OpenML
Supervised Data Stream Classification on vehicleNorm

Supervised Data Stream Classification on vehicleNorm

Task 7316 Supervised Data Stream Classification vehicleNorm 306 runs submitted
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  • binstreams ecmlpkdd2015 streamensembles streams study_11 study_16
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8445, kappa: 0.6902, kb_relative_information_score: 68002, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8504, predictive_accuracy: 0.8451, prior_entropy: 1, recall: 0.8451, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.8383, kappa: 0.6781, kb_relative_information_score: 66810, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8452, predictive_accuracy: 0.839, prior_entropy: 1, recall: 0.839, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8221, kappa: 0.6475, kb_relative_information_score: 63798, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8361, predictive_accuracy: 0.8238, prior_entropy: 1, recall: 0.8238, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8059, kappa: 0.6189, kb_relative_information_score: 60978, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8337, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8448, kappa: 0.6907, kb_relative_information_score: 68050, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8502, predictive_accuracy: 0.8453, prior_entropy: 1, recall: 0.8453, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.8441, kappa: 0.6893, kb_relative_information_score: 67920, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.85, predictive_accuracy: 0.8447, prior_entropy: 1, recall: 0.8447, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.8441, kappa: 0.6894, kb_relative_information_score: 67930, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.85, predictive_accuracy: 0.8447, prior_entropy: 1, recall: 0.8447, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.8441, kappa: 0.6894, kb_relative_information_score: 67928, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.85, predictive_accuracy: 0.8447, prior_entropy: 1, recall: 0.8447, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.845, kappa: 0.691, kb_relative_information_score: 68082, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8503, predictive_accuracy: 0.8455, prior_entropy: 1, recall: 0.8455, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8447, kappa: 0.6906, kb_relative_information_score: 68040, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8504, predictive_accuracy: 0.8453, prior_entropy: 1, recall: 0.8453, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.8452, kappa: 0.6914, kb_relative_information_score: 68126, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8506, predictive_accuracy: 0.8457, prior_entropy: 1, recall: 0.8457, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.8404, kappa: 0.6821, kb_relative_information_score: 67208, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8467, predictive_accuracy: 0.8411, prior_entropy: 1, recall: 0.8411, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.7973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8287, kappa: 0.6595, kb_relative_information_score: 64976, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8377, predictive_accuracy: 0.8297, prior_entropy: 1, recall: 0.8297, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.8444, kappa: 0.69, kb_relative_information_score: 67982, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8502, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.8444, kappa: 0.6899, kb_relative_information_score: 67972, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.85, predictive_accuracy: 0.8449, prior_entropy: 1, recall: 0.8449, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.803, kappa: 0.6143, kb_relative_information_score: 60530, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8353, predictive_accuracy: 0.8072, prior_entropy: 1, recall: 0.8072, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8266, kappa: 0.655, kb_relative_information_score: 64536, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8348, predictive_accuracy: 0.8275, prior_entropy: 1, recall: 0.8275, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.803, kappa: 0.6143, kb_relative_information_score: 60530, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8353, predictive_accuracy: 0.8072, prior_entropy: 1, recall: 0.8072, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.857, kappa: 0.7148, kb_relative_information_score: 70428, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8612, predictive_accuracy: 0.8574, prior_entropy: 1, recall: 0.8574, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8472, kappa: 0.6954, kb_relative_information_score: 68514, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8522, predictive_accuracy: 0.8477, prior_entropy: 1, recall: 0.8477, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.8303, kappa: 0.6614, kb_relative_information_score: 65166, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8338, predictive_accuracy: 0.8307, prior_entropy: 1, recall: 0.8307, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.803, kappa: 0.6143, kb_relative_information_score: 60530, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8353, predictive_accuracy: 0.8072, prior_entropy: 1, recall: 0.8072, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.803, kappa: 0.6143, kb_relative_information_score: 60530, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8353, predictive_accuracy: 0.8072, prior_entropy: 1, recall: 0.8072, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.847, kappa: 0.6952, kb_relative_information_score: 68494, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8527, predictive_accuracy: 0.8476, prior_entropy: 1, recall: 0.8476, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8455, kappa: 0.6921, kb_relative_information_score: 68194, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8511, predictive_accuracy: 0.8461, prior_entropy: 1, recall: 0.8461, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.8031, kappa: 0.6144, kb_relative_information_score: 60532, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8352, predictive_accuracy: 0.8072, prior_entropy: 1, recall: 0.8072, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.803, kappa: 0.6143, kb_relative_information_score: 60530, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8353, predictive_accuracy: 0.8072, prior_entropy: 1, recall: 0.8072, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8193, kappa: 0.6406, kb_relative_information_score: 63114, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8273, predictive_accuracy: 