Task
Supervised Classification on adult

Supervised Classification on adult

Task 7592 Supervised Classification adult 10636 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_99
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10636 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.8215, kappa: 0.5116, kb_relative_information_score: 21218.2513, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8222, predictive_accuracy: 0.8207, prior_entropy: 0.7939, recall: 0.8207, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.8968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8408, kappa: 0.5577, kb_relative_information_score: 21868.0224, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8394, predictive_accuracy: 0.8427, prior_entropy: 0.7939, recall: 0.8427, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8403, kappa: 0.5562, kb_relative_information_score: 21780.9771, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8389, predictive_accuracy: 0.8424, prior_entropy: 0.7939, recall: 0.8424, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8469, kappa: 0.571, kb_relative_information_score: 21885.7949, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8452, predictive_accuracy: 0.8503, prior_entropy: 0.7939, recall: 0.8503, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8464, kappa: 0.5691, kb_relative_information_score: 21784.9394, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8448, predictive_accuracy: 0.85, prior_entropy: 0.7939, recall: 0.85, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8442, kappa: 0.5643, kb_relative_information_score: 21817.8018, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8425, predictive_accuracy: 0.8473, prior_entropy: 0.7939, recall: 0.8473, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8451, kappa: 0.5672, kb_relative_information_score: 21805.6649, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8435, predictive_accuracy: 0.848, prior_entropy: 0.7939, recall: 0.848, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.7651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8247, kappa: 0.5235, kb_relative_information_score: 21388.882, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8268, predictive_accuracy: 0.823, prior_entropy: 0.7939, recall: 0.823, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8461, kappa: 0.5683, kb_relative_information_score: 21770.6623, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8445, predictive_accuracy: 0.8498, prior_entropy: 0.7939, recall: 0.8498, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8449, kappa: 0.5666, kb_relative_information_score: 21797.5685, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8432, predictive_accuracy: 0.8478, prior_entropy: 0.7939, recall: 0.8478, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.7651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8458, kappa: 0.5681, kb_relative_information_score: 21886.1613, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8441, predictive_accuracy: 0.8491, prior_entropy: 0.7939, recall: 0.8491, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.7601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8343, kappa: 0.5409, kb_relative_information_score: 21477.2542, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8331, predictive_accuracy: 0.8357, prior_entropy: 0.7939, recall: 0.8357, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8466, kappa: 0.5703, kb_relative_information_score: 21869.9135, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.85, prior_entropy: 0.7939, recall: 0.85, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8469, kappa: 0.5712, kb_relative_information_score: 21893.8804, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8453, predictive_accuracy: 0.8504, prior_entropy: 0.7939, recall: 0.8504, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.8249, kappa: 0.5233, kb_relative_information_score: 21390.6951, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8267, predictive_accuracy: 0.8233, prior_entropy: 0.7939, recall: 0.8233, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8289, kappa: 0.5296, kb_relative_information_score: 21513.8001, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8288, predictive_accuracy: 0.8291, prior_entropy: 0.7939, recall: 0.8291, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.8464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8424, kappa: 0.5599, kb_relative_information_score: 21723.6473, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8407, predictive_accuracy: 0.8452, prior_entropy: 0.7939, recall: 0.8452, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.7719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8474, kappa: 0.5712, kb_relative_information_score: 21731.1755, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8459, predictive_accuracy: 0.8514, prior_entropy: 0.7939, recall: 0.8514, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.7591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.8281, kappa: 0.5292, kb_relative_information_score: 21666.3038, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8286, predictive_accuracy: 0.8276, prior_entropy: 0.7939, recall: 0.8276, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.841, kappa: 0.5574, kb_relative_information_score: 21762.271, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8395, predictive_accuracy: 0.8432, prior_entropy: 0.7939, recall: 0.8432, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.841, kappa: 0.5586, kb_relative_information_score: 21813.7273, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8397, predictive_accuracy: 0.8428, prior_entropy: 0.7939, recall: 0.8428, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8441, kappa: 0.5648, kb_relative_information_score: 21779.6865, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8425, predictive_accuracy: 0.8469, prior_entropy: 0.7939, recall: 0.8469, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8408, kappa: 0.5568, kb_relative_information_score: 21749.6795, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8392, predictive_accuracy: 0.843, prior_entropy: 0.7939, recall: 0.843, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8421, kappa: 0.5594, kb_relative_information_score: 21699.4175, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8405, predictive_accuracy: 0.8449, prior_entropy: 0.7939, recall: 