Task
Supervised Classification on MagicTelescope

Supervised Classification on MagicTelescope

Task 3954 Supervised Classification MagicTelescope 60966 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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60966 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.8318, kappa: 0.6287, kb_relative_information_score: 11285.4451, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8313, predictive_accuracy: 0.8331, prior_entropy: 0.9355, recall: 0.8331, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8402, kappa: 0.6468, kb_relative_information_score: 10954.8088, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8399, predictive_accuracy: 0.8416, prior_entropy: 0.9355, recall: 0.8416, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8257, kappa: 0.6162, kb_relative_information_score: 11183.6847, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8252, predictive_accuracy: 0.8264, prior_entropy: 0.9355, recall: 0.8264, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8418, kappa: 0.6497, kb_relative_information_score: 10973.4252, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8418, predictive_accuracy: 0.8436, prior_entropy: 0.9355, recall: 0.8436, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8395, kappa: 0.6458, kb_relative_information_score: 11108.0863, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.8406, prior_entropy: 0.9355, recall: 0.8406, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8311, kappa: 0.6278, kb_relative_information_score: 11166.2308, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8307, predictive_accuracy: 0.8321, prior_entropy: 0.9355, recall: 0.8321, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8211, kappa: 0.6059, kb_relative_information_score: 10896.5506, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8206, predictive_accuracy: 0.8219, prior_entropy: 0.9355, recall: 0.8219, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.8047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.842, kappa: 0.6504, kb_relative_information_score: 10913.8117, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8418, predictive_accuracy: 0.8436, prior_entropy: 0.9355, recall: 0.8436, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8431, kappa: 0.6524, kb_relative_information_score: 10819.2163, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8433, predictive_accuracy: 0.8451, prior_entropy: 0.9355, recall: 0.8451, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.8232, kappa: 0.6109, kb_relative_information_score: 11212.2591, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8228, predictive_accuracy: 0.824, prior_entropy: 0.9355, recall: 0.824, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.831, kappa: 0.6271, kb_relative_information_score: 11079.1443, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8306, predictive_accuracy: 0.8322, prior_entropy: 0.9355, recall: 0.8322, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8311, kappa: 0.6277, kb_relative_information_score: 11163.897, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8306, predictive_accuracy: 0.832, prior_entropy: 0.9355, recall: 0.832, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8342, kappa: 0.6342, kb_relative_information_score: 11165.409, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8337, predictive_accuracy: 0.8353, prior_entropy: 0.9355, recall: 0.8353, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8407, kappa: 0.6479, kb_relative_information_score: 10906.5877, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8404, predictive_accuracy: 0.8422, prior_entropy: 0.9355, recall: 0.8422, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8406, kappa: 0.6477, kb_relative_information_score: 10923.5725, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8404, predictive_accuracy: 0.8422, prior_entropy: 0.9355, recall: 0.8422, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.7227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8351, kappa: 0.6359, kb_relative_information_score: 11003.7699, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8347, predictive_accuracy: 0.8363, prior_entropy: 0.9355, recall: 0.8363, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8167, kappa: 0.5968, kb_relative_information_score: 10926.4386, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8163, predictive_accuracy: 0.8172, prior_entropy: 0.9355, recall: 0.8172, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8265, kappa: 0.618, kb_relative_information_score: 11252.458, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.826, predictive_accuracy: 0.8272, prior_entropy: 0.9355, recall: 0.8272, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.8266, kappa: 0.6184, kb_relative_information_score: 11053.6554, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8262, predictive_accuracy: 0.8272, prior_entropy: 0.9355, recall: 0.8272, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8416, kappa: 0.6498, kb_relative_information_score: 11022.5816, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8414, predictive_accuracy: 0.8431, prior_entropy: 0.9355, recall: 0.8431, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8372, kappa: 0.6404, kb_relative_information_score: 10959.5984, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8369, predictive_accuracy: 0.8386, prior_entropy: 0.9355, recall: 0.8386, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8413, kappa: 0.6493, kb_relative_information_score: 11019.1265, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8411, predictive_accuracy: 0.8428, prior_entropy: 0.9355, recall: 0.8428, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8426, kappa: 0.6515, kb_relative_information_score: 10887.5278, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8426, predictive_accuracy: 0.8444, prior_entropy: 0.9355, recall: 0.8444, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.342, root_relative_squared_error: 0.7163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.844, kappa: 0.6544, kb_relative_information_score: 10928.9617, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8443, predictive_accuracy: 0.8461, prior_entropy: 0.9355, recall: 0.8461, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.342, root_relative_squared_error: 0.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8279, kappa: 0.6214, kb_relative_information_score: 11093.6407, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8275, predictive_accuracy: 0.8285, prior_entropy: 0.9355, recall: 0.8285, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8392, kappa: 0.6451, kb_relative_information_score: 11093.3318, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8388, predictive_accuracy: 0.8403, prior_entropy: 0.9355, recall: 0.8403, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8405, kappa: 0.6472, kb_relative_information_score: 10972.4618, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8403, predictive_accuracy: 0.8421, prior_entropy: 0.9355, recall: 0.8421, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8275, kappa: 0.62, kb_relative_information_score: 11203.6745, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.827, predictive_accuracy: 0.8284, prior_entropy: 0.9355, recall: 0.8284, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8398, kappa: 0.6458, kb_relative_information_score: 10975.0217, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8396, predictive_accuracy: 0.8414, prior_entropy: 0.9355, recall: 0.8414, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8402, kappa: 0.6468, kb_relative_information_score: 10895.1263, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.84, predictive_accuracy: 0.8418, prior_entropy: 0.9355, recall: 0.8418, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.7243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8306, kappa: 0.6267, kb_relative_information_score: 11169.4518, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8302, predictive_accuracy: 0.8316, prior_entropy: 0.9355, recall: 0.8316, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.825, kappa: 0.615, kb_relative_information_score: 11144.7052, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8246, predictive_accuracy: 0.8256, prior_entropy: 0.9355, recall: 0.8256, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.8149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8405, kappa: 0.6475, kb_relative_information_score: 10901.104, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8403, predictive_accuracy: 0.8421, prior_entropy: 0.9355, recall: 0.8421, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8417, kappa: 0.6497, kb_relative_information_score: 10958.3302, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8417, predictive_accuracy: 0.8435, prior_entropy: 0.9355, recall: 0.8435, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8429, kappa: 0.652, kb_relative_information_score: 10817.0518, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8431, predictive_accuracy: 0.8449, prior_entropy: 0.9355, recall: 0.8449, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8355, kappa: 0.6371, kb_relative_information_score: 11196.1412, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8351, predictive_accuracy: 0.8367, prior_entropy: 0.9355, recall: 0.8367, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8424, kappa: 0.6513, kb_relative_information_score: 10922.7911, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8423, predictive_accuracy: 0.8441, prior_entropy: 0.9355, recall: 0.8441, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.7174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.8257, kappa: 0.6161, kb_relative_information_score: 11260.7939, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8252, predictive_accuracy: 0.8264, prior_entropy: 0.9355, recall: 0.8264, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.8067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8208, kappa: 0.6045, kb_relative_information_score: 11020.4824, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8202, predictive_accuracy: 0.822, prior_entropy: 0.9355, recall: 0.822, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8331, kappa: 0.6316, kb_relative_information_score: 10994.5827, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8326, predictive_accuracy: 0.8343, prior_entropy: 0.9355, recall: 0.8343, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8434, kappa: 0.6537, kb_relative_information_score: 10927.6883, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8433, predictive_accuracy: 0.8451, prior_entropy: 0.9355, recall: 0.8451, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8429, kappa: 0.6526, kb_relative_information_score: 11086.5123, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8428, predictive_accuracy: 0.8445, prior_entropy: 0.9355, recall: 0.8445, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.7245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8403, kappa: 0.6472, kb_relative_information_score: 10962.8283, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8401, predictive_accuracy: 0.8418, prior_entropy: 0.9355, recall: 0.8418, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8267, kappa: 0.6188, kb_relative_information_score: 11152.3497, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8263, predictive_accuracy: 0.8273, prior_entropy: 0.9355, recall: 0.8273, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8424, kappa: 0.651, kb_relative_information_score: 10874.3473, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8424, predictive_accuracy: 0.8442, prior_entropy: 0.9355, recall: 0.8442, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8424, kappa: 0.6509, kb_relative_information_score: 10955.9659, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8426, predictive_accuracy: 0.8444, prior_entropy: 0.9355, recall: 0.8444, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8269, kappa: 0.6186, kb_relative_information_score: 11178.74, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8264, predictive_accuracy: 0.8278, prior_entropy: 0.9355, recall: 0.8278, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8311, kappa: 0.6278, kb_relative_information_score: 11292.4849, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8306, predictive_accuracy: 0.832, prior_entropy: 0.9355, recall: 0.832, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8385, kappa: 0.6437, kb_relative_information_score: 11085.9582, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8381, predictive_accuracy: 0.8396, prior_entropy: 0.9355, recall: 0.8396, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8421, kappa: 0.6505, kb_relative_information_score: 10876.6052, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8422, predictive_accuracy: 