0.8203, prior_entropy: 1, recall: 0.8203, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.8321, kappa: 0.6655, kb_relative_information_score: 65570, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8382, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8301, kappa: 0.6621, kb_relative_information_score: 65236, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8384, predictive_accuracy: 0.8311, prior_entropy: 1, recall: 0.8311, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.803, kappa: 0.6141, kb_relative_information_score: 60510, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8349, predictive_accuracy: 0.8071, prior_entropy: 1, recall: 0.8071, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8406, kappa: 0.6851, kb_relative_information_score: 60859.04, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8599, predictive_accuracy: 0.8425, prior_entropy: 1, recall: 0.8425, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8498, kappa: 0.7009, kb_relative_information_score: 69054, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8562, predictive_accuracy: 0.8504, prior_entropy: 1, recall: 0.8504, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8504, kappa: 0.702, kb_relative_information_score: 69164, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8568, predictive_accuracy: 0.851, prior_entropy: 1, recall: 0.851, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.386, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8504, kappa: 0.702, kb_relative_information_score: 69164, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8568, predictive_accuracy: 0.851, prior_entropy: 1, recall: 0.851, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.386, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8472, kappa: 0.6953, kb_relative_information_score: 68506, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.852, predictive_accuracy: 0.8476, prior_entropy: 1, recall: 0.8476, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8265, kappa: 0.655, kb_relative_information_score: 64532, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8348, predictive_accuracy: 0.8275, prior_entropy: 1, recall: 0.8275, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8446, kappa: 0.6902, kb_relative_information_score: 68008, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8502, predictive_accuracy: 0.8451, prior_entropy: 1, recall: 0.8451, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8258, kappa: 0.6535, kb_relative_information_score: 64384, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8339, predictive_accuracy: 0.8267, prior_entropy: 1, recall: 0.8267, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8447, kappa: 0.6906, kb_relative_information_score: 67741.0723, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8507, predictive_accuracy: 0.8453, prior_entropy: 1, recall: 0.8453, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.852, kappa: 0.7054, kb_relative_information_score: 67269.5492, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8598, predictive_accuracy: 0.8527, prior_entropy: 1, recall: 0.8527, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.852, kappa: 0.7056, kb_relative_information_score: 66450.1521, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8599, predictive_accuracy: 0.8528, prior_entropy: 1, recall: 0.8528, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8437, kappa: 0.6903, kb_relative_information_score: 65383.4095, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8583, predictive_accuracy: 0.8452, prior_entropy: 1, recall: 0.8452, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8448, kappa: 0.6925, kb_relative_information_score: 63665.0684, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8595, predictive_accuracy: 0.8463, prior_entropy: 1, recall: 0.8463, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8406, kappa: 0.6851, kb_relative_information_score: 61413.2756, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8599, predictive_accuracy: 0.8425, prior_entropy: 1, recall: 0.8425, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.832, kappa: 0.6695, kb_relative_information_score: 63450.9932, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8576, predictive_accuracy: 0.8347, prior_entropy: 1, recall: 0.8347, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.359, root_relative_squared_error: 0.718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8435, kappa: 0.6908, kb_relative_information_score: 66400.1072, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8628, predictive_accuracy: 0.8454, prior_entropy: 1, recall: 0.8454, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7069,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8447, kappa: 0.6906, kb_relative_information_score: 68044, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8506, predictive_accuracy: 0.8453, prior_entropy: 1, recall: 0.8453, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8414, kappa: 0.6842, kb_relative_information_score: 67416, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8483, predictive_accuracy: 0.8421, prior_entropy: 1, recall: 0.8421, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8258, kappa: 0.6535, kb_relative_information_score: 52727.7132, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.834, predictive_accuracy: 0.8268, prior_entropy: 1, recall: 0.8268, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8206, kappa: 0.6477, kb_relative_information_score: 63820, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8494, predictive_accuracy: 0.8239, prior_entropy: 1, recall: 0.8239, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8305, kappa: 0.6671, kb_relative_information_score: 65728, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.859, predictive_accuracy: 0.8336, prior_entropy: 1, recall: 0.8336, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.408, root_relative_squared_error: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.829, kappa: 0.6642, kb_relative_information_score: 65410.45, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8581, predictive_accuracy: 0.8321, prior_entropy: 1, recall: 0.8321, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8346, kappa: 0.6741, kb_relative_information_score: 64172.9652, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.858, predictive_accuracy: 0.8371, prior_entropy: 1, recall: 0.8371, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7846,

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

Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
predictions The desired output format Predictions (optional)

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