior_entropy: 3.3218, recall: 0.9435, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.3543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9421, kappa: 0.9351, kb_relative_information_score: 0.9389, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9436, predictive_accuracy: 0.9416, prior_entropy: 3.3218, recall: 0.9416, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kappa: 0.0029, kb_relative_information_score: 0.0626, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1042, prior_entropy: 3.3218, recall: 0.1042, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9331, kappa: 0.9254, kb_relative_information_score: 0.9296, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9343, predictive_accuracy: 0.9328, prior_entropy: 3.3218, recall: 0.9328, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9331, kappa: 0.9254, kb_relative_information_score: 0.9296, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9343, predictive_accuracy: 0.9328, prior_entropy: 3.3218, recall: 0.9328, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9331, kappa: 0.9254, kb_relative_information_score: 0.9296, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9343, predictive_accuracy: 0.9328, prior_entropy: 3.3218, recall: 0.9328, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9443, kappa: 0.9379, kb_relative_information_score: 0.9415, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9452, predictive_accuracy: 0.9441, prior_entropy: 3.3218, recall: 0.9441, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 0.9586, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9609, predictive_accuracy: 0.9605, prior_entropy: 3.3218, recall: 0.9605, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9406, kappa: 0.9337, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9415, predictive_accuracy: 0.9404, prior_entropy: 3.3218, recall: 0.9404, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9543, kappa: 0.9491, kb_relative_information_score: 0.952, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.955, predictive_accuracy: 0.9542, prior_entropy: 3.3218, recall: 0.9542, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kappa: 0.0015, kb_relative_information_score: 0.0613, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.103, prior_entropy: 3.3218, recall: 0.103, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9457, kappa: 0.9393, kb_relative_information_score: 0.9429, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9469, predictive_accuracy: 0.9454, prior_entropy: 3.3218, recall: 0.9454, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kappa: 0.0029, kb_relative_information_score: 0.0626, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1042, prior_entropy: 3.3218, recall: 0.1042, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9543, kappa: 0.9491, kb_relative_information_score: 0.952, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.955, predictive_accuracy: 0.9542, prior_entropy: 3.3218, recall: 0.9542, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kappa: 0.0015, kb_relative_information_score: 0.0613, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.103, prior_entropy: 3.3218, recall: 0.103, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kappa: 0.0015, kb_relative_information_score: 0.0613, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.103, prior_entropy: 3.3218, recall: 0.103, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9331, kappa: 0.9254, kb_relative_information_score: 0.9296, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9343, predictive_accuracy: 0.9328, prior_entropy: 3.3218, recall: 0.9328, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, kappa: 0.0141, kb_relative_information_score: 0.073, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1142, prior_entropy: 3.3218, recall: 0.1142, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4209, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9331, kappa: 0.9254, kb_relative_information_score: 0.9296, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9343, predictive_accuracy: 0.9328, prior_entropy: 3.3218, recall: 0.9328, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kappa: 0.0029, kb_relative_information_score: 0.0626, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1042, prior_entropy: 3.3218, recall: 0.1042, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9512, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9568, predictive_accuracy: 0.9561, prior_entropy: 3.3218, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9581, kappa: 0.9533, kb_relative_information_score: 0.956, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9586, predictive_accuracy: 0.9579, prior_entropy: 3.3218, recall: 0.9579, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9599, kappa: 0.9554, kb_relative_information_score: 0.9579, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9602, predictive_accuracy: 0.9598, prior_entropy: 3.3218, recall: 0.9598, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9599, kappa: 0.9554, kb_relative_information_score: 0.9579, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9603, predictive_accuracy: 0.9598, prior_entropy: 3.3218, recall: 0.9598, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kappa: 0.0015, kb_relative_information_score: 0.0613, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.103, prior_entropy: 3.3218, recall: 0.103, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kappa: 0.0043, kb_relative_information_score: 0.0639, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1055, prior_entropy: 3.3218, recall: 0.1055, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.423, root_relative_squared_error: 1.