Task
Supervised Classification on semeion

Supervised Classification on semeion

Task 9964 Supervised Classification semeion 15769 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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15769 Runs

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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: 0.9773, 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: 0.9637, 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: 0.9707, f_measure: 0.9474, kappa: 0.9414, kb_relative_information_score: 0.9448, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9482, predictive_accuracy: 0.9473, prior_entropy: 3.3218, recall: 0.9473, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9612, kappa: 0.9568, kb_relative_information_score: 0.9592, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9618, predictive_accuracy: 0.9611, prior_entropy: 3.3218, recall: 0.9611, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2941,
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: 0.9557, f_measure: 0.9211, kappa: 0.9114, kb_relative_information_score: 0.9166, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9243, predictive_accuracy: 0.9203, prior_entropy: 3.3218, recall: 0.9203, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7231, kappa: 0.6924, kb_relative_information_score: 0.7102, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7268, predictive_accuracy: 0.7232, prior_entropy: 3.3218, recall: 0.7232, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8905, kappa: 0.8668, kb_relative_information_score: 0.8744, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9285, predictive_accuracy: 0.8801, prior_entropy: 3.3218, recall: 0.8801, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4492, f_measure: 0.0072, kappa: -0.1016, kb_relative_information_score: -0.0366, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0062, predictive_accuracy: 0.0088, prior_entropy: 3.3218, recall: 0.0088, relative_absolute_error: 1.1014, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4452, root_relative_squared_error: 1.4842,
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: 0.9634, f_measure: 0.9343, kappa: 0.9268, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9353, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.3939, kappa: 0.3288, kb_relative_information_score: 0.3682, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4206, predictive_accuracy: 0.3961, prior_entropy: 3.3218, recall: 0.3961, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3475, root_relative_squared_error: 1.1584,
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: 0.9348, 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: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.6584, kappa: 0.6191, kb_relative_information_score: 0.6412, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6825, predictive_accuracy: 0.6573, prior_entropy: 3.3218, recall: 0.6573, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9437, kappa: 0.9372, kb_relative_information_score: 0.9408, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9446, 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: 0.5032, kappa: 0.0064, kb_relative_information_score: 0.0659, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1073, prior_entropy: 3.3218, recall: 0.1073, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.4084,
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: 0.5784, kappa: 0.1568, kb_relative_information_score: 0.2065, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.2423, prior_entropy: 3.3218, recall: 0.2423, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3893, root_relative_squared_error: 1.2976,
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: 0.4997, 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: 0.9637, 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: 0.971, f_measure: 0.948, kappa: 0.9421, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9488, predictive_accuracy: 0.9479, prior_entropy: 3.3218, recall: 0.9479, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.3403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9437, kappa: 0.9372, kb_relative_information_score: 0.9408, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9446, 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: 0.9637, 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: 0.8536, f_measure: 0.7736, kappa: 0.707, kb_relative_information_score: 0.7237, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9171, predictive_accuracy: 0.7363, prior_entropy: 3.3218, recall: 0.7363, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9549, kappa: 0.9498, kb_relative_information_score: 0.9527, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9556, predictive_accuracy: 0.9548, prior_entropy: 3.3218, recall: 0.9548, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3169,
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: 0.9707, f_measure: 0.9474, kappa: 0.9414, kb_relative_information_score: 0.9448, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9482, predictive_accuracy: 0.9473, prior_entropy: 3.3218, recall: 0.9473, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9343, kappa: 0.9268, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9353, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9587, kappa: 0.954, kb_relative_information_score: 0.9566, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9593, predictive_accuracy: 0.9586, prior_entropy: 3.3218, recall: 0.9586, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.091, root_relative_squared_error: 0.3034,
