Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113807 runs submitted
0 likes downloaded by 3 people , 6 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

113807 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.797, kappa: 0.4955, kb_relative_information_score: 1684.9292, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7986, predictive_accuracy: 0.8061, prior_entropy: 0.8733, recall: 0.8061, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7736, kappa: 0.4604, kb_relative_information_score: 1305.4972, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7768, predictive_accuracy: 0.7713, prior_entropy: 0.8733, recall: 0.7713, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8468, kappa: 0.6288, kb_relative_information_score: 2939.1573, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8462, predictive_accuracy: 0.8475, prior_entropy: 0.8733, recall: 0.8475, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8554, kappa: 0.6483, kb_relative_information_score: 3098.2531, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8547, predictive_accuracy: 0.8568, prior_entropy: 0.8733, recall: 0.8568, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8324, kappa: 0.5944, kb_relative_information_score: 2323.2922, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8319, predictive_accuracy: 0.8331, prior_entropy: 0.8733, recall: 0.8331, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7776, kappa: 0.453, kb_relative_information_score: 1453.5049, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7755, predictive_accuracy: 0.7831, prior_entropy: 0.8733, recall: 0.7831, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8323, kappa: 0.5932, kb_relative_information_score: 2394.6035, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8315, predictive_accuracy: 0.8335, prior_entropy: 0.8733, recall: 0.8335, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8342, kappa: 0.5972, kb_relative_information_score: 2541.5067, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8333, predictive_accuracy: 0.8355, prior_entropy: 0.8733, recall: 0.8355, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.775, kappa: 0.4601, kb_relative_information_score: 1331.5616, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7762, predictive_accuracy: 0.7739, prior_entropy: 0.8733, recall: 0.7739, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8572, kappa: 0.653, kb_relative_information_score: 3051.7531, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8565, predictive_accuracy: 0.8584, prior_entropy: 0.8733, recall: 0.8584, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7934, kappa: 0.4857, kb_relative_information_score: 1634.8695, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7957, predictive_accuracy: 0.8035, prior_entropy: 0.8733, recall: 0.8035, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8335, kappa: 0.596, kb_relative_information_score: 2414.076, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8327, predictive_accuracy: 0.8346, prior_entropy: 0.8733, recall: 0.8346, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.849, kappa: 0.634, kb_relative_information_score: 2820.8328, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8484, predictive_accuracy: 0.8499, prior_entropy: 0.8733, recall: 0.8499, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8431, kappa: 0.6206, kb_relative_information_score: 2490.7479, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8427, predictive_accuracy: 0.8436, prior_entropy: 0.8733, recall: 0.8436, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.8097, kappa: 0.5327, kb_relative_information_score: 1950.2134, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8085, predictive_accuracy: 0.814, prior_entropy: 0.8733, recall: 0.814, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.8217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8334, kappa: 0.5966, kb_relative_information_score: 2334.0295, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8328, predictive_accuracy: 0.8342, prior_entropy: 0.8733, recall: 0.8342, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8483, kappa: 0.6331, kb_relative_information_score: 2872.6648, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8479, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8262, kappa: 0.5786, kb_relative_information_score: 2280.2863, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8254, predictive_accuracy: 0.8272, prior_entropy: 0.8733, recall: 0.8272, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8075, kappa: 0.529, kb_relative_information_score: 1946.1104, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.806, predictive_accuracy: 0.8107, prior_entropy: 0.8733, recall: 0.8107, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.82, kappa: 0.561, kb_relative_information_score: 2145.9312, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8188, predictive_accuracy: 0.8224, prior_entropy: 0.8733, recall: 0.8224, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7952, kappa: 0.4925, kb_relative_information_score: 1661.2464, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7954, predictive_accuracy: 0.8031, prior_entropy: 0.8733, recall: 0.8031, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8554, kappa: 0.6485, kb_relative_information_score: 3080.398, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8547, predictive_accuracy: 0.8566, prior_entropy: 0.8733, recall: 0.8566, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8139, kappa: 0.5491, kb_relative_information_score: 2085.2812, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8131, predictive_accuracy: 0.8148, prior_entropy: 0.8733, recall: 