0.844, prior_entropy: 0.9355, recall: 0.844, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8306, kappa: 0.6263, kb_relative_information_score: 11056.5209, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8302, predictive_accuracy: 0.8318, prior_entropy: 0.9355, recall: 0.8318, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8425, kappa: 0.6512, kb_relative_information_score: 10856.536, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8425, predictive_accuracy: 0.8443, prior_entropy: 0.9355, recall: 0.8443, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8234, kappa: 0.6112, kb_relative_information_score: 11186.417, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8229, predictive_accuracy: 0.8241, prior_entropy: 0.9355, recall: 0.8241, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8411, kappa: 0.6488, kb_relative_information_score: 10906.3353, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8409, predictive_accuracy: 0.8426, prior_entropy: 0.9355, recall: 0.8426, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.8249, kappa: 0.6143, kb_relative_information_score: 11175.425, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8244, predictive_accuracy: 0.8258, prior_entropy: 0.9355, recall: 0.8258, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.39, root_relative_squared_error: 0.8168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8421, kappa: 0.6512, kb_relative_information_score: 11106.1036, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8418, predictive_accuracy: 0.8434, prior_entropy: 0.9355, recall: 0.8434, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8333, kappa: 0.6325, kb_relative_information_score: 11260.9421, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8328, predictive_accuracy: 0.8342, prior_entropy: 0.9355, recall: 0.8342, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8317, kappa: 0.6286, kb_relative_information_score: 11064.7849, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8312, predictive_accuracy: 0.8329, prior_entropy: 0.9355, recall: 0.8329, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8296, kappa: 0.6246, kb_relative_information_score: 11178.3409, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8291, predictive_accuracy: 0.8304, prior_entropy: 0.9355, recall: 0.8304, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8434, kappa: 0.6536, kb_relative_information_score: 10912.2974, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8433, predictive_accuracy: 0.845, prior_entropy: 0.9355, recall: 0.845, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.8234, kappa: 0.6126, kb_relative_information_score: 11365.9556, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8234, predictive_accuracy: 0.8235, prior_entropy: 0.9355, recall: 0.8235, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8369, kappa: 0.6398, kb_relative_information_score: 10958.143, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8366, predictive_accuracy: 0.8383, prior_entropy: 0.9355, recall: 0.8383, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8312, kappa: 0.6279, kb_relative_information_score: 11176.9383, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8307, predictive_accuracy: 0.8321, prior_entropy: 0.9355, recall: 0.8321, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8308, kappa: 0.6276, kb_relative_information_score: 11367.2446, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8304, predictive_accuracy: 0.8314, prior_entropy: 0.9355, recall: 0.8314, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8342, kappa: 0.6343, kb_relative_information_score: 11163.696, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8338, predictive_accuracy: 0.8354, prior_entropy: 0.9355, recall: 0.8354, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8321, kappa: 0.63, kb_relative_information_score: 11081.881, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8317, predictive_accuracy: 0.8331, prior_entropy: 0.9355, recall: 0.8331, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8223, kappa: 0.6081, kb_relative_information_score: 10970.2958, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8218, predictive_accuracy: 0.8235, prior_entropy: 0.9355, recall: 0.8235, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.385, root_relative_squared_error: 0.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8371, kappa: 0.6403, kb_relative_information_score: 10970.5958, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8367, predictive_accuracy: 0.8384, prior_entropy: 0.9355, recall: 0.8384, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8342, kappa: 0.6343, kb_relative_information_score: 11100.4492, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8337, predictive_accuracy: 0.8352, prior_entropy: 0.9355, recall: 0.8352, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8396, kappa: 0.6457, kb_relative_information_score: 11156.2756, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8392, predictive_accuracy: 0.8409, prior_entropy: 0.9355, recall: 0.8409, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8227, kappa: 0.6091, kb_relative_information_score: 10949.4339, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8222, predictive_accuracy: 0.8239, prior_entropy: 0.9355, recall: 0.8239, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.8083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8406, kappa: 0.6479, kb_relative_information_score: 11172.4943, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8403, predictive_accuracy: 0.8419, prior_entropy: 0.9355, recall: 0.8419, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8282, kappa: 0.6215, kb_relative_information_score: 11163.6129, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8277, predictive_accuracy: 0.829, prior_entropy: 0.9355, recall: 0.829, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8391, kappa: 0.6445, kb_relative_information_score: 10948.0273, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8388, predictive_accuracy: 0.8405, prior_entropy: 0.9355, recall: 0.8405, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8426, kappa: 0.652, kb_relative_information_score: 11047.465, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8425, predictive_accuracy: 0.8442, prior_entropy: 0.9355, recall: 0.8442, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.836, kappa: 