0.8449, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.82, kappa: 0.5099, kb_relative_information_score: 21231.6867, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8218, predictive_accuracy: 0.8186, prior_entropy: 0.7939, recall: 0.8186, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8344, kappa: 0.5411, kb_relative_information_score: 21466.4383, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8332, predictive_accuracy: 0.8358, prior_entropy: 0.7939, recall: 0.8358, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8405, kappa: 0.556, kb_relative_information_score: 21713.8176, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8389, predictive_accuracy: 0.8427, prior_entropy: 0.7939, recall: 0.8427, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.7785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.846, kappa: 0.5678, kb_relative_information_score: 21826.1373, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8443, predictive_accuracy: 0.8497, prior_entropy: 0.7939, recall: 0.8497, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8451, kappa: 0.5672, kb_relative_information_score: 21802.3997, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8434, predictive_accuracy: 0.8479, prior_entropy: 0.7939, recall: 0.8479, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8263, kappa: 0.5237, kb_relative_information_score: 21298.763, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8266, predictive_accuracy: 0.8261, prior_entropy: 0.7939, recall: 0.8261, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8403, kappa: 0.5556, kb_relative_information_score: 21728.8283, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8388, predictive_accuracy: 0.8426, prior_entropy: 0.7939, recall: 0.8426, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8358, kappa: 0.5455, kb_relative_information_score: 21682.5511, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8347, predictive_accuracy: 0.8371, prior_entropy: 0.7939, recall: 0.8371, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8402, kappa: 0.556, kb_relative_information_score: 21776.7138, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8388, predictive_accuracy: 0.8422, prior_entropy: 0.7939, recall: 0.8422, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8443, kappa: 0.5647, kb_relative_information_score: 21799.4922, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8427, predictive_accuracy: 0.8474, prior_entropy: 0.7939, recall: 0.8474, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8453, kappa: 0.5667, kb_relative_information_score: 21797.069, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8436, predictive_accuracy: 0.8487, prior_entropy: 0.7939, recall: 0.8487, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8359, kappa: 0.5459, kb_relative_information_score: 21675.9594, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8349, predictive_accuracy: 0.8372, prior_entropy: 0.7939, recall: 0.8372, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.7987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8362, kappa: 0.5458, kb_relative_information_score: 21542.5507, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8349, predictive_accuracy: 0.8378, prior_entropy: 0.7939, recall: 0.8378, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.8267, kappa: 0.5236, kb_relative_information_score: 21252.7274, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8266, predictive_accuracy: 0.8268, prior_entropy: 0.7939, recall: 0.8268, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.36, root_relative_squared_error: 0.8437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8403, kappa: 0.5561, kb_relative_information_score: 21776.8489, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8389, predictive_accuracy: 0.8424, prior_entropy: 0.7939, recall: 0.8424, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8305, kappa: 0.5332, kb_relative_information_score: 21574.3757, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8301, predictive_accuracy: 0.8309, prior_entropy: 0.7939, recall: 0.8309, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8301, kappa: 0.5322, kb_relative_information_score: 21521.0151, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8297, predictive_accuracy: 0.8306, prior_entropy: 0.7939, recall: 0.8306, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8254, kappa: 0.5215, kb_relative_information_score: 21525.646, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8258, predictive_accuracy: 0.8249, prior_entropy: 0.7939, recall: 0.8249, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8422, kappa: 0.5607, kb_relative_information_score: 21714.5425, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8407, predictive_accuracy: 0.8446, prior_entropy: 0.7939, recall: 0.8446, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8471, kappa: 0.5704, kb_relative_information_score: 21700.2154, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8456, predictive_accuracy: 0.8511, prior_entropy: 0.7939, recall: 0.8511, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.7597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8441, kappa: 0.5646, kb_relative_information_score: 21828.1975, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8425, predictive_accuracy: 0.847, prior_entropy: 0.7939, recall: 0.847, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8476, kappa: 0.572, kb_relative_information_score: 21837.0679, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.846, predictive_accuracy: 0.8514, prior_entropy: 0.7939, recall: 0.8514, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.8269, kappa: 0.5241, kb_relative_information_score: 21274.3439, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8267, predictive_accuracy: 0.8271, prior_entropy: 0.7939, recall: 0.8271, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.8442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.8204, kappa: 0.5086, kb_relative_information_score: 21145.1361, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8212, predictive_accuracy: 0.8197, prior_entropy: 0.7939, recall: 0.8197, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8351, kappa: 0.5447, kb_relative_information_score: 21531.1834, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8343, predictive_accuracy: 0.8359, prior_entropy: 0.7939, recall: 