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9507, kappa: 0.9449, kb_relative_information_score: 0.9481, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9516, predictive_accuracy: 0.9504, prior_entropy: 3.3218, recall: 0.9504, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9337, kappa: 0.9261, kb_relative_information_score: 0.9303, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9375, predictive_accuracy: 0.9335, prior_entropy: 3.3218, recall: 0.9335, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9107, kappa: 0.8996, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9211, predictive_accuracy: 0.9096, prior_entropy: 3.3218, recall: 0.9096, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8855, kappa: 0.8612, kb_relative_information_score: 0.8694, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9157, predictive_accuracy: 0.8751, prior_entropy: 3.3218, recall: 0.8751, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.5269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, kappa: 0.0036, kb_relative_information_score: 0.0633, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1048, prior_entropy: 3.3218, recall: 0.1048, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.885, kappa: 0.8591, kb_relative_information_score: 0.8672, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9271, predictive_accuracy: 0.8732, prior_entropy: 3.3218, recall: 0.8732, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.5308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9337, kappa: 0.9261, kb_relative_information_score: 0.9303, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9375, predictive_accuracy: 0.9335, prior_entropy: 3.3218, recall: 0.9335, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, kappa: 0.0183, kb_relative_information_score: 0.077, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.118, prior_entropy: 3.3218, recall: 0.118, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.42, root_relative_squared_error: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.952, kappa: 0.9463, kb_relative_information_score: 0.9494, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9544, predictive_accuracy: 0.9517, prior_entropy: 3.3218, recall: 0.9517, relative_absolute_error: 0.0537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.3277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8961, kappa: 0.8766, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9184, predictive_accuracy: 0.8889, prior_entropy: 3.3218, recall: 0.8889, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, kappa: 0.0036, kb_relative_information_score: 0.0633, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1048, prior_entropy: 3.3218, recall: 0.1048, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, kappa: 0.0036, kb_relative_information_score: 0.0633, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1048, prior_entropy: 3.3218, recall: 0.1048, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9399, kappa: 0.933, kb_relative_information_score: 0.9369, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9408, predictive_accuracy: 0.9397, prior_entropy: 3.3218, recall: 0.9397, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9456, kappa: 0.9393, kb_relative_information_score: 0.9428, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9464, predictive_accuracy: 0.9454, prior_entropy: 3.3218, recall: 0.9454, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8513, kappa: 0.8089, kb_relative_information_score: 0.82, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9158, predictive_accuracy: 0.828, prior_entropy: 3.3218, recall: 0.828, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9593, kappa: 0.9547, kb_relative_information_score: 0.9573, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9597, predictive_accuracy: 0.9592, prior_entropy: 3.3218, recall: 0.9592, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.3011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9593, kappa: 0.9547, kb_relative_information_score: 0.9573, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9599, predictive_accuracy: 0.9592, prior_entropy: 3.3218, recall: 0.9592, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.3011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9557, kappa: 0.9505, kb_relative_information_score: 0.9533, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9577, predictive_accuracy: 0.9554, prior_entropy: 3.3218, recall: 0.9554, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.3147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9543, kappa: 0.9491, kb_relative_information_score: 0.952, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9549, predictive_accuracy: 0.9542, prior_entropy: 3.3218, recall: 0.9542, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9486, kappa: 0.9428, kb_relative_information_score: 0.9461, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9494, predictive_accuracy: 0.9485, prior_entropy: 3.3218, recall: 0.9485, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.7957, kappa: 0.7886, kb_relative_information_score: 0.8004, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8484, predictive_accuracy: 0.8098, prior_entropy: 3.3218, recall: 0.8098, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9581, kappa: 0.9533, kb_relative_information_score: 0.956, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9586, predictive_accuracy: 0.9579, prior_entropy: 3.3218, recall: 0.9579, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8497, kappa: 0.8319, kb_relative_information_score: 0.8415, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8753, predictive_accuracy: 0.8487, prior_entropy: 3.3218, recall: 0.8487, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.907, kappa: 0.8954, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9097, predictive_accuracy: 0.9058, prior_entropy: 3.3218, recall: 0.9058, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4574,

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