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: 0.9784, f_measure: 0.9611, kappa: 0.9568, kb_relative_information_score: 0.9593, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9615, predictive_accuracy: 0.9611, prior_entropy: 3.3218, recall: 0.9611, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, kappa: 0.0057, kb_relative_information_score: 0.0652, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1067, prior_entropy: 3.3218, recall: 0.1067, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4227, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7392, kappa: 0.6846, kb_relative_information_score: 0.7027, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8773, predictive_accuracy: 0.7163, prior_entropy: 3.3218, recall: 0.7163, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.7941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.3708, kappa: 0.2934, kb_relative_information_score: 0.3345, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8658, predictive_accuracy: 0.3647, prior_entropy: 3.3218, recall: 0.3647, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.1882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, kappa: 0.0987, kb_relative_information_score: 0.1522, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1902, prior_entropy: 3.3218, recall: 0.1902, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.4549, kappa: 0.3507, kb_relative_information_score: 0.3883, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9138, predictive_accuracy: 0.4162, prior_entropy: 3.3218, recall: 0.4162, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3417, root_relative_squared_error: 1.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, kappa: 0.0281, kb_relative_information_score: 0.0861, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1268, prior_entropy: 3.3218, recall: 0.1268, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.393,
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: 0.9787, f_measure: 0.9618, kappa: 0.9575, kb_relative_information_score: 0.9599, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9625, predictive_accuracy: 0.9617, prior_entropy: 3.3218, recall: 0.9617, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.2917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, kappa: 0.07, kb_relative_information_score: 0.1254, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1645, prior_entropy: 3.3218, recall: 0.1645, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4088, root_relative_squared_error: 1.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8692, kappa: 0.8389, kb_relative_information_score: 0.8481, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.923, predictive_accuracy: 0.855, prior_entropy: 3.3218, recall: 0.855, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9636, kappa: 0.9595, kb_relative_information_score: 0.9619, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9642, predictive_accuracy: 0.9636, prior_entropy: 3.3218, recall: 0.9636, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2844,
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: 0.9704, f_measure: 0.9468, kappa: 0.9407, kb_relative_information_score: 0.9442, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9479, predictive_accuracy: 0.9466, prior_entropy: 3.3218, recall: 0.9466, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.3443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9618, kappa: 0.9575, kb_relative_information_score: 0.9599, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9625, predictive_accuracy: 0.9617, prior_entropy: 3.3218, recall: 0.9617, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.2917,
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: 0.936, 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: 0.9264, f_measure: 0.8694, kappa: 0.8528, kb_relative_information_score: 0.8613, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8758, predictive_accuracy: 0.8675, prior_entropy: 3.3218, recall: 0.8675, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.2594, kappa: 0.2046, kb_relative_information_score: 0.2511, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8548, predictive_accuracy: 0.285, prior_entropy: 3.3218, recall: 0.285, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3782, root_relative_squared_error: 1.2605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kappa: 0.005, kb_relative_information_score: 0.0646, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1061, prior_entropy: 3.3218, recall: 0.1061, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.4094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, kappa: 0.0071, kb_relative_information_score: 0.0665, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.108, prior_entropy: 3.3218, recall: 0.108, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4224, root_relative_squared_error: 1.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8531, kappa: 0.8117, kb_relative_information_score: 0.8227, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9155, predictive_accuracy: 0.8305, prior_entropy: 3.3218, recall: 0.8305, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, kappa: 0.0057, kb_relative_information_score: 0.0652, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1067, prior_entropy: 3.3218, recall: 0.1067, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4227, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9544, 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: 0.9566, 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: 0.9662, f_measure: 0.9393, kappa: 0.9323, kb_relative_information_score: 0.9362, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9401, predictive_accuracy: 0.9391, prior_entropy: 3.3218, recall: 0.9391, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3679,
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: 0.9662, f_measure: 0.9394, kappa: 0.9323, kb_relative_information_score: 0.9362, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9431, predictive_accuracy: 0.9391, prior_entropy: 3.3218, recall: 0.9391, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9393, kappa: 0.9323, kb_relative_information_score: 0.9362, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9401, predictive_accuracy: 0.9391, prior_entropy: 3.3218, recall: 0.9391, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9587, kappa: 0.954, kb_relative_information_score: 0.9566, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9591, predictive_accuracy: 0.9586, prior_entropy: 3.3218, recall: 0.9586, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.091, root_relative_squared_error: 0.3034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, kappa: 0.0561, kb_relative_information_score: 0.1123, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1519, prior_entropy: 3.3218, recall: 0.1519, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3728,