0.8148, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7952, kappa: 0.4925, kb_relative_information_score: 1661.2464, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7954, predictive_accuracy: 0.8031, prior_entropy: 0.8733, recall: 0.8031, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8524, kappa: 0.6414, kb_relative_information_score: 2930.3241, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8517, predictive_accuracy: 0.8536, prior_entropy: 0.8733, recall: 0.8536, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8553, kappa: 0.6483, kb_relative_information_score: 3095.73, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8546, predictive_accuracy: 0.8566, prior_entropy: 0.8733, recall: 0.8566, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8726, kappa: 0.6909, kb_relative_information_score: 3374.1483, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8721, predictive_accuracy: 0.8734, prior_entropy: 0.8733, recall: 0.8734, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8483, kappa: 0.6331, kb_relative_information_score: 2872.6648, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8479, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7699, kappa: 0.461, kb_relative_information_score: 1245.5609, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7793, predictive_accuracy: 0.7648, prior_entropy: 0.8733, recall: 0.7648, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.8034, kappa: 0.5144, kb_relative_information_score: 1810.425, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8029, predictive_accuracy: 0.8096, prior_entropy: 0.8733, recall: 0.8096, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8458, kappa: 0.6269, kb_relative_information_score: 2601.015, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8454, predictive_accuracy: 0.8464, prior_entropy: 0.8733, recall: 0.8464, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7918, kappa: 0.4809, kb_relative_information_score: 1624.951, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7947, predictive_accuracy: 0.8026, prior_entropy: 0.8733, recall: 0.8026, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.8179, kappa: 0.5558, kb_relative_information_score: 2094.4694, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8167, predictive_accuracy: 0.8203, prior_entropy: 0.8733, recall: 0.8203, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.8054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8485, kappa: 0.6326, kb_relative_information_score: 2823.6867, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8478, predictive_accuracy: 0.8494, prior_entropy: 0.8733, recall: 0.8494, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8703, kappa: 0.6874, kb_relative_information_score: 3565.1783, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8704, predictive_accuracy: 0.8703, prior_entropy: 0.8733, recall: 0.8703, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8738, kappa: 0.6947, kb_relative_information_score: 3510.4207, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8734, predictive_accuracy: 0.8742, prior_entropy: 0.8733, recall: 0.8742, relative_absolute_error: 0.3363, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.8175, kappa: 0.5581, kb_relative_information_score: 2177.8961, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8168, predictive_accuracy: 0.8183, prior_entropy: 0.8733, recall: 0.8183, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8342, kappa: 0.5972, kb_relative_information_score: 2541.5067, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8333, predictive_accuracy: 0.8355, prior_entropy: 0.8733, recall: 0.8355, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7749, kappa: 0.4547, kb_relative_information_score: 1376.7024, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.774, predictive_accuracy: 0.7761, prior_entropy: 0.8733, recall: 0.7761, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8483, kappa: 0.6331, kb_relative_information_score: 2872.6648, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8479, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7776, kappa: 0.453, kb_relative_information_score: 1453.5049, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7755, predictive_accuracy: 0.7831, prior_entropy: 0.8733, recall: 0.7831, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8342, kappa: 0.5972, kb_relative_information_score: 2541.5067, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8333, predictive_accuracy: 0.8355, prior_entropy: 0.8733, recall: 0.8355, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8553, kappa: 0.6483, kb_relative_information_score: 3095.73, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8546, predictive_accuracy: 0.8566, prior_entropy: 0.8733, recall: 0.8566, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7918, kappa: 0.4809, kb_relative_information_score: 1624.951, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7947, predictive_accuracy: 0.8026, prior_entropy: 0.8733, recall: 0.8026, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8378, kappa: 0.6063, kb_relative_information_score: 2496.7524, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.837, predictive_accuracy: 0.839, prior_entropy: 0.8733, recall: 0.839, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.797, kappa: 0.4955, kb_relative_information_score: 1684.9292, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7986, predictive_accuracy: 0.8061, prior_entropy: 0.8733, recall: 0.8061, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8339, kappa: 0.5967, kb_relative_information_score: 2390.5624, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8331, predictive_accuracy: 