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: 0.8638, f_measure: 0.834, kappa: 0.6733, kb_relative_information_score: 65090.7042, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8602, predictive_accuracy: 0.8367, prior_entropy: 1, recall: 0.8367, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7761,
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: 0.5, 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: 0.8182, f_measure: 0.807, kappa: 0.623, kb_relative_information_score: 61389.0534, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8435, predictive_accuracy: 0.8115, prior_entropy: 1, recall: 0.8115, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8315, kappa: 0.6687, kb_relative_information_score: 63599.4472, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8583, predictive_accuracy: 0.8344, prior_entropy: 1, recall: 0.8344, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8466, kappa: 0.6958, kb_relative_information_score: 61964.5142, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8605, predictive_accuracy: 0.8479, prior_entropy: 1, recall: 0.8479, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.834, kappa: 0.6733, kb_relative_information_score: 65284.5845, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.86, predictive_accuracy: 0.8366, prior_entropy: 1, recall: 0.8366, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8532, kappa: 0.7078, kb_relative_information_score: 57482.1345, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8604, predictive_accuracy: 0.8539, prior_entropy: 1, recall: 0.8539, relative_absolute_error: 0.4482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8475, kappa: 0.6958, kb_relative_information_score: 34558.3729, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8517, predictive_accuracy: 0.8479, prior_entropy: 1, recall: 0.8479, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.334, kappa: 0.0001, kb_relative_information_score: 3.6018, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.5235, predictive_accuracy: 0.5001, prior_entropy: 1, recall: 0.5001, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.0391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8394, kappa: 0.683, kb_relative_information_score: 66768.786, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8607, predictive_accuracy: 0.8415, prior_entropy: 1, recall: 0.8415, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.8342, kappa: 0.6736, kb_relative_information_score: 66372, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8597, predictive_accuracy: 0.8368, prior_entropy: 1, recall: 0.8368, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.8411, kappa: 0.6851, kb_relative_information_score: 67506, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8556, predictive_accuracy: 0.8426, prior_entropy: 1, recall: 0.8426, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8362, kappa: 0.6771, kb_relative_information_score: 65260.3653, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8594, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8378, kappa: 0.6798, kb_relative_information_score: 67030.0437, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8588, predictive_accuracy: 0.8399, prior_entropy: 1, recall: 0.8399, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7047, kappa: 0.4358, kb_relative_information_score: 33871.8001, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7653, predictive_accuracy: 0.7179, prior_entropy: 1, recall: 0.7179, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8669,
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: 0.5, 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: 0.8722, f_measure: 0.8337, kappa: 0.6693, kb_relative_information_score: 56345.2688, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8421, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7805, kappa: 0.5663, kb_relative_information_score: 55481.3503, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7973, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.852, kappa: 0.7055, kb_relative_information_score: 57339.0552, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8595, predictive_accuracy: 0.8527, prior_entropy: 1, recall: 0.8527, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8447, kappa: 0.6906, kb_relative_information_score: 68048, mean_absolute_error: 0.1547, 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: 0.3094, 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: 0.8458, f_measure: 0.8452, kappa: 0.6916, kb_relative_information_score: 68146, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8516, predictive_accuracy: 0.8458, prior_entropy: 1, recall: 0.8458, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8374, kappa: 0.6793, kb_relative_information_score: 65649.187, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8598, predictive_accuracy: 0.8397, prior_entropy: 1, recall: 0.8397, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8397, kappa: 0.681, kb_relative_information_score: 67094, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.847, predictive_accuracy: 0.8405, prior_entropy: 1, recall: 0.8405, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8232, kappa: 0.65, kb_relative_information_score: 64040, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8384, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.8444, kappa: 0.69, kb_relative_information_score: 67986, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8503, 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: 0.8447, 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: 0.8501, 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: 0.8451, f_measure: 0.8445, kappa: 0.6902, kb_relative_information_score: 68008, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8504, 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: 0.3935, root_relative_squared_error: 0.7871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.8409, kappa: 0.6831, kb_relative_information_score: 