OpenML
Supervised Data Stream Classification on IMDB.drama

Supervised Data Stream Classification on IMDB.drama

Task 2268 Supervised Data Stream Classification IMDB.drama 325 runs submitted
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  • binstreams ecmlpkdd2015 streamensembles streams study_11 study_16
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642866/Run_1847113_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642638/Run_1847000_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642528/Run_1846945_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642382/Run_1846872_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642244/Run_1846803_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642095/Run_1846729_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.5177, kappa: 0.0305, kb_relative_information_score: 40389.7933, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7254, predictive_accuracy: 0.6461, prior_entropy: 1, recall: 0.6461, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.5177, kappa: 0.0305, kb_relative_information_score: 45976.3863, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7254, predictive_accuracy: 0.6461, prior_entropy: 1, recall: 0.6461, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.455, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.5466, kappa: 0.0783, kb_relative_information_score: 48800.9929, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7743, predictive_accuracy: 0.6605, prior_entropy: 1, recall: 0.6605, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.8974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.5166, kappa: 0.0297, kb_relative_information_score: 52427.4816, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7485, predictive_accuracy: 0.6462, prior_entropy: 1, recall: 0.6462, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.435, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.5879, kappa: 0.1479, kb_relative_information_score: 57586.9111, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7862, predictive_accuracy: 0.6812, prior_entropy: 1, recall: 0.6812, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.5435, kappa: 0.0731, kb_relative_information_score: 66283.2911, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7712, predictive_accuracy: 0.6589, prior_entropy: 1, recall: 0.6589, relative_absolute_error: 0.4432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9624, kappa: 0.9179, kb_relative_information_score: 83883.4361, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9647, predictive_accuracy: 0.9629, prior_entropy: 1, recall: 0.9629, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9624, kappa: 0.9179, kb_relative_information_score: 111943, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9647, predictive_accuracy: 0.9629, prior_entropy: 1, recall: 0.9629, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.5177, kappa: 0.0305, kb_relative_information_score: 40389.7933, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7254, predictive_accuracy: 0.6461, prior_entropy: 1, recall: 0.6461, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.5037, kappa: 0.01, kb_relative_information_score: 42770.5404, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7408, predictive_accuracy: 0.6407, prior_entropy: 1, recall: 0.6407, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.5166, kappa: 0.0297, kb_relative_information_score: 45595.6769, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7485, predictive_accuracy: 0.6462, prior_entropy: 1, recall: 0.6462, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.5024, kappa: 0.0083, kb_relative_information_score: 49536.0336, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7591, predictive_accuracy: 0.6403, prior_entropy: 1, recall: 0.6403, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.5435, kappa: 0.0731, kb_relative_information_score: 56281.053, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7712, predictive_accuracy: 0.6589, prior_entropy: 1, recall: 0.6589, relative_absolute_error: 0.5139, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.5056, kappa: 0.0132, kb_relative_information_score: 72568, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.7629, predictive_accuracy: 0.6417, prior_entropy: 1, recall: 0.6417, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9603, kappa: 0.9131, kb_relative_information_score: 111433, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9629, predictive_accuracy: 0.9608, prior_entropy: 1, recall: 0.9608, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9623, kappa: 0.9176, kb_relative_information_score: 111907, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9646, predictive_accuracy: 0.9627, prior_entropy: 1, recall: 0.9627, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9624, kappa: 0.9178, kb_relative_information_score: 111935, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9647, predictive_accuracy: 0.9629, prior_entropy: 1, recall: 0.9629, relative_absolute_error: 0.0743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.3855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9624, kappa: 0.9179, kb_relative_information_score: 111943, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9647, predictive_accuracy: 0.9629, prior_entropy: 1, recall: 0.9629, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9623, kappa: 0.9178, kb_relative_information_score: 111913, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9643, predictive_accuracy: 0.9628, prior_entropy: 1, recall: 0.9628, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.193, root_relative_squared_error: 0.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9616, kappa: 0.9162, kb_relative_information_score: 111723, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9631, predictive_accuracy: 0.962, prior_entropy: 1, recall: 0.962, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.195, root_relative_squared_error: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9624, kappa: 0.9179, kb_relative_information_score: 111943, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9647, predictive_accuracy: 0.9629, prior_entropy: 1, recall: 0.9629, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9603, kappa: 0.9131, kb_relative_information_score: 111437, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9629, predictive_accuracy: 0.9608, prior_entropy: 1, recall: 0.9608, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.198, root_relative_squared_error: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9621, kappa: 0.9172, kb_relative_information_score: 111869, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9644, predictive_accuracy: 0.9626, prior_entropy: 1, recall: 0.9626, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9621, kappa: 0.9171, kb_relative_information_score: 111857, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9643, predictive_accuracy: 