0.8351, prior_entropy: 0.8733, recall: 0.8351, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8384, kappa: 0.6079, kb_relative_information_score: 2465.1449, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8376, predictive_accuracy: 0.8394, prior_entropy: 0.8733, recall: 0.8394, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8553, kappa: 0.6491, kb_relative_information_score: 3087.6463, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8547, predictive_accuracy: 0.8562, prior_entropy: 0.8733, recall: 0.8562, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7749, kappa: 0.4547, kb_relative_information_score: 1376.7024, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.774, predictive_accuracy: 0.7761, prior_entropy: 0.8733, recall: 0.7761, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.7752, kappa: 0.4593, kb_relative_information_score: 1336.7026, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7758, predictive_accuracy: 0.7746, prior_entropy: 0.8733, recall: 0.7746, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8719, kappa: 0.6904, kb_relative_information_score: 3504.4105, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8716, predictive_accuracy: 0.8721, prior_entropy: 0.8733, recall: 0.8721, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8204, kappa: 0.5619, kb_relative_information_score: 2146.3859, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8192, predictive_accuracy: 0.8227, prior_entropy: 0.8733, recall: 0.8227, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.8007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8426, kappa: 0.6173, kb_relative_information_score: 2705.4412, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8417, predictive_accuracy: 0.844, prior_entropy: 0.8733, recall: 0.844, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8485, kappa: 0.6326, kb_relative_information_score: 2823.6867, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8478, predictive_accuracy: 0.8494, prior_entropy: 0.8733, recall: 0.8494, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.836, kappa: 0.6024, kb_relative_information_score: 2489.8949, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8353, predictive_accuracy: 0.837, prior_entropy: 0.8733, recall: 0.837, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8294, kappa: 0.5878, kb_relative_information_score: 2291.4351, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8291, predictive_accuracy: 0.8298, prior_entropy: 0.8733, recall: 0.8298, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.8156, kappa: 0.5546, kb_relative_information_score: 2159.1991, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8153, predictive_accuracy: 0.8159, prior_entropy: 0.8733, recall: 0.8159, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8525, kappa: 0.6424, kb_relative_information_score: 2870.2158, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8519, predictive_accuracy: 0.8534, prior_entropy: 0.8733, recall: 0.8534, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.7517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8425, kappa: 0.617, kb_relative_information_score: 2751.2973, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8417, predictive_accuracy: 0.844, prior_entropy: 0.8733, recall: 0.844, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7949, kappa: 0.4901, kb_relative_information_score: 1661.5212, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7965, predictive_accuracy: 0.8042, prior_entropy: 0.8733, recall: 0.8042, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.843, kappa: 0.6187, kb_relative_information_score: 2728.1731, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8422, predictive_accuracy: 0.8442, prior_entropy: 0.8733, recall: 0.8442, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8649, kappa: 0.6724, kb_relative_information_score: 3260.2678, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8644, predictive_accuracy: 0.8657, prior_entropy: 0.8733, recall: 0.8657, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7934, kappa: 0.4857, kb_relative_information_score: 1634.8695, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7957, predictive_accuracy: 0.8035, prior_entropy: 0.8733, recall: 0.8035, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8722, kappa: 0.6908, kb_relative_information_score: 3446.4895, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8719, predictive_accuracy: 0.8727, prior_entropy: 0.8733, recall: 0.8727, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.817, kappa: 0.5558, kb_relative_information_score: 2184.7113, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.816, predictive_accuracy: 0.8183, prior_entropy: 0.8733, recall: 0.8183, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8516, kappa: 0.6405, kb_relative_information_score: 2770.5074, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.851, predictive_accuracy: 0.8523, prior_entropy: 0.8733, recall: 0.8523, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8668, kappa: 0.6767, kb_relative_information_score: 3287.3061, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8662, predictive_accuracy: 0.8677, prior_entropy: 0.8733, recall: 0.8677, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7934, kappa: 0.4857, kb_relative_information_score: 1634.8695, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7957, predictive_accuracy: 0.8035, prior_entropy: 0.8733, recall: 0.8035, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8499, kappa: 0.6368, kb_relative_information_score: 2876.7046, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8495, predictive_accuracy: 0.8505, prior_entropy: 