Task
Supervised Classification on ada_agnostic

Supervised Classification on ada_agnostic

Task 3896 Supervised Classification ada_agnostic 102456 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_1 study_123 study_14 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

102456 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: 0.846, f_measure: 0.8177, kappa: 0.4968, kb_relative_information_score: 1804.8562, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8158, predictive_accuracy: 0.8244, prior_entropy: 0.8085, recall: 0.8244, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8334, kappa: 0.5408, kb_relative_information_score: 1818.8932, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8321, predictive_accuracy: 0.8391, prior_entropy: 0.8085, recall: 0.8391, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.343, root_relative_squared_error: 0.7942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8325, kappa: 0.5387, kb_relative_information_score: 1837.11, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.831, predictive_accuracy: 0.838, prior_entropy: 0.8085, recall: 0.838, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8102, kappa: 0.4834, kb_relative_information_score: 1822.5222, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.808, predictive_accuracy: 0.8135, prior_entropy: 0.8085, recall: 0.8135, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8298, kappa: 0.5323, kb_relative_information_score: 1833.3832, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8281, predictive_accuracy: 0.8349, prior_entropy: 0.8085, recall: 0.8349, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8324, kappa: 0.538, kb_relative_information_score: 1816.2939, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8311, predictive_accuracy: 0.8382, prior_entropy: 0.8085, recall: 0.8382, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8335, kappa: 0.5411, kb_relative_information_score: 1813.8577, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8321, predictive_accuracy: 0.8391, prior_entropy: 0.8085, recall: 0.8391, relative_absolute_error: 0.5631, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8294, kappa: 0.5311, kb_relative_information_score: 1831.8476, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8276, predictive_accuracy: 0.8345, prior_entropy: 0.8085, recall: 0.8345, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8294, kappa: 0.529, kb_relative_information_score: 1833.5545, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.828, predictive_accuracy: 0.8356, prior_entropy: 0.8085, recall: 0.8356, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.8085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8337, kappa: 0.5416, kb_relative_information_score: 1818.1883, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8323, predictive_accuracy: 0.8393, prior_entropy: 0.8085, recall: 0.8393, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8322, kappa: 0.5379, kb_relative_information_score: 1837.4251, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8308, predictive_accuracy: 0.8378, prior_entropy: 0.8085, recall: 0.8378, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.7973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.8189, kappa: 0.5023, kb_relative_information_score: 1801.9289, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8167, predictive_accuracy: 0.8242, prior_entropy: 0.8085, recall: 0.8242, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.8421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8312, kappa: 0.5336, kb_relative_information_score: 1836.421, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8301, predictive_accuracy: 0.8376, prior_entropy: 0.8085, recall: 0.8376, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.823, kappa: 0.5128, kb_relative_information_score: 1809.4782, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8211, predictive_accuracy: 0.8288, prior_entropy: 0.8085, recall: 0.8288, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8159, kappa: 0.4962, kb_relative_information_score: 1805.5461, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8136, predictive_accuracy: 0.8203, prior_entropy: 0.8085, recall: 0.8203, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.8213, kappa: 0.5067, kb_relative_information_score: 1812.4456, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8195, predictive_accuracy: 0.8277, prior_entropy: 0.8085, recall: 0.8277, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8306, kappa: 0.5326, kb_relative_information_score: 1825.6174, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8293, predictive_accuracy: 0.8367, prior_entropy: 0.8085, recall: 0.8367, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.8091, kappa: 0.4817, kb_relative_information_score: 1786.7961, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8071, predictive_accuracy: 0.8117, prior_entropy: 0.8085, recall: 0.8117, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8229, kappa: 0.5132, kb_relative_information_score: 1792.4144, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8208, predictive_accuracy: 0.8281, prior_entropy: 0.8085, recall: 0.8281, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8166, kappa: 0.501, kb_relative_information_score: 1805.7649, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8146, predictive_accuracy: 0.8196, prior_entropy: 0.8085, recall: 0.8196, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.8166, kappa: 0.4987, kb_relative_information_score: 1782.6257, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8143, predictive_accuracy: 0.8207, prior_entropy: 0.8085, recall: 0.8207, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.827, kappa: 0.5234, kb_relative_information_score: 1816.3396, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8253, predictive_accuracy: 0.8327, prior_entropy: 0.8085, recall: 0.8327, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.8069, kappa: 0.4788, kb_relative_information_score: 1798.8354, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8057, predictive_accuracy: 0.8084, prior_entropy: 0.8085, recall: 0.8084, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.8129, kappa: 0.4891, kb_relative_information_score: 1764.7488, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8106, predictive_accuracy: 0.817, prior_entropy: 0.8085, recall: 0.817, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8227, kappa: 0.5123, kb_relative_information_score: 1782.0916, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8207, predictive_accuracy: 0.8281, prior_entropy: 0.8085, recall: 0.8281, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8245, kappa: 0.5154, kb_relative_information_score: 1797.9233, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.823, predictive_accuracy: 0.831, prior_entropy: 0.8085, recall: 0.831, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.8102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8335, kappa: 0.5411, kb_relative_information_score: 1819.629, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8321, predictive_accuracy: 0.8391, prior_entropy: 0.8085, recall: 0.8391, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8232, kappa: 0.5159, kb_relative_information_score: 1846.874, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8212, predictive_accuracy: 0.8277, prior_entropy: 0.8085, recall: 0.8277, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8167, kappa: 0.4993, kb_relative_information_score: 1844.8137, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8145, predictive_accuracy: 0.8207, prior_entropy: 0.8085, recall: 0.8207, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8275, kappa: 0.5237, kb_relative_information_score: 1805.6535, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8261, predictive_accuracy: 0.8338, prior_entropy: 0.8085, recall: 0.8338, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8296, kappa: 0.5298, kb_relative_information_score: 1845.3657, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8283, predictive_accuracy: 0.8358, prior_entropy: 0.8085, recall: 0.8358, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.351, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.8187, kappa: 0.5042, kb_relative_information_score: 1787.754, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8165, predictive_accuracy: 0.8229, prior_entropy: 0.8085, recall: 0.8229, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.8511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.7982, kappa: 0.4589, kb_relative_information_score: 1741.2867, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7981, predictive_accuracy: 0.7983, prior_entropy: 0.8085, recall: 0.7983, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4384, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8258, kappa: 0.5188, kb_relative_information_score: 1803.9224, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8243, predictive_accuracy: 0.8323, prior_entropy: 0.8085, recall: 0.8323, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.8084, kappa: 0.4745, kb_relative_information_score: 1739.6494, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8059, predictive_accuracy: 0.8137, prior_entropy: 0.8085, recall: 0.8137, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.81, kappa: 0.4819, kb_relative_information_score: 1744.5844, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8077, predictive_accuracy: 0.8137, prior_entropy: 0.8085, recall: 0.8137, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8194, kappa: 0.5022, kb_relative_information_score: 1809.5227, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8175, predictive_accuracy: 0.8257, prior_entropy: 0.8085, recall: 0.8257, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.356, root_relative_squared_error: 0.8242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.8028, kappa: 0.4634, kb_relative_information_score: 1770.5985, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8005, predictive_accuracy: 0.806, prior_entropy: 0.8085, recall: 0.806, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.8272, kappa: 0.5239, kb_relative_information_score: 1822.9625, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8255, predictive_accuracy: 0.833, prior_entropy: 0.8085, recall: 0.833, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.8187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8182, kappa: 0.5036, kb_relative_information_score: 1797.0548, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.816, predictive_accuracy: 0.822, prior_entropy: 0.8085, recall: 0.822, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8173, kappa: 0.4993, kb_relative_information_score: 1774.7781, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.815, predictive_accuracy: 0.822, prior_entropy: 0.8085, recall: 0.822, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.8097, kappa: 0.4834, kb_relative_information_score: 1793.1266, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8078, predictive_accuracy: 0.8124, prior_entropy: 0.8085, recall: 0.8124, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.8315, kappa: 0.5347, kb_relative_information_score: 1826.1473, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8303, predictive_accuracy: 0.8378, prior_entropy: 0.8085, recall: 0.8378, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.8145, kappa: 0.4916, kb_relative_information_score: 1772.5774, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8121, predictive_accuracy: 0.8194, prior_entropy: 0.8085, recall: 0.8194, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8285, kappa: 0.5255, kb_relative_information_score: 1811.1386, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8275, predictive_accuracy: 0.8354, prior_entropy: 0.8085, recall: 0.8354, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7977, kappa: 0.4519, kb_relative_information_score: 1748.5992, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7958, predictive_accuracy: 0.8001, prior_entropy: 0.8085, recall: 0.8001, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8183, kappa: 0.5024, kb_relative_information_score: 1790.7445, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8161, predictive_accuracy: 0.8229, prior_entropy: 0.8085, recall: 0.8229, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.8501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8154, kappa: 0.4955, kb_relative_information_score: 1779.8023, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8131, predictive_accuracy: 0.8196, prior_entropy: 0.8085, recall: 0.8196, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.8808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8323, kappa: 0.537, kb_relative_information_score: 1836.6093, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8311, predictive_accuracy: 0.8384, prior_entropy: 0.8085, recall: 0.8384, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8187, kappa: 