0.8359, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.8246, kappa: 0.5194, kb_relative_information_score: 21310.8394, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.825, predictive_accuracy: 0.8242, prior_entropy: 0.7939, recall: 0.8242, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.8726,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8474, kappa: 0.5711, kb_relative_information_score: 21722.314, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8458, predictive_accuracy: 0.8514, prior_entropy: 0.7939, recall: 0.8514, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.324, root_relative_squared_error: 0.7593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8402, kappa: 0.5554, kb_relative_information_score: 21732.8301, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8387, predictive_accuracy: 0.8425, prior_entropy: 0.7939, recall: 0.8425, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.332, root_relative_squared_error: 0.7783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8189, kappa: 0.5095, kb_relative_information_score: 21231.2962, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8219, predictive_accuracy: 0.8165, prior_entropy: 0.7939, recall: 0.8165, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.383, root_relative_squared_error: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.841, kappa: 0.556, kb_relative_information_score: 21750.7433, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8393, predictive_accuracy: 0.8438, prior_entropy: 0.7939, recall: 0.8438, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8334, kappa: 0.5389, kb_relative_information_score: 21555.3292, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8323, predictive_accuracy: 0.8347, prior_entropy: 0.7939, recall: 0.8347, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8406, kappa: 0.5569, kb_relative_information_score: 21811.1636, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8391, predictive_accuracy: 0.8426, prior_entropy: 0.7939, recall: 0.8426, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8143, kappa: 0.5013, kb_relative_information_score: 21080.7853, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8196, predictive_accuracy: 0.8105, prior_entropy: 0.7939, recall: 0.8105, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.846, kappa: 0.5685, kb_relative_information_score: 21857.7408, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8443, predictive_accuracy: 0.8494, prior_entropy: 0.7939, recall: 0.8494, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8478, kappa: 0.5727, kb_relative_information_score: 21848.8658, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8463, predictive_accuracy: 0.8517, prior_entropy: 0.7939, recall: 0.8517, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8472, kappa: 0.5705, kb_relative_information_score: 21712.7882, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8456, predictive_accuracy: 0.8512, prior_entropy: 0.7939, recall: 0.8512, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.324, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8298, kappa: 0.5314, kb_relative_information_score: 21518.9917, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8294, predictive_accuracy: 0.8303, prior_entropy: 0.7939, recall: 0.8303, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8442, kappa: 0.5644, kb_relative_information_score: 21823.0676, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8426, predictive_accuracy: 0.8474, prior_entropy: 0.7939, recall: 0.8474, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.8288, kappa: 0.5286, kb_relative_information_score: 21506.8062, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8284, predictive_accuracy: 0.8292, prior_entropy: 0.7939, recall: 0.8292, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8356, kappa: 0.5463, kb_relative_information_score: 21567.6097, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8349, predictive_accuracy: 0.8364, prior_entropy: 0.7939, recall: 0.8364, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8458, kappa: 0.5683, kb_relative_information_score: 21874.9774, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8442, predictive_accuracy: 0.8491, prior_entropy: 0.7939, recall: 0.8491, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.7602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8423, kappa: 0.5598, kb_relative_information_score: 21706.6761, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8406, predictive_accuracy: 0.8451, prior_entropy: 0.7939, recall: 0.8451, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8471, kappa: 0.5704, kb_relative_information_score: 21712.0467, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8456, predictive_accuracy: 0.8511, prior_entropy: 0.7939, recall: 0.8511, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.8256, kappa: 0.5208, kb_relative_information_score: 21318.8256, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8256, predictive_accuracy: 0.8256, prior_entropy: 0.7939, recall: 0.8256, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8402, kappa: 0.5559, kb_relative_information_score: 21783.2934, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8388, predictive_accuracy: 0.8423, prior_entropy: 0.7939, recall: 0.8423, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8271, kappa: 0.525, kb_relative_information_score: 21250.9739, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8271, predictive_accuracy: 0.8272, prior_entropy: 0.7939, recall: 0.8272, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8403, kappa: 0.556, kb_relative_information_score: 21800.8567, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8388, predictive_accuracy: 0.8423, prior_entropy: 0.7939, recall: 0.8423, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8478, kappa: 0.5727, kb_relative_information_score: 21840.9333, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8463, predictive_accuracy: 0.8517, prior_entropy: 0.7939, recall: 0.8517, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.7564,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8279, kappa: 0.5276, kb_relative_information_score: 21340.9985, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.828, predictive_accuracy: 0.8278, prior_entropy: 0.7939, recall: 0.8278, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.8254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.8314, kappa: 