0.6382, kb_relative_information_score: 11160.3016, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8356, predictive_accuracy: 0.8371, prior_entropy: 0.9355, recall: 0.8371, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8344, kappa: 0.6348, kb_relative_information_score: 11167.3511, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8339, predictive_accuracy: 0.8354, prior_entropy: 0.9355, recall: 0.8354, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8224, kappa: 0.61, kb_relative_information_score: 11153.7898, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8222, predictive_accuracy: 0.8227, prior_entropy: 0.9355, recall: 0.8227, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.84, kappa: 0.6466, kb_relative_information_score: 11147.1385, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8397, predictive_accuracy: 0.8413, prior_entropy: 0.9355, recall: 0.8413, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8343, kappa: 0.6344, kb_relative_information_score: 11137.4443, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8338, predictive_accuracy: 0.8354, prior_entropy: 0.9355, recall: 0.8354, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8419, kappa: 0.6505, kb_relative_information_score: 11036.35, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8417, predictive_accuracy: 0.8434, prior_entropy: 0.9355, recall: 0.8434, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.7216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.8242, kappa: 0.6132, kb_relative_information_score: 11214.6594, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8238, predictive_accuracy: 0.8248, prior_entropy: 0.9355, recall: 0.8248, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.8234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8424, kappa: 0.6515, kb_relative_information_score: 10919.9886, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8423, predictive_accuracy: 0.8441, prior_entropy: 0.9355, recall: 0.8441, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8402, kappa: 0.647, kb_relative_information_score: 10948.8935, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8399, predictive_accuracy: 0.8416, prior_entropy: 0.9355, recall: 0.8416, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.7274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8317, kappa: 0.629, kb_relative_information_score: 11199.0323, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8312, predictive_accuracy: 0.8326, prior_entropy: 0.9355, recall: 0.8326, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8312, kappa: 0.6278, kb_relative_information_score: 11069.2681, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8307, predictive_accuracy: 0.8323, prior_entropy: 0.9355, recall: 0.8323, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8307, kappa: 0.627, kb_relative_information_score: 11165.1699, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8302, predictive_accuracy: 0.8314, prior_entropy: 0.9355, recall: 0.8314, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8427, kappa: 0.6516, kb_relative_information_score: 10954.682, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8429, predictive_accuracy: 0.8447, prior_entropy: 0.9355, recall: 0.8447, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8431, kappa: 0.6525, kb_relative_information_score: 10821.0517, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8434, predictive_accuracy: 0.8452, prior_entropy: 0.9355, recall: 0.8452, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8307, kappa: 0.6269, kb_relative_information_score: 11258.7862, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8303, predictive_accuracy: 0.8317, prior_entropy: 0.9355, recall: 0.8317, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8152, kappa: 0.5943, kb_relative_information_score: 10948.2132, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.815, predictive_accuracy: 0.8153, prior_entropy: 0.9355, recall: 0.8153, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8351, kappa: 0.6356, kb_relative_information_score: 10950.966, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8348, predictive_accuracy: 0.8366, prior_entropy: 0.9355, recall: 0.8366, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8299, kappa: 0.6252, kb_relative_information_score: 10977.6753, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8294, predictive_accuracy: 0.8307, prior_entropy: 0.9355, recall: 0.8307, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.8275, kappa: 0.6204, kb_relative_information_score: 11066.5401, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8271, predictive_accuracy: 0.8282, prior_entropy: 0.9355, recall: 0.8282, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8333, kappa: 0.6321, kb_relative_information_score: 11050.1301, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8328, predictive_accuracy: 0.8344, prior_entropy: 0.9355, recall: 0.8344, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8427, kappa: 0.6517, kb_relative_information_score: 10820.1186, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.843, predictive_accuracy: 0.8447, prior_entropy: 0.9355, recall: 0.8447, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.342, root_relative_squared_error: 0.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8399, kappa: 0.6463, kb_relative_information_score: 10940.5959, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8397, predictive_accuracy: 0.8414, prior_entropy: 0.9355, recall: 0.8414, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.7281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8422, kappa: 0.6514, kb_relative_information_score: 11104.9449, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8419, predictive_accuracy: 0.8435, prior_entropy: 0.9355, recall: 0.8435, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8415, kappa: 0.6498, kb_relative_information_score: 11067.38, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8412, predictive_accuracy: 0.8428, prior_entropy: 0.9355, recall: 0.8428, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8391, kappa: 0.6444, kb_relative_information_score: 10938.3319, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8388, predictive_accuracy: 0.8405, prior_entropy: 0.9355, recall: 0.8405, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7275,

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