0.4997, kb_relative_information_score: 1803.8115, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8168, predictive_accuracy: 0.8253, prior_entropy: 0.8085, recall: 0.8253, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8266, kappa: 0.5207, kb_relative_information_score: 1804.839, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8252, predictive_accuracy: 0.8332, prior_entropy: 0.8085, recall: 0.8332, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.8066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8276, kappa: 0.5248, kb_relative_information_score: 1826.8145, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8259, predictive_accuracy: 0.8334, prior_entropy: 0.8085, recall: 0.8334, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8238, kappa: 0.5157, kb_relative_information_score: 1823.4802, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8218, predictive_accuracy: 0.829, prior_entropy: 0.8085, recall: 0.829, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.357, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.8176, kappa: 0.504, kb_relative_information_score: 1811.0232, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8156, predictive_accuracy: 0.8205, prior_entropy: 0.8085, recall: 0.8205, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.832, kappa: 0.5363, kb_relative_information_score: 1832.6754, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8309, predictive_accuracy: 0.8382, prior_entropy: 0.8085, recall: 0.8382, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8108, kappa: 0.4851, kb_relative_information_score: 1750.8631, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8087, predictive_accuracy: 0.8141, prior_entropy: 0.8085, recall: 0.8141, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.8056, kappa: 0.4711, kb_relative_information_score: 1766.9291, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8034, predictive_accuracy: 0.8089, prior_entropy: 0.8085, recall: 0.8089, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8175, kappa: 0.496, kb_relative_information_score: 1795.6225, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8156, predictive_accuracy: 0.8242, prior_entropy: 0.8085, recall: 0.8242, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8205, kappa: 0.5047, kb_relative_information_score: 1807.4399, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8187, predictive_accuracy: 0.827, prior_entropy: 0.8085, recall: 0.827, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8244, kappa: 0.5148, kb_relative_information_score: 1797.9385, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8229, predictive_accuracy: 0.831, prior_entropy: 0.8085, recall: 0.831, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.8101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8314, kappa: 0.5344, kb_relative_information_score: 1834.7685, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8303, predictive_accuracy: 0.8378, prior_entropy: 0.8085, recall: 0.8378, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8303, kappa: 0.5338, kb_relative_information_score: 1835.2494, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8286, predictive_accuracy: 0.8354, prior_entropy: 0.8085, recall: 0.8354, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8177, kappa: 0.5021, kb_relative_information_score: 1798.5997, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8155, predictive_accuracy: 0.8216, prior_entropy: 0.8085, recall: 0.8216, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8234, kappa: 0.5139, kb_relative_information_score: 1794.5557, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8215, predictive_accuracy: 0.829, prior_entropy: 0.8085, recall: 0.829, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.806, kappa: 0.4731, kb_relative_information_score: 1851.6214, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.804, predictive_accuracy: 0.8089, prior_entropy: 0.8085, recall: 0.8089, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.9022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8315, kappa: 0.5347, kb_relative_information_score: 1825.5893, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8303, predictive_accuracy: 0.8378, prior_entropy: 0.8085, recall: 0.8378, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8228, kappa: 0.5123, kb_relative_information_score: 1790.9684, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8209, predictive_accuracy: 0.8286, prior_entropy: 0.8085, recall: 0.8286, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.811, kappa: 0.485, kb_relative_information_score: 1853.0847, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8088, predictive_accuracy: 0.8146, prior_entropy: 0.8085, recall: 0.8146, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.8126, kappa: 0.4896, kb_relative_information_score: 1833.8572, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8104, predictive_accuracy: 0.8159, prior_entropy: 0.8085, recall: 0.8159, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.8291, kappa: 0.5282, kb_relative_information_score: 1846.4424, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8278, predictive_accuracy: 0.8354, prior_entropy: 0.8085, recall: 0.8354, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.351, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8183, kappa: 0.4984, kb_relative_information_score: 1801.5666, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8164, predictive_accuracy: 0.8249, prior_entropy: 0.8085, recall: 0.8249, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8197, kappa: 0.5034, kb_relative_information_score: 1802.3428, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8177, predictive_accuracy: 0.8257, prior_entropy: 0.8085, recall: 0.8257, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8322, kappa: 0.5379, kb_relative_information_score: 1835.2263, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8308, predictive_accuracy: 0.8378, prior_entropy: 0.8085, recall: 0.8378, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.8108, kappa: 0.4841, kb_relative_information_score: 1752.3206, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8085, predictive_accuracy: 0.8146, prior_entropy: 0.8085, recall: 0.8146, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.8226, kappa: 0.512, kb_relative_information_score: 1795.5706, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8206, predictive_accuracy: 0.8281, prior_entropy: 0.8085, recall: 0.8281, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.821, kappa: 0.5055, kb_relative_information_score: 1805.76, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8193, predictive_accuracy: 0.8277, prior_entropy: 0.8085, recall: 0.8277, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.829, kappa: 0.5279, kb_relative_information_score: 1830.6857, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8277, predictive_accuracy: 0.8354, prior_entropy: 0.8085, recall: 0.8354, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.8085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8181, kappa: 0.4989, kb_relative_information_score: 1797.4724, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.816, predictive_accuracy: 0.8242, prior_entropy: 0.8085, recall: 0.8242, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.8399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.822, kappa: 0.515, kb_relative_information_score: 1831.2824, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.82, predictive_accuracy: 0.8253, prior_entropy: 0.8085, recall: 0.8253, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8335, kappa: 0.5411, kb_relative_information_score: 1817.7921, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8321, predictive_accuracy: 0.8391, prior_entropy: 0.8085, recall: 0.8391, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.802, kappa: 0.4667, kb_relative_information_score: 1798.4661, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8011, predictive_accuracy: 0.8029, prior_entropy: 0.8085, recall: 0.8029, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8307, kappa: 0.5337, kb_relative_information_score: 1818.6682, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8291, predictive_accuracy: 0.8363, prior_entropy: 0.8085, recall: 0.8363, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8325, kappa: 0.5387, kb_relative_information_score: 1838.1176, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.831, predictive_accuracy: 0.838, prior_entropy: 0.8085, recall: 0.838, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.8058, kappa: 0.4674, kb_relative_information_score: 1735.2084, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8031, predictive_accuracy: 0.811, prior_entropy: 0.8085, recall: 0.811, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8271, kappa: 0.5223, kb_relative_information_score: 1805.0146, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8257, predictive_accuracy: 0.8336, prior_entropy: 0.8085, recall: 0.8336, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.8068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.8171, kappa: 0.5025, kb_relative_information_score: 1819.105, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8151, predictive_accuracy: 0.82, prior_entropy: 0.8085, recall: 0.82, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.8835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8132, kappa: 0.4883, kb_relative_information_score: 1774.8499, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8108, predictive_accuracy: 0.8178, prior_entropy: 0.8085, recall: 0.8178, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8159, kappa: 0.4953, kb_relative_information_score: 1791.1217, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8135, predictive_accuracy: 0.8207, prior_entropy: 0.8085, recall: 0.8207, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8277, kappa: 0.5242, kb_relative_information_score: 1812.4844, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8263, predictive_accuracy: 0.8341, prior_entropy: 0.8085, recall: 0.8341, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.8031, kappa: 0.4682, kb_relative_information_score: 1788.2812, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8018, predictive_accuracy: 0.8047, prior_entropy: 0.8085, recall: 0.8047, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8282, kappa: 0.5248, kb_relative_information_score: 1809.1766, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8272, predictive_accuracy: 0.8352, prior_entropy: 0.8085, recall: 0.8352, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.8073, kappa: 0.4757, kb_relative_information_score: 1750.9866, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8051, predictive_accuracy: 0.8106, prior_entropy: 0.8085, recall: 0.8106, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.8294, kappa: 0.5289, kb_relative_information_score: 1837.3392, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8282, predictive_accuracy: 0.8358, prior_entropy: 0.8085, recall: 0.8358, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.8083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8202, kappa: 0.5036, kb_relative_information_score: 1809.263, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8184, predictive_accuracy: 0.8268, prior_entropy: 0.8085, recall: 0.8268, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.8285, kappa: 0.5268, kb_relative_information_score: 1831.6006, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8271, predictive_accuracy: 0.8347, prior_entropy: 0.8085, recall: 0.8347, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8271, kappa: 0.5223, kb_relative_information_score: 1808.8292, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8257, predictive_accuracy: 0.8336, prior_entropy: 0.8085, recall: 0.8336, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8276, kappa: 0.5229, kb_relative_information_score: 1811.7247, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8267, predictive_accuracy: 0.8347, prior_entropy: 0.8085, recall: 0.8347, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.829, kappa: 0.5279, kb_relative_information_score: 1832.2092, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8277, predictive_accuracy: 0.8354, prior_entropy: 0.8085, recall: 0.8354, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.8091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.8245, kappa: 0.5154, kb_relative_information_score: 1801.805, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.823, predictive_accuracy: 0.831, prior_entropy: 0.8085, recall: 0.831, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.8104, kappa: 0.4799, kb_relative_information_score: 1785.1128, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8079, predictive_accuracy: 0.8157, prior_entropy: 0.8085, recall: 0.8157, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8988,

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