0.9625, prior_entropy: 1, recall: 0.9625, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.553, kappa: 0.0209, kb_relative_information_score: 11429.0307, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5478, predictive_accuracy: 0.5605, prior_entropy: 1, recall: 0.5605, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.553, kappa: 0.0209, kb_relative_information_score: 11429.0307, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5478, predictive_accuracy: 0.5605, prior_entropy: 1, recall: 0.5605, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.553, kappa: 0.0209, kb_relative_information_score: 11429.0307, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5478, predictive_accuracy: 0.5605, prior_entropy: 1, recall: 0.5605, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.553, kappa: 0.0209, kb_relative_information_score: 11429.0307, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5478, predictive_accuracy: 0.5605, prior_entropy: 1, recall: 0.5605, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9624, kappa: 0.9179, kb_relative_information_score: 111941, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9647, predictive_accuracy: 0.9629, prior_entropy: 1, recall: 0.9629, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9619, kappa: 0.9168, kb_relative_information_score: 111803, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9636, predictive_accuracy: 0.9623, prior_entropy: 1, recall: 0.9623, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.9486, kappa: 0.8878, kb_relative_information_score: 108639, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9505, predictive_accuracy: 0.9492, prior_entropy: 1, recall: 0.9492, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.5333, kappa: -0.0149, kb_relative_information_score: 1035.886, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5311, predictive_accuracy: 0.5358, prior_entropy: 1, recall: 0.5358, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6336, root_relative_squared_error: 1.2672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9622, kappa: 0.9174, kb_relative_information_score: 111883, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9644, predictive_accuracy: 0.9626, prior_entropy: 1, recall: 0.9626, relative_absolute_error: 0.0747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.5405, kappa: 0.0226, kb_relative_information_score: 29673, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5593, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6142, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.5064, kappa: 0.0069, kb_relative_information_score: 29750.3005, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5766, predictive_accuracy: 0.6371, prior_entropy: 1, recall: 0.6371, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5382, f_measure: 0.5064, kappa: 0.0069, kb_relative_information_score: 29881.4751, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5766, predictive_accuracy: 0.6371, prior_entropy: 1, recall: 0.6371, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.1157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.502, kappa: 0.004, kb_relative_information_score: 31016.2694, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5836, predictive_accuracy: 0.6378, prior_entropy: 1, recall: 0.6378, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.5027, kappa: 0.0044, kb_relative_information_score: 31898.2529, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5809, predictive_accuracy: 0.6377, prior_entropy: 1, recall: 0.6377, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.583, root_relative_squared_error: 1.1659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.5405, kappa: 0.0226, kb_relative_information_score: 29673, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5593, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6142, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.5045, kappa: 0.0053, kb_relative_information_score: 32704.6563, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.575, predictive_accuracy: 0.6372, prior_entropy: 1, recall: 0.6372, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.596, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.5045, kappa: 0.0053, kb_relative_information_score: 33185, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.575, predictive_accuracy: 0.6372, prior_entropy: 1, recall: 0.6372, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6023, root_relative_squared_error: 1.2046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.5064, kappa: 0.0069, kb_relative_information_score: 29750.3005, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5766, predictive_accuracy: 0.6371, prior_entropy: 1, recall: 0.6371, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.499, kappa: 0.0018, kb_relative_information_score: 30968.7057, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5895, predictive_accuracy: 0.638, prior_entropy: 1, recall: 0.638, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.5027, kappa: 0.0044, kb_relative_information_score: 31877.7323, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5809, predictive_accuracy: 0.6377, prior_entropy: 1, recall: 0.6377, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5829, root_relative_squared_error: 1.1658,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, f_measure: 0.5143, kappa: 0.0078, kb_relative_information_score: 18554.5999, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5572, predictive_accuracy: 0.6329, prior_entropy: 1, recall: 0.6329, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.0703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9625, kappa: 0.918, kb_relative_information_score: 109260.1949, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.965, predictive_accuracy: 0.963, prior_entropy: 1, recall: 0.963, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.5674, kappa: 0.0467, kb_relative_information_score: 24686.6061, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.5634, predictive_accuracy: 0.602, prior_entropy: 1, recall: 0.602, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9997, kb_relative_information_score: 120887, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 1, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0115, root_relative_squared_error: 0.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9997, kb_relative_information_score: 120889, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 1, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0111, root_relative_squared_error: 0.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9997, kb_relative_information_score: 120885, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 1, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0119, root_relative_squared_error: 0.0237,

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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