67308, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8474, predictive_accuracy: 0.8416, prior_entropy: 1, recall: 0.8416, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8405, kappa: 0.6823, kb_relative_information_score: 67228, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8469, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.8408, kappa: 0.6829, kb_relative_information_score: 67286, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8474, predictive_accuracy: 0.8415, prior_entropy: 1, recall: 0.8415, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8422, kappa: 0.686, kb_relative_information_score: 55366.6981, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8502, predictive_accuracy: 0.843, prior_entropy: 1, recall: 0.843, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.8329, kappa: 0.6679, kb_relative_information_score: 65802, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8423, predictive_accuracy: 0.8339, prior_entropy: 1, recall: 0.8339, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8447, kappa: 0.6906, kb_relative_information_score: 68048, mean_absolute_error: 0.1547, 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: 0.3094, 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: 0.8976, f_measure: 0.8431, kappa: 0.6878, kb_relative_information_score: 55478.4109, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8514, predictive_accuracy: 0.8439, prior_entropy: 1, recall: 0.8439, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.8444, kappa: 0.69, kb_relative_information_score: 67986, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8503, 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: 0.8428, f_measure: 0.8421, kappa: 0.6855, kb_relative_information_score: 67542, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8483, predictive_accuracy: 0.8428, prior_entropy: 1, recall: 0.8428, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8517, kappa: 0.7049, kb_relative_information_score: 57581.4787, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8593, predictive_accuracy: 0.8524, prior_entropy: 1, recall: 0.8524, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8432, kappa: 0.688, kb_relative_information_score: 55640.1322, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8514, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.8409, kappa: 0.6831, kb_relative_information_score: 67308, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8474, predictive_accuracy: 0.8416, prior_entropy: 1, recall: 0.8416, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.8439, kappa: 0.6892, kb_relative_information_score: 67902, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8503, predictive_accuracy: 0.8446, prior_entropy: 1, recall: 0.8446, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8535, kappa: 0.7083, kb_relative_information_score: 57610.3759, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8609, predictive_accuracy: 0.8542, prior_entropy: 1, recall: 0.8542, relative_absolute_error: 0.4469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8439, kappa: 0.689, kb_relative_information_score: 66763.834, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8497, predictive_accuracy: 0.8445, prior_entropy: 1, recall: 0.8445, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8442, kappa: 0.6896, kb_relative_information_score: 67133.0384, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8503, predictive_accuracy: 0.8448, prior_entropy: 1, recall: 0.8448, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8427, kappa: 0.687, kb_relative_information_score: 55592.789, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.851, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8427, kappa: 0.687, kb_relative_information_score: 55592.789, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.851, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8452, kappa: 0.693, kb_relative_information_score: 55237.9206, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8582, predictive_accuracy: 0.8465, prior_entropy: 1, recall: 0.8465, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6851,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.8176, kappa: 0.637, kb_relative_information_score: 51252.173, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.825, predictive_accuracy: 0.8185, prior_entropy: 1, recall: 0.8185, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8317, kappa: 0.6646, kb_relative_information_score: 55856.068, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8372, predictive_accuracy: 0.8323, prior_entropy: 1, recall: 0.8323, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7604,
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: 0.8327, f_measure: 0.8303, kappa: 0.6624, kb_relative_information_score: 54859.4443, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8379, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7467, kappa: 0.5063, kb_relative_information_score: 34678.6849, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7819, predictive_accuracy: 0.7532, prior_entropy: 1, recall: 0.7532, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.802, kappa: 0.6041, kb_relative_information_score: 41620.3376, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8023, predictive_accuracy: 0.8021, prior_entropy: 1, recall: 0.8021, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8176, kappa: 0.6361, kb_relative_information_score: 37544.7508, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8208, predictive_accuracy: 0.818, prior_entropy: 1, recall: 0.818, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8414, kappa: 0.6846, kb_relative_information_score: 55097.0247, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8508, predictive_accuracy: 0.8423, prior_entropy: 1, recall: 0.8423, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6924,

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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