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: 0.5043, kappa: 0.0085, kb_relative_information_score: 0.0678, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1092, prior_entropy: 3.3218, recall: 0.1092, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, kappa: 0.1366, kb_relative_information_score: 0.1876, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.2241, prior_entropy: 3.3218, recall: 0.2241, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3939, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9544, 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: 0.9752, 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: 0.9752, 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: 0.9752, 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: 0.9752, 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: 0.702, f_measure: 0.4656, kappa: 0.4041, kb_relative_information_score: 0.4391, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4908, predictive_accuracy: 0.4639, prior_entropy: 3.3218, recall: 0.4639, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9358, kappa: 0.9282, kb_relative_information_score: 0.9323, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9378, predictive_accuracy: 0.9353, prior_entropy: 3.3218, recall: 0.9353, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.3791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8651, kappa: 0.8486, kb_relative_information_score: 0.8575, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.871, predictive_accuracy: 0.8638, prior_entropy: 3.3218, recall: 0.8638, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8962, kappa: 0.8835, kb_relative_information_score: 0.8903, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9001, predictive_accuracy: 0.8952, prior_entropy: 3.3218, recall: 0.8952, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.2543, kappa: 0.2025, kb_relative_information_score: 0.2491, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8546, predictive_accuracy: 0.2831, prior_entropy: 3.3218, recall: 0.2831, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3787, root_relative_squared_error: 1.2622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, kappa: 0.1624, kb_relative_information_score: 0.2118, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.2473, prior_entropy: 3.3218, recall: 0.2473, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.388, root_relative_squared_error: 1.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5186, kappa: 0.0372, kb_relative_information_score: 0.0947, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.135, prior_entropy: 3.3218, recall: 0.135, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.3865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.534, kappa: 0.0679, kb_relative_information_score: 0.1234, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1626, prior_entropy: 3.3218, recall: 0.1626, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, kappa: 0.1379, kb_relative_information_score: 0.1889, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.2254, prior_entropy: 3.3218, recall: 0.2254, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3936, root_relative_squared_error: 1.312,
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: 0.5025, kappa: 0.005, kb_relative_information_score: 0.0646, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1061, prior_entropy: 3.3218, recall: 0.1061, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.4094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kappa: 0.005, kb_relative_information_score: 0.0646, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1061, prior_entropy: 3.3218, recall: 0.1061, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.4094,
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: 0.5025, kappa: 0.005, kb_relative_information_score: 0.0646, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1061, prior_entropy: 3.3218, recall: 0.1061, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.4094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9343, kappa: 0.9268, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9353, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9462, kappa: 0.94, kb_relative_information_score: 0.9435, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9472, predictive_accuracy: 0.946, prior_entropy: 3.3218, recall: 0.946, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.3464,
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: 0.9608, 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: 0.9756, 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: 0.9773, 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: 0.9598, 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: 0.9662, f_measure: 0.9396, kappa: 0.9323, kb_relative_information_score: 0.9363, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9412, predictive_accuracy: 0.9391, prior_entropy: 3.3218, recall: 0.9391, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9501, kappa: 0.9442, kb_relative_information_score: 0.9475, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.951, predictive_accuracy: 0.9498, prior_entropy: 3.3218, recall: 0.9498, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.3341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9217, kappa: 0.9093, kb_relative_information_score: 0.9145, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.937, predictive_accuracy: 0.9184, prior_entropy: 3.3218, recall: 0.9184, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.4259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9544, 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: 0.9566, 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: 0.9756, 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: 0.9634, f_measure: 0.9343, kappa: 0.9268, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9353, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9544, 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: 0.9566, 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: 0.6142, f_measure: 0.2918, kappa: 0.2284, kb_relative_information_score: 0.2734, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8569, predictive_accuracy: 0.3063, prior_entropy: 3.3218, recall: 0.3063, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.2416,

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