OpenML
Supervised Data Stream Classification on AirlinesCodrnaAdult

Supervised Data Stream Classification on AirlinesCodrnaAdult

Task 7317 Supervised Data Stream Classification AirlinesCodrnaAdult 253 runs submitted
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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/4642939/Run_1847145_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/4642552/Run_1846957_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/4642404/Run_1846883_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/4642256/Run_1846809_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/4642097/Run_1846730_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7543, kappa: 0.501, kb_relative_information_score: 407050.8134, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7542, predictive_accuracy: 0.7545, prior_entropy: 1, recall: 0.7545, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7633, kappa: 0.5198, kb_relative_information_score: 448358.2954, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7634, predictive_accuracy: 0.7632, prior_entropy: 1, recall: 0.7632, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7807, kappa: 0.5575, kb_relative_information_score: 487837.7792, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7834, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7787, kappa: 0.5534, kb_relative_information_score: 522639.4058, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7814, predictive_accuracy: 0.778, prior_entropy: 1, recall: 0.778, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7939, kappa: 0.5856, kb_relative_information_score: 558713.6757, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7989, predictive_accuracy: 0.7932, prior_entropy: 1, recall: 0.7932, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.7901, kappa: 0.5773, kb_relative_information_score: 590110.4303, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7942, predictive_accuracy: 0.7893, prior_entropy: 1, recall: 0.7893, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8017, kappa: 0.6017, kb_relative_information_score: 613977.4692, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8076, predictive_accuracy: 0.801, prior_entropy: 1, recall: 0.801, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8017, kappa: 0.6017, kb_relative_information_score: 648244, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8076, predictive_accuracy: 0.801, prior_entropy: 1, recall: 0.801, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7543, kappa: 0.501, kb_relative_information_score: 407050.8134, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7542, predictive_accuracy: 0.7545, prior_entropy: 1, recall: 0.7545, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7756, kappa: 0.5507, kb_relative_information_score: 468753.2085, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.784, predictive_accuracy: 0.7748, prior_entropy: 1, recall: 0.7748, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7787, kappa: 0.5534, kb_relative_information_score: 509499.3282, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7814, predictive_accuracy: 0.778, prior_entropy: 1, recall: 0.778, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7847, kappa: 0.5727, kb_relative_information_score: 552233.6211, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.801, predictive_accuracy: 0.7843, prior_entropy: 1, recall: 0.7843, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7901, kappa: 0.5773, kb_relative_information_score: 587588.4411, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7942, predictive_accuracy: 0.7893, prior_entropy: 1, recall: 0.7893, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7881, kappa: 0.5842, kb_relative_information_score: 612412, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8161, predictive_accuracy: 0.7885, prior_entropy: 1, recall: 0.7885, relative_absolute_error: 0.4313, 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: 0.8043, f_measure: 0.8009, kappa: 0.6001, kb_relative_information_score: 646456, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8069, predictive_accuracy: 0.8002, prior_entropy: 1, recall: 0.8002, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.447, root_relative_squared_error: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.8016, kappa: 0.6014, kb_relative_information_score: 647956, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8075, predictive_accuracy: 0.8009, prior_entropy: 1, recall: 0.8009, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.8017, kappa: 0.6015, kb_relative_information_score: 648086, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8075, predictive_accuracy: 0.8009, prior_entropy: 1, recall: 0.8009, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8005, kappa: 0.5991, kb_relative_information_score: 645620, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8061, predictive_accuracy: 0.7998, prior_entropy: 1, recall: 0.7998, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7989, kappa: 0.5957, kb_relative_information_score: 642072, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8043, predictive_accuracy: 0.7981, prior_entropy: 1, recall: 0.7981, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7792, kappa: 0.5542, kb_relative_information_score: 599820, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7815, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8017, kappa: 0.6017, kb_relative_information_score: 648244, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8076, predictive_accuracy: 0.801, prior_entropy: 1, recall: 0.801, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8006, kappa: 0.5996, kb_relative_information_score: 645912, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8066, predictive_accuracy: 0.7999, prior_entropy: 1, recall: 0.7999, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8013, kappa: 0.6008, kb_relative_information_score: 647370, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8071, predictive_accuracy: 0.8006, prior_entropy: 1, recall: 0.8006, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.7899, kappa: 0.5758, kb_relative_information_score: 565078.2388, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7923, predictive_accuracy: 0.7893, prior_entropy: 1, recall: 0.7893, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.8014, kappa: 0.601, kb_relative_information_score: 647614, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8072, predictive_accuracy: 0.8007, prior_entropy: 1, recall: 0.8007, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7805, kappa: 0.5587, kb_relative_information_score: 491537.5553, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7856, predictive_accuracy: 0.7798, prior_entropy: 1, recall: 0.7798, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7828, kappa: 0.5635, kb_relative_information_score: 491911.0296, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7884, predictive_accuracy: 0.782, prior_entropy: 1, recall: 0.782, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7833, kappa: 0.5645, kb_relative_information_score: 491230.9374, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7888, predictive_accuracy: 0.7825, prior_entropy: 1, recall: 0.7825, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.7939, kappa: 0.5895, kb_relative_information_score: 555664.7276, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8072, predictive_accuracy: 0.7933, prior_entropy: 1, recall: 0.7933, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7833, kappa: 0.5645, kb_relative_information_score: 489933.601, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7888, predictive_accuracy: 0.7825, prior_entropy: 1, recall: 0.7825, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.7557, kappa: 0.5063, kb_relative_information_score: 468311.1775, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7576, predictive_accuracy: 0.755, prior_entropy: 1, recall: 0.755, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8004, kappa: 0.5993, kb_relative_information_score: 645390, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8068, predictive_accuracy: 0.7997, prior_entropy: 1, recall: 0.7997, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7953, kappa: 0.5881, kb_relative_information_score: 634290, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8, predictive_accuracy: 0.7945, prior_entropy: 1, recall: 0.7945, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.7593, kappa: 0.5122, kb_relative_information_score: 557732, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7597, predictive_accuracy: 0.759, prior_entropy: 1, recall: 0.759, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.7903, kappa: 0.5773, kb_relative_information_score: 565437.5158, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7937, predictive_accuracy: 0.7896, prior_entropy: 1, recall: 0.7896, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.7939, kappa: 0.5895, kb_relative_information_score: 555642.2539, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8071, predictive_accuracy: 0.7933, prior_entropy: 1, recall: 0.7933, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.8015, kappa: 0.6012, kb_relative_information_score: 647738, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8072, predictive_accuracy: 0.8008, prior_entropy: 1, recall: 0.8008, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7049, kappa: 0.3991, kb_relative_information_score: 374441.7966, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7087, predictive_accuracy: 0.7093, prior_entropy: 1, recall: 0.7093, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7115, kappa: 0.4124, kb_relative_information_score: 431368.8296, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7145, predictive_accuracy: 0.7152, prior_entropy: 1, recall: 0.7152, relative_absolute_error: 0.617, 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: 0.8312, f_measure: 0.7835, kappa: 0.5628, kb_relative_information_score: 490308.3096, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7857, predictive_accuracy: 0.7829, prior_entropy: 1, recall: 0.7829, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.782, kappa: 0.56, kb_relative_information_score: 550012.8216, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7845, predictive_accuracy: 0.7814, prior_entropy: 1, recall: 0.7814, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.539, kappa: 0.1439, kb_relative_information_score: 113966, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.5982, predictive_accuracy: 0.5529, prior_entropy: 1, recall: 0.5529, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6686, root_relative_squared_error: 1.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8019, kappa: 0.6018, kb_relative_information_score: 613001.7909, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8075, predictive_accuracy: 0.8011, prior_entropy: 1, recall: 0.8011, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8285,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7049, kappa: 0.3991, kb_relative_information_score: 374441.7966, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7087, predictive_accuracy: 0.7093, prior_entropy: 1, recall: 0.7093, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8518,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.6894, kappa: 0.3739, kb_relative_information_score: 299433.8982, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.6927, predictive_accuracy: 0.6884, prior_entropy: 1, recall: 0.6884, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.6539, kappa: 0.2952, kb_relative_information_score: 293056.3343, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.6561, predictive_accuracy: 0.6589, prior_entropy: 1, recall: 0.6589, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.8017, kappa: 0.6016, kb_relative_information_score: 648120, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8075, predictive_accuracy: 0.801, prior_entropy: 1, recall: 0.801, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8004, kappa: 0.5993, kb_relative_information_score: 645432, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8067, predictive_accuracy: 0.7997, prior_entropy: 1, recall: 0.7997, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7953, kappa: 0.5882, kb_relative_information_score: 634432, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8001, predictive_accuracy: 0.7946, prior_entropy: 1, recall: 0.7946, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.7624, kappa: 0.5185, kb_relative_information_score: 564636, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7628, predictive_accuracy: 0.7622, prior_entropy: 1, recall: 0.7622, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9753,

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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