0.537, kb_relative_information_score: 21385.487, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8314, predictive_accuracy: 0.8314, prior_entropy: 0.7939, recall: 0.8314, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.847, kappa: 0.5701, kb_relative_information_score: 21701.0574, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8455, predictive_accuracy: 0.851, prior_entropy: 0.7939, recall: 0.851, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.7597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8425, kappa: 0.5605, kb_relative_information_score: 21695.3563, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8409, predictive_accuracy: 0.8453, prior_entropy: 0.7939, recall: 0.8453, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.7722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.8278, kappa: 0.5272, kb_relative_information_score: 21339.5149, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8279, predictive_accuracy: 0.8277, prior_entropy: 0.7939, recall: 0.8277, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8353, kappa: 0.5453, kb_relative_information_score: 21568.6935, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8345, predictive_accuracy: 0.8362, prior_entropy: 0.7939, recall: 0.8362, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8257, kappa: 0.5258, kb_relative_information_score: 21449.7132, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8276, predictive_accuracy: 0.8241, prior_entropy: 0.7939, recall: 0.8241, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8402, kappa: 0.5553, kb_relative_information_score: 21720.6336, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8387, predictive_accuracy: 0.8425, prior_entropy: 0.7939, recall: 0.8425, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8454, kappa: 0.5669, kb_relative_information_score: 21800.8477, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8437, predictive_accuracy: 0.8487, prior_entropy: 0.7939, recall: 0.8487, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8408, kappa: 0.557, kb_relative_information_score: 21752.0406, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8393, predictive_accuracy: 0.843, prior_entropy: 0.7939, recall: 0.843, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8482, kappa: 0.5736, kb_relative_information_score: 21808.9673, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8467, predictive_accuracy: 0.8522, prior_entropy: 0.7939, recall: 0.8522, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8482, kappa: 0.5736, kb_relative_information_score: 21806.8703, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8467, predictive_accuracy: 0.8522, prior_entropy: 0.7939, recall: 0.8522, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.7563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8352, kappa: 0.5451, kb_relative_information_score: 21535.8936, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8345, predictive_accuracy: 0.836, prior_entropy: 0.7939, recall: 0.836, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.844, kappa: 0.5636, kb_relative_information_score: 21820.7363, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8423, predictive_accuracy: 0.8471, prior_entropy: 0.7939, recall: 0.8471, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8421, kappa: 0.5593, kb_relative_information_score: 21714.1894, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8405, predictive_accuracy: 0.8449, prior_entropy: 0.7939, recall: 0.8449, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.8314, kappa: 0.5361, kb_relative_information_score: 21400.0373, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8311, predictive_accuracy: 0.8316, prior_entropy: 0.7939, recall: 0.8316, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8274, kappa: 0.525, kb_relative_information_score: 21487.7682, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8271, predictive_accuracy: 0.8277, prior_entropy: 0.7939, recall: 0.8277, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8302, kappa: 0.5313, kb_relative_information_score: 21429.7899, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8294, predictive_accuracy: 0.8311, prior_entropy: 0.7939, recall: 0.8311, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.356, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8468, kappa: 0.5708, kb_relative_information_score: 21877.6974, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8452, predictive_accuracy: 0.8502, prior_entropy: 0.7939, recall: 0.8502, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8453, kappa: 0.5668, kb_relative_information_score: 21801.6527, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8437, predictive_accuracy: 0.8487, prior_entropy: 0.7939, recall: 0.8487, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8377, kappa: 0.55, kb_relative_information_score: 21661.8627, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8365, predictive_accuracy: 0.8394, prior_entropy: 0.7939, recall: 0.8394, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8461, kappa: 0.5681, kb_relative_information_score: 21771.9059, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8444, predictive_accuracy: 0.8498, prior_entropy: 0.7939, recall: 0.8498, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.7628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8459, kappa: 0.5684, kb_relative_information_score: 21849.2461, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8443, predictive_accuracy: 0.8494, prior_entropy: 0.7939, recall: 0.8494, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8472, kappa: 0.5706, kb_relative_information_score: 21711.4132, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8457, predictive_accuracy: 0.8512, prior_entropy: 0.7939, recall: 0.8512, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8362, kappa: 0.546, kb_relative_information_score: 21538.5603, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.835, predictive_accuracy: 0.8379, prior_entropy: 0.7939, recall: 0.8379, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.8211, kappa: 0.5109, kb_relative_information_score: 21152.6443, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.822, predictive_accuracy: 0.8202, prior_entropy: 0.7939, recall: 0.8202, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.905,

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