Task
Supervised Classification on ada_agnostic

Supervised Classification on ada_agnostic

Task 3896 Supervised Classification ada_agnostic 102456 runs submitted
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  • OpenML100 study_1 study_123 study_14 study_41 study_7 under100k under1m
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102456 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.8068, kappa: 0.4743, kb_relative_information_score: 1756.2364, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8046, predictive_accuracy: 0.81, prior_entropy: 0.8085, recall: 0.81, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.396, root_relative_squared_error: 0.9169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.8315, kappa: 0.5347, kb_relative_information_score: 1821.6057, mean_absolute_error: 0.2095, 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: 0.5613, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.7991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.8245, kappa: 0.5173, kb_relative_information_score: 1796.7902, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8226, predictive_accuracy: 0.8299, prior_entropy: 0.8085, recall: 0.8299, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.8144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.8179, kappa: 0.5016, kb_relative_information_score: 1809.9006, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8156, predictive_accuracy: 0.8222, prior_entropy: 0.8085, recall: 0.8222, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.8329, kappa: 0.5393, kb_relative_information_score: 1818.5537, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8316, predictive_accuracy: 0.8387, prior_entropy: 0.8085, recall: 0.8387, 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: 0.8543, f_measure: 0.8293, kappa: 0.5287, kb_relative_information_score: 1848.7978, mean_absolute_error: 0.2049, 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: 0.5491, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.8128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.8097, kappa: 0.4814, kb_relative_information_score: 1830.0683, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8074, predictive_accuracy: 0.8132, prior_entropy: 0.8085, recall: 0.8132, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8315, kappa: 0.536, kb_relative_information_score: 1845.9015, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8299, predictive_accuracy: 0.8369, prior_entropy: 0.8085, recall: 0.8369, relative_absolute_error: 0.5579, 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: 0.8623, f_measure: 0.8277, kappa: 0.5245, kb_relative_information_score: 1813.1789, mean_absolute_error: 0.2095, 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: 0.5613, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8276, kappa: 0.5229, kb_relative_information_score: 1809.7559, mean_absolute_error: 0.2087, 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: 0.5591, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.8041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8134, kappa: 0.4906, kb_relative_information_score: 1780.5131, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8111, predictive_accuracy: 0.8174, prior_entropy: 0.8085, recall: 0.8174, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.8941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8305, kappa: 0.5319, kb_relative_information_score: 1832.2716, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8294, predictive_accuracy: 0.8369, prior_entropy: 0.8085, recall: 0.8369, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.348, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8241, kappa: 0.5144, kb_relative_information_score: 1794.3869, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8225, predictive_accuracy: 0.8306, prior_entropy: 0.8085, recall: 0.8306, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8244, kappa: 0.5151, kb_relative_information_score: 1795.6539, mean_absolute_error: 0.2088, 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: 0.5595, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.8108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8315, kappa: 0.5347, kb_relative_information_score: 1822.5158, mean_absolute_error: 0.2095, 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: 0.5613, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.7989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.809, kappa: 0.4814, kb_relative_information_score: 1745.1033, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.807, predictive_accuracy: 0.8117, prior_entropy: 0.8085, recall: 0.8117, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.8053, kappa: 0.4723, kb_relative_information_score: 1771.0571, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8035, predictive_accuracy: 0.8075, prior_entropy: 0.8085, recall: 0.8075, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8303, kappa: 0.5318, kb_relative_information_score: 1820.954, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.829, predictive_accuracy: 0.8365, prior_entropy: 0.8085, recall: 0.8365, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.8015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8308, kappa: 0.5327, kb_relative_information_score: 1832.5964, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8296, predictive_accuracy: 0.8371, prior_entropy: 0.8085, recall: 0.8371, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8315, kappa: 0.5352, kb_relative_information_score: 1826.3261, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8301, predictive_accuracy: 0.8374, prior_entropy: 0.8085, recall: 0.8374, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8213, kappa: 0.5126, kb_relative_information_score: 1820.34, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8192, predictive_accuracy: 0.8249, prior_entropy: 0.8085, recall: 0.8249, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.8467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.8183, kappa: 0.4987, kb_relative_information_score: 1803.408, mean_absolute_error: 0.2064, 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: 0.5531, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.8249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.8132, kappa: 0.4908, kb_relative_information_score: 1817.281, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.811, predictive_accuracy: 0.8167, prior_entropy: 0.8085, recall: 0.8167, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8315, kappa: 0.5347, kb_relative_information_score: 1825.2882, 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: 0.7984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.8188, kappa: 0.5048, kb_relative_information_score: 1818.2956, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8166, predictive_accuracy: 0.8229, prior_entropy: 0.8085, recall: 0.8229, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.8184, kappa: 0.502, kb_relative_information_score: 1785.4461, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8162, predictive_accuracy: 0.8233, prior_entropy: 0.8085, recall: 0.8233, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.8505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.8286, kappa: 0.5279, kb_relative_information_score: 1829.4502, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.827, predictive_accuracy: 0.8343, prior_entropy: 0.8085, recall: 0.8343, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.8182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.8242, kappa: 0.5165, kb_relative_information_score: 1796.6737, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8223, predictive_accuracy: 0.8297, prior_entropy: 0.8085, recall: 0.8297, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8266, kappa: 0.5207, kb_relative_information_score: 1807.0769, mean_absolute_error: 0.2082, 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: 0.5578, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8326, kappa: 0.5385, kb_relative_information_score: 1816.8297, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8313, predictive_accuracy: 0.8384, prior_entropy: 0.8085, recall: 0.8384, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.343, root_relative_squared_error: 0.7941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8316, kappa: 0.5361, kb_relative_information_score: 1825.6264, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8302, predictive_accuracy: 0.8374, prior_entropy: 0.8085, recall: 0.8374, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.8111, kappa: 0.4853, kb_relative_information_score: 1755.5197, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8089, predictive_accuracy: 0.8146, prior_entropy: 0.8085, recall: 0.8146, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8302, kappa: 0.5325, kb_relative_information_score: 1815.8776, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8287, predictive_accuracy: 0.8358, prior_entropy: 0.8085, recall: 0.8358, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8322, kappa: 0.5371, kb_relative_information_score: 1822.4431, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.831, predictive_accuracy: 0.8382, prior_entropy: 0.8085, recall: 0.8382, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8227, kappa: 0.5123, kb_relative_information_score: 1785.6934, mean_absolute_error: 0.2095, 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: 0.5613, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.8228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8311, kappa: 0.5333, kb_relative_information_score: 1837.9187, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.83, predictive_accuracy: 0.8376, prior_entropy: 0.8085, recall: 0.8376, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.347, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8303, kappa: 0.5311, kb_relative_information_score: 1829.6647, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8291, predictive_accuracy: 0.8367, prior_entropy: 0.8085, recall: 0.8367, relative_absolute_error: 0.5554, 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: 0.8647, f_measure: 0.8313, kappa: 0.5355, kb_relative_information_score: 1842.1914, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8297, predictive_accuracy: 0.8367, prior_entropy: 0.8085, recall: 0.8367, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.8179, kappa: 0.4975, kb_relative_information_score: 1802.3821, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8159, predictive_accuracy: 0.8244, prior_entropy: 0.8085, recall: 0.8244, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8322, kappa: 0.5371, kb_relative_information_score: 1823.1201, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.831, predictive_accuracy: 0.8382, prior_entropy: 0.8085, recall: 0.8382, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8326, kappa: 0.5381, kb_relative_information_score: 1821.2146, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8314, predictive_accuracy: 0.8387, prior_entropy: 0.8085, recall: 0.8387, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.7956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.8086, kappa: 0.481, kb_relative_information_score: 1784.7748, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8068, predictive_accuracy: 0.811, prior_entropy: 0.8085, recall: 0.811, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8277, kappa: 0.5245, kb_relative_information_score: 1812.8472, mean_absolute_error: 0.2096, 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: 0.5615, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.8043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.832, kappa: 0.536, kb_relative_information_score: 1833.0845, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8308, predictive_accuracy: 0.8382, prior_entropy: 0.8085, recall: 0.8382, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8288, kappa: 0.5276, kb_relative_information_score: 1833.7077, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8274, predictive_accuracy: 0.8349, prior_entropy: 0.8085, recall: 0.8349, relative_absolute_error: 0.5528, 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: 0.8558, f_measure: 0.8311, kappa: 0.533, kb_relative_information_score: 1828.4814, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.83, 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: 0.3482, root_relative_squared_error: 0.8061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8213, kappa: 0.509, kb_relative_information_score: 1813.3892, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8192, predictive_accuracy: 0.8266, prior_entropy: 0.8085, recall: 0.8266, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.363, root_relative_squared_error: 0.8405,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8237, kappa: 0.5149, kb_relative_information_score: 1788.0552, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8218, predictive_accuracy: 0.8292, prior_entropy: 0.8085, recall: 0.8292, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.8222,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.831, kappa: 0.5348, kb_relative_information_score: 1840.684, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8294, predictive_accuracy: 0.8365, prior_entropy: 0.8085, recall: 0.8365, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.8101, kappa: 0.4875, kb_relative_information_score: 1799.9247, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8089, predictive_accuracy: 0.8115, prior_entropy: 0.8085, recall: 0.8115, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8244, kappa: 0.5148, kb_relative_information_score: 1796.4556, mean_absolute_error: 0.2088, 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: 0.5594, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.8106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.831, kappa: 0.5348, kb_relative_information_score: 1840.1588, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8294, predictive_accuracy: 0.8365, prior_entropy: 0.8085, recall: 0.8365, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8263, kappa: 0.5213, kb_relative_information_score: 1812.4726, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8247, predictive_accuracy: 0.8323, prior_entropy: 0.8085, recall: 0.8323, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.82,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8277, kappa: 0.5242, kb_relative_information_score: 1811.5466, 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: 0.8041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8247, kappa: 0.518, kb_relative_information_score: 1794.798, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8228, predictive_accuracy: 0.8301, prior_entropy: 0.8085, recall: 0.8301, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8235, kappa: 0.5145, kb_relative_information_score: 1796.7111, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8216, predictive_accuracy: 0.829, prior_entropy: 0.8085, recall: 0.829, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.8144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8305, kappa: 0.5319, kb_relative_information_score: 1828.6868, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8294, predictive_accuracy: 0.8369, prior_entropy: 0.8085, recall: 0.8369, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8264, kappa: 0.5206, kb_relative_information_score: 1804.8803, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.825, predictive_accuracy: 0.833, prior_entropy: 0.8085, recall: 0.833, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.8071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8287, kappa: 0.5282, kb_relative_information_score: 1827.1645, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.827, predictive_accuracy: 0.8343, prior_entropy: 0.8085, recall: 0.8343, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.8186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8315, kappa: 0.5352, kb_relative_information_score: 1826.2768, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8301, predictive_accuracy: 0.8374, prior_entropy: 0.8085, recall: 0.8374, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.815, kappa: 0.495, kb_relative_information_score: 1787.5722, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8128, predictive_accuracy: 0.8189, prior_entropy: 0.8085, recall: 0.8189, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.8894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.8092, kappa: 0.4856, kb_relative_information_score: 1827.5203, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8082, predictive_accuracy: 0.8104, prior_entropy: 0.8085, recall: 0.8104, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8102, kappa: 0.4849, kb_relative_information_score: 1825.4454, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8083, predictive_accuracy: 0.8128, prior_entropy: 0.8085, recall: 0.8128, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.384, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8312, kappa: 0.5348, kb_relative_information_score: 1824.4669, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8297, predictive_accuracy: 0.8369, prior_entropy: 0.8085, recall: 0.8369, relative_absolute_error: 0.5592, 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: 0.8309, f_measure: 0.8214, kappa: 0.5124, kb_relative_information_score: 1838.1611, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8193, predictive_accuracy: 0.8251, prior_entropy: 0.8085, recall: 0.8251, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.8531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.798, kappa: 0.4563, kb_relative_information_score: 1778.8361, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7972, predictive_accuracy: 0.799, prior_entropy: 0.8085, recall: 0.799, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8175, kappa: 0.4972, kb_relative_information_score: 1790.6195, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8154, predictive_accuracy: 0.8235, prior_entropy: 0.8085, recall: 0.8235, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.8155, kappa: 0.4972, kb_relative_information_score: 1783.6289, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8133, predictive_accuracy: 0.8189, prior_entropy: 0.8085, recall: 0.8189, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.8758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.8226, kappa: 0.512, kb_relative_information_score: 1782.5118, mean_absolute_error: 0.2085, 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: 0.5587, 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: 0.8312, f_measure: 0.8188, kappa: 0.505, kb_relative_information_score: 1786.7852, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8166, predictive_accuracy: 0.8227, prior_entropy: 0.8085, recall: 0.8227, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8324, kappa: 0.5376, kb_relative_information_score: 1819.6848, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8312, predictive_accuracy: 0.8384, prior_entropy: 0.8085, recall: 0.8384, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8206, kappa: 0.5064, kb_relative_information_score: 1797.9014, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8186, predictive_accuracy: 0.8264, prior_entropy: 0.8085, recall: 0.8264, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.363, root_relative_squared_error: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.8119, kappa: 0.4879, kb_relative_information_score: 1754.1907, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8098, predictive_accuracy: 0.8152, prior_entropy: 0.8085, recall: 0.8152, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8199, kappa: 0.5073, kb_relative_information_score: 1818.2166, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8177, predictive_accuracy: 0.8242, prior_entropy: 0.8085, recall: 0.8242, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.8035, kappa: 0.4715, kb_relative_information_score: 1866.6843, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8028, predictive_accuracy: 0.8043, prior_entropy: 0.8085, recall: 0.8043, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.0167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.8113, kappa: 0.4866, kb_relative_information_score: 1854.5638, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8092, predictive_accuracy: 0.8146, prior_entropy: 0.8085, recall: 0.8146, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.8831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.8129, kappa: 0.4886, kb_relative_information_score: 1780.1455, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8106, predictive_accuracy: 0.8172, prior_entropy: 0.8085, recall: 0.8172, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.8107, kappa: 0.4854, kb_relative_information_score: 1835.481, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8087, predictive_accuracy: 0.8137, prior_entropy: 0.8085, recall: 0.8137, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.384, root_relative_squared_error: 0.8891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8315, kappa: 0.5363, kb_relative_information_score: 1829.4818, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8299, predictive_accuracy: 0.8369, prior_entropy: 0.8085, recall: 0.8369, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.798,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8277, kappa: 0.5242, kb_relative_information_score: 1812.3301, mean_absolute_error: 0.2096, 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: 0.5617, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8314, kappa: 0.5344, kb_relative_information_score: 1824.8643, mean_absolute_error: 0.2072, 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: 0.5551, 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: 0.8659, f_measure: 0.8301, kappa: 0.5331, kb_relative_information_score: 1833.4881, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8283, predictive_accuracy: 0.8352, prior_entropy: 0.8085, recall: 0.8352, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8315, kappa: 0.5363, kb_relative_information_score: 1830.0583, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8299, predictive_accuracy: 0.8369, prior_entropy: 0.8085, recall: 0.8369, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.821, kappa: 0.5093, kb_relative_information_score: 1815.3265, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8188, predictive_accuracy: 0.8257, prior_entropy: 0.8085, recall: 0.8257, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.8437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.8095, kappa: 0.4799, kb_relative_information_score: 1846.6216, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8071, predictive_accuracy: 0.8135, prior_entropy: 0.8085, recall: 0.8135, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.813, kappa: 0.4908, kb_relative_information_score: 1843.8609, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8109, predictive_accuracy: 0.8163, prior_entropy: 0.8085, recall: 0.8163, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8269, kappa: 0.5218, kb_relative_information_score: 1805.324, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8255, predictive_accuracy: 0.8334, prior_entropy: 0.8085, recall: 0.8334, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8202, kappa: 0.5061, kb_relative_information_score: 1799.7652, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8181, predictive_accuracy: 0.8255, prior_entropy: 0.8085, recall: 0.8255, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.364, root_relative_squared_error: 0.8428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.8091, kappa: 0.4822, kb_relative_information_score: 1782.2354, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8072, predictive_accuracy: 0.8115, prior_entropy: 0.8085, recall: 0.8115, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.8784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.8207, kappa: 0.5103, kb_relative_information_score: 1837.3822, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8186, predictive_accuracy: 0.8246, prior_entropy: 0.8085, recall: 0.8246, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8315, kappa: 0.536, kb_relative_information_score: 1843.5396, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8299, predictive_accuracy: 0.8369, prior_entropy: 0.8085, recall: 0.8369, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.343, root_relative_squared_error: 0.7942,

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

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From your own software

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

OpenML APIs