0.8733, recall: 0.8505, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8332, kappa: 0.5956, kb_relative_information_score: 2410.3894, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8325, predictive_accuracy: 0.8342, prior_entropy: 0.8733, recall: 0.8342, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8423, kappa: 0.6169, kb_relative_information_score: 2742.3595, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8415, predictive_accuracy: 0.8436, prior_entropy: 0.8733, recall: 0.8436, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8359, kappa: 0.602, kb_relative_information_score: 2490.1426, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8351, predictive_accuracy: 0.8368, prior_entropy: 0.8733, recall: 0.8368, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8698, kappa: 0.6852, kb_relative_information_score: 3483.0857, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8695, predictive_accuracy: 0.8701, prior_entropy: 0.8733, recall: 0.8701, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8695, kappa: 0.6837, kb_relative_information_score: 3377.4939, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.869, predictive_accuracy: 0.8701, prior_entropy: 0.8733, recall: 0.8701, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7699, kappa: 0.461, kb_relative_information_score: 1245.5609, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7793, predictive_accuracy: 0.7648, prior_entropy: 0.8733, recall: 0.7648, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8399, kappa: 0.6123, kb_relative_information_score: 2425.058, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8393, predictive_accuracy: 0.8407, prior_entropy: 0.8733, recall: 0.8407, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8446, kappa: 0.6243, kb_relative_information_score: 2511.7797, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8442, predictive_accuracy: 0.8449, prior_entropy: 0.8733, recall: 0.8449, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.7689, kappa: 0.4592, kb_relative_information_score: 1233.1193, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7787, predictive_accuracy: 0.7637, prior_entropy: 0.8733, recall: 0.7637, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8742, kappa: 0.6954, kb_relative_information_score: 3440.027, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8738, predictive_accuracy: 0.8747, prior_entropy: 0.8733, recall: 0.8747, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8553, kappa: 0.6483, kb_relative_information_score: 3095.73, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8546, predictive_accuracy: 0.8566, prior_entropy: 0.8733, recall: 0.8566, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8685, kappa: 0.6811, kb_relative_information_score: 3280.7251, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.868, predictive_accuracy: 0.8694, prior_entropy: 0.8733, recall: 0.8694, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7603, kappa: 0.4471, kb_relative_information_score: 1119.1755, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7934, kappa: 0.4857, kb_relative_information_score: 1636.5532, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7957, predictive_accuracy: 0.8035, prior_entropy: 0.8733, recall: 0.8035, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.8501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8344, kappa: 0.598, kb_relative_information_score: 2541.3736, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8336, predictive_accuracy: 0.8357, prior_entropy: 0.8733, recall: 0.8357, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8342, kappa: 0.5972, kb_relative_information_score: 2541.5067, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8333, predictive_accuracy: 0.8355, prior_entropy: 0.8733, recall: 0.8355, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.855, kappa: 0.6482, kb_relative_information_score: 3105.6489, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8544, predictive_accuracy: 0.856, prior_entropy: 0.8733, recall: 0.856, relative_absolute_error: 0.4142, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.8288, kappa: 0.5841, kb_relative_information_score: 2267.2857, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8279, predictive_accuracy: 0.8301, prior_entropy: 0.8733, recall: 0.8301, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.8006, kappa: 0.5064, kb_relative_information_score: 1737.143, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8008, predictive_accuracy: 0.8079, prior_entropy: 0.8733, recall: 0.8079, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8409, kappa: 0.6149, kb_relative_information_score: 2441.1145, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8404, predictive_accuracy: 0.8416, prior_entropy: 0.8733, recall: 0.8416, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.85, kappa: 0.6368, kb_relative_information_score: 2788.761, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8495, predictive_accuracy: 0.8507, prior_entropy: 0.8733, recall: 0.8507, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.817, kappa: 0.5558, kb_relative_information_score: 2184.7113, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.816, predictive_accuracy: 0.8183, prior_entropy: 0.8733, recall: 0.8183, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8685, kappa: 0.6811, kb_relative_information_score: 3281.3771, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.868, predictive_accuracy: 0.8694, prior_entropy: 0.8733, recall: 0.8694, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.7349,

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

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs