Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 59790 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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59790 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.6049, kappa: 0.2285, kb_relative_information_score: 0.2285, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6261, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.6054, kappa: 0.2292, kb_relative_information_score: 0.2292, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6265, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6208, root_relative_squared_error: 1.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.5925, kappa: 0.2169, kb_relative_information_score: 0.2169, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6286, predictive_accuracy: 0.6085, prior_entropy: 1, recall: 0.6085, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6257, root_relative_squared_error: 1.2515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.6028, kappa: 0.2269, kb_relative_information_score: 0.2269, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.627, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6217, root_relative_squared_error: 1.2434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.5999, kappa: 0.2046, kb_relative_information_score: 0.2046, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6048, predictive_accuracy: 0.6023, prior_entropy: 1, recall: 0.6023, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6306, root_relative_squared_error: 1.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5749, kappa: 0.16, kb_relative_information_score: 0.16, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5841, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.5991, kappa: 0.1985, kb_relative_information_score: 0.1985, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5994, predictive_accuracy: 0.5992, prior_entropy: 1, recall: 0.5992, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6331, root_relative_squared_error: 1.2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.5991, kappa: 0.2031, kb_relative_information_score: 0.2031, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6041, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5943, kappa: 0.1892, kb_relative_information_score: 0.1892, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5949, predictive_accuracy: 0.5946, prior_entropy: 1, recall: 0.5946, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6367, root_relative_squared_error: 1.2734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.6052, kappa: 0.2285, kb_relative_information_score: 0.2285, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6257, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.6049, kappa: 0.2285, kb_relative_information_score: 0.2285, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6261, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.5976, kappa: 0.2062, kb_relative_information_score: 0.2062, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.609, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.63, root_relative_squared_error: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.6049, kappa: 0.2285, kb_relative_information_score: 0.2285, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6261, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.5979, kappa: 0.2208, kb_relative_information_score: 0.2208, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6261, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6242, root_relative_squared_error: 1.2484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5777, kappa: 0.2, kb_relative_information_score: 0.2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6268, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.5949, kappa: 0.19, kb_relative_information_score: 0.19, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5951, predictive_accuracy: 0.595, prior_entropy: 1, recall: 0.595, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6364, root_relative_squared_error: 1.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.5901, kappa: 0.1808, kb_relative_information_score: 0.1808, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5906, predictive_accuracy: 0.5904, prior_entropy: 1, recall: 0.5904, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.64, root_relative_squared_error: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.5853, kappa: 0.1708, kb_relative_information_score: 0.1708, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5854, predictive_accuracy: 0.5854, prior_entropy: 1, recall: 0.5854, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6439, root_relative_squared_error: 1.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.5932, kappa: 0.1869, kb_relative_information_score: 0.1869, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5937, predictive_accuracy: 0.5935, prior_entropy: 1, recall: 0.5935, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6376, root_relative_squared_error: 1.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.5783, kappa: 0.1646, kb_relative_information_score: 0.1646, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5855, predictive_accuracy: 0.5823, prior_entropy: 1, recall: 0.5823, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6463, root_relative_squared_error: 1.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.5895, kappa: 0.18, kb_relative_information_score: 0.18, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5904, predictive_accuracy: 0.59, prior_entropy: 1, recall: 0.59, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.5984, kappa: 0.2215, kb_relative_information_score: 0.2215, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6263, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6239, root_relative_squared_error: 1.2478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, f_measure: 0.5952, kappa: 0.1908, kb_relative_information_score: 0.1908, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5956, predictive_accuracy: 0.5954, prior_entropy: 1, recall: 0.5954, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6361, root_relative_squared_error: 1.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.6042, kappa: 0.2138, kb_relative_information_score: 0.2138, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.61, predictive_accuracy: 0.6069, prior_entropy: 1, recall: 0.6069, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.627, root_relative_squared_error: 1.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.5866, kappa: 0.1946, kb_relative_information_score: 0.1946, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6086, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6346, root_relative_squared_error: 1.2692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.5859, kappa: 0.1731, kb_relative_information_score: 0.1731, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5871, predictive_accuracy: 0.5865, prior_entropy: 1, recall: 0.5865, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.643, root_relative_squared_error: 1.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.592, kappa: 0.1846, kb_relative_information_score: 0.1846, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5925, predictive_accuracy: 0.5923, prior_entropy: 1, recall: 0.5923, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6385, root_relative_squared_error: 1.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.5925, kappa: 0.1877, kb_relative_information_score: 0.1877, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5951, predictive_accuracy: 0.5938, prior_entropy: 1, recall: 0.5938, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6373, root_relative_squared_error: 1.2746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.5956, kappa: 0.2062, kb_relative_information_score: 0.2062, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6113, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.63, root_relative_squared_error: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.5639, kappa: 0.1392, kb_relative_information_score: 0.1392, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5734, predictive_accuracy: 0.5696, prior_entropy: 1, recall: 0.5696, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.656, root_relative_squared_error: 1.3121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5938, kappa: 0.1892, kb_relative_information_score: 0.1892, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5954, predictive_accuracy: 0.5946, prior_entropy: 1, recall: 0.5946, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6367, root_relative_squared_error: 1.2734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.5982, kappa: 0.2223, kb_relative_information_score: 0.2223, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6276, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6236, root_relative_squared_error: 1.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.5918, kappa: 0.1838, kb_relative_information_score: 0.1838, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.592, predictive_accuracy: 0.5919, prior_entropy: 1, recall: 0.5919, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6388, root_relative_squared_error: 1.2776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.457, kappa: -0.0046, kb_relative_information_score: -0.0046, mean_absolute_error: 0.5023, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.4967, predictive_accuracy: 0.4977, prior_entropy: 1, recall: 0.4977, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7087, root_relative_squared_error: 1.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.5629, kappa: 0.1431, kb_relative_information_score: 0.1431, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5777, predictive_accuracy: 0.5715, prior_entropy: 1, recall: 0.5715, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6546, root_relative_squared_error: 1.3091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.552, kappa: 0.1385, kb_relative_information_score: 0.1385, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5818, predictive_accuracy: 0.5692, prior_entropy: 1, recall: 0.5692, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6563, root_relative_squared_error: 1.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.6052, kappa: 0.23, kb_relative_information_score: 0.23, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6276, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6205, root_relative_squared_error: 1.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.5876, kappa: 0.1754, kb_relative_information_score: 0.1754, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5878, predictive_accuracy: 0.5877, prior_entropy: 1, recall: 0.5877, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6421, root_relative_squared_error: 1.2842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.6042, kappa: 0.2269, kb_relative_information_score: 0.2269, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6251, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6217, root_relative_squared_error: 1.2434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.6047, kappa: 0.2262, kb_relative_information_score: 0.2262, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6235, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.622, root_relative_squared_error: 1.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.5974, kappa: 0.2177, kb_relative_information_score: 0.2177, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6229, predictive_accuracy: 0.6088, prior_entropy: 1, recall: 0.6088, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6254, root_relative_squared_error: 1.2508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.5983, kappa: 0.1985, kb_relative_information_score: 0.1985, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6001, predictive_accuracy: 0.5992, prior_entropy: 1, recall: 0.5992, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6331, root_relative_squared_error: 1.2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6065, f_measure: 0.596, kappa: 0.2131, kb_relative_information_score: 0.2131, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6189, predictive_accuracy: 0.6065, prior_entropy: 1, recall: 0.6065, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6273, root_relative_squared_error: 1.2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.5901, kappa: 0.1808, kb_relative_information_score: 0.1808, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5907, predictive_accuracy: 0.5904, prior_entropy: 1, recall: 0.5904, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.64, root_relative_squared_error: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5611, kappa: 0.1669, kb_relative_information_score: 0.1669, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6048, predictive_accuracy: 0.5835, prior_entropy: 1, recall: 0.5835, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6454, root_relative_squared_error: 1.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.607, kappa: 0.2208, kb_relative_information_score: 0.2208, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6144, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6242, root_relative_squared_error: 1.2484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.5825, kappa: 0.1831, kb_relative_information_score: 0.1831, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6002, predictive_accuracy: 0.5915, prior_entropy: 1, recall: 0.5915, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6391, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.5801, kappa: 0.17, kb_relative_information_score: 0.17, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5892, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.2884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.6009, kappa: 0.2023, kb_relative_information_score: 0.2023, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6014, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.5983, kappa: 0.2085, kb_relative_information_score: 0.2085, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6108, predictive_accuracy: 0.6042, prior_entropy: 1, recall: 0.6042, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6291, root_relative_squared_error: 1.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5996, f_measure: 0.5932, kappa: 0.1992, kb_relative_information_score: 0.1992, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6063, predictive_accuracy: 0.5996, prior_entropy: 1, recall: 0.5996, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6328, root_relative_squared_error: 1.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.5997, kappa: 0.2023, kb_relative_information_score: 0.2023, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6027, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.5897, kappa: 0.19, kb_relative_information_score: 0.19, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6002, predictive_accuracy: 0.595, prior_entropy: 1, recall: 0.595, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6364, root_relative_squared_error: 1.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.6026, kappa: 0.2062, kb_relative_information_score: 0.2062, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6036, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.63, root_relative_squared_error: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.5929, kappa: 0.1877, kb_relative_information_score: 0.1877, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5947, predictive_accuracy: 0.5938, prior_entropy: 1, recall: 0.5938, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6373, root_relative_squared_error: 1.2746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5947, kappa: 0.2, kb_relative_information_score: 0.2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6055, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, f_measure: 0.5986, kappa: 0.1977, kb_relative_information_score: 0.1977, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5991, predictive_accuracy: 0.5988, prior_entropy: 1, recall: 0.5988, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6334, root_relative_squared_error: 1.2667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.5985, kappa: 0.1969, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6337, root_relative_squared_error: 1.2673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.5991, kappa: 0.2038, kb_relative_information_score: 0.2038, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6048, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.6053, kappa: 0.2292, kb_relative_information_score: 0.2292, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6266, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6208, root_relative_squared_error: 1.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.5985, kappa: 0.2169, kb_relative_information_score: 0.2169, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6204, predictive_accuracy: 0.6085, prior_entropy: 1, recall: 0.6085, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6257, root_relative_squared_error: 1.2515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.6049, kappa: 0.2285, kb_relative_information_score: 0.2285, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6261, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.5934, kappa: 0.1877, kb_relative_information_score: 0.1877, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5943, predictive_accuracy: 0.5938, prior_entropy: 1, recall: 0.5938, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6373, root_relative_squared_error: 1.2746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.5683, kappa: 0.1508, kb_relative_information_score: 0.1508, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5807, predictive_accuracy: 0.5754, prior_entropy: 1, recall: 0.5754, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.5997, kappa: 0.2038, kb_relative_information_score: 0.2038, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6043, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.5972, kappa: 0.2108, kb_relative_information_score: 0.2108, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6147, predictive_accuracy: 0.6054, prior_entropy: 1, recall: 0.6054, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6282, root_relative_squared_error: 1.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.5922, kappa: 0.1854, kb_relative_information_score: 0.1854, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5931, predictive_accuracy: 0.5927, prior_entropy: 1, recall: 0.5927, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6382, root_relative_squared_error: 1.2764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 0.3859, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7692, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7265, kappa: 0.4562, kb_relative_information_score: 0.1924, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7334, predictive_accuracy: 0.7281, prior_entropy: 1, recall: 0.7281, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 0.5417, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8372, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 0.5811, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8378, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8175, kappa: 0.6354, kb_relative_information_score: 0.5765, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8188, predictive_accuracy: 0.8177, prior_entropy: 1, recall: 0.8177, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.366, root_relative_squared_error: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7015, kappa: 0.4031, kb_relative_information_score: 0.2575, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7018, predictive_accuracy: 0.7015, prior_entropy: 1, recall: 0.7015, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8434, kappa: 0.6869, kb_relative_information_score: 0.6525, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8437, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7791, kappa: 0.5585, kb_relative_information_score: 0.434, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7801, predictive_accuracy: 0.7792, prior_entropy: 1, recall: 0.7792, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.6988, kappa: 0.3977, kb_relative_information_score: 0.3753, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6989, predictive_accuracy: 0.6988, prior_entropy: 1, recall: 0.6988, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.6704, kappa: 0.3408, kb_relative_information_score: 0.3132, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6704, predictive_accuracy: 0.6704, prior_entropy: 1, recall: 0.6704, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.778, kappa: 0.5562, kb_relative_information_score: 0.44, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7787, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 0.5165, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7778, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8484, kappa: 0.6969, kb_relative_information_score: 0.6751, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8486, predictive_accuracy: 0.8485, prior_entropy: 1, recall: 0.8485, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8168, kappa: 0.6338, kb_relative_information_score: 0.5913, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8175, predictive_accuracy: 0.8169, prior_entropy: 1, recall: 0.8169, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.374, root_relative_squared_error: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 0.4927, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8161, kappa: 0.6323, kb_relative_information_score: 0.4212, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8168, predictive_accuracy: 0.8162, prior_entropy: 1, recall: 0.8162, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.6995, kappa: 0.4015, kb_relative_information_score: 0.3998, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7041, predictive_accuracy: 0.7008, prior_entropy: 1, recall: 0.7008, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8257, kappa: 0.6515, kb_relative_information_score: 0.538, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.826, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.36, root_relative_squared_error: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.6422, kappa: 0.2846, kb_relative_information_score: 0.2564, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6424, predictive_accuracy: 0.6423, prior_entropy: 1, recall: 0.6423, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5237, root_relative_squared_error: 1.0473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7658, kappa: 0.5315, kb_relative_information_score: 0.5022, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7658, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8226, kappa: 0.6454, kb_relative_information_score: 0.6033, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.823, predictive_accuracy: 0.8227, prior_entropy: 1, recall: 0.8227, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.6942, kappa: 0.3931, kb_relative_information_score: 0.0495, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7026, predictive_accuracy: 0.6965, prior_entropy: 1, recall: 0.6965, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7919, kappa: 0.5838, kb_relative_information_score: 0.4374, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7922, predictive_accuracy: 0.7919, prior_entropy: 1, recall: 0.7919, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8115, kappa: 0.6231, kb_relative_information_score: 0.3153, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8118, predictive_accuracy: 0.8115, prior_entropy: 1, recall: 0.8115, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8427, kappa: 0.6854, kb_relative_information_score: 0.6553, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8429, predictive_accuracy: 0.8427, prior_entropy: 1, recall: 0.8427, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7305, kappa: 0.4615, kb_relative_information_score: 0.2975, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7316, predictive_accuracy: 0.7308, prior_entropy: 1, recall: 0.7308, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.6835, kappa: 0.3669, kb_relative_information_score: 0.3417, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6835, predictive_accuracy: 0.6835, prior_entropy: 1, recall: 0.6835, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8126, kappa: 0.6254, kb_relative_information_score: 0.5437, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8131, predictive_accuracy: 0.8127, prior_entropy: 1, recall: 0.8127, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8015, kappa: 0.6031, kb_relative_information_score: 0.4563, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8015, predictive_accuracy: 0.8015, prior_entropy: 1, recall: 0.8015, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 0.6538, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8378, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8469, kappa: 0.6938, kb_relative_information_score: 0.6181, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8475, predictive_accuracy: 0.8469, prior_entropy: 1, recall: 0.8469, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.7996, kappa: 0.5992, kb_relative_information_score: 0.4997, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7999, predictive_accuracy: 0.7996, prior_entropy: 1, recall: 0.7996, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.6904, kappa: 0.3808, kb_relative_information_score: 0.3541, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6904, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9811,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs