OpenML
Supervised Classification on house_16H

Supervised Classification on house_16H

Task 4391 Supervised Classification house_16H 214 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.8458, kappa: 0.6245, kb_relative_information_score: 112140.0893, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8452, predictive_accuracy: 0.8485, prior_entropy: 0.8764, recall: 0.8485, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7634, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8467, kappa: 0.629, kb_relative_information_score: 78126.8085, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8459, predictive_accuracy: 0.8481, prior_entropy: 0.8764, recall: 0.8481, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7511, scimark_benchmark: 972.587, usercpu_time_millis: 11460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8461, kappa: 0.6273, kb_relative_information_score: 111634.2635, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8453, predictive_accuracy: 0.8477, prior_entropy: 0.8764, recall: 0.8477, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7183, scimark_benchmark: 934.3687, usercpu_time_millis: 9190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.7259, kappa: 0.3239, kb_relative_information_score: 72910.4289, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7223, predictive_accuracy: 0.7366, prior_entropy: 0.8764, recall: 0.7366, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.1242, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.7259, kappa: 0.3239, kb_relative_information_score: 72910.4289, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7223, predictive_accuracy: 0.7366, prior_entropy: 0.8764, recall: 0.7366, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.1242, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8385, kappa: 0.6236, kb_relative_information_score: 126707.0341, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.847, predictive_accuracy: 0.8349, prior_entropy: 0.8764, recall: 0.8349, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8063, scimark_benchmark: 941.6675, usercpu_time_millis: 510, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 941.6675, usercpu_time_millis: 530, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8833, kappa: 0.7179, kb_relative_information_score: 135576.1471, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8829, predictive_accuracy: 0.8844, prior_entropy: 0.8764, recall: 0.8844, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.6326, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8607, kappa: 0.6642, kb_relative_information_score: 134014.8769, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8602, predictive_accuracy: 0.8614, prior_entropy: 0.8764, recall: 0.8614, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.7187, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.7259, kappa: 0.3239, kb_relative_information_score: 72910.4289, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7223, predictive_accuracy: 0.7366, prior_entropy: 0.8764, recall: 0.7366, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.1242, scimark_benchmark: 932.438, usercpu_time_millis: 337890, usercpu_time_millis_testing: 50070, usercpu_time_millis_training: 287820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.7259, kappa: 0.3239, kb_relative_information_score: 72910.4289, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7223, predictive_accuracy: 0.7366, prior_entropy: 0.8764, recall: 0.7366, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.1242, scimark_benchmark: 936.3373, usercpu_time_millis: 279080, usercpu_time_millis_testing: 52710, usercpu_time_millis_training: 226370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8921, kappa: 0.7386, kb_relative_information_score: 137022.7714, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8919, predictive_accuracy: 0.8933, prior_entropy: 0.8764, recall: 0.8933, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.6103, scimark_benchmark: 947.1781, usercpu_time_millis: 20030, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 18600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.8458, kappa: 0.6245, kb_relative_information_score: 112140.0893, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8452, predictive_accuracy: 0.8485, prior_entropy: 0.8764, recall: 0.8485, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7634, scimark_benchmark: 942.2392, usercpu_time_millis: 610, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8467, kappa: 0.629, kb_relative_information_score: 78126.8085, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8459, predictive_accuracy: 0.8481, prior_entropy: 0.8764, recall: 0.8481, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7511, scimark_benchmark: 908.9569, usercpu_time_millis: 7370, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8461, kappa: 0.6273, kb_relative_information_score: 111634.2635, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8453, predictive_accuracy: 0.8477, prior_entropy: 0.8764, recall: 0.8477, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7183, scimark_benchmark: 940.1541, usercpu_time_millis: 8890, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.7259, kappa: 0.3239, kb_relative_information_score: 72910.4289, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7223, predictive_accuracy: 0.7366, prior_entropy: 0.8764, recall: 0.7366, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.1242, scimark_benchmark: 859.5223, usercpu_time_millis: 282520, usercpu_time_millis_testing: 39160, usercpu_time_millis_training: 243360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8385, kappa: 0.6236, kb_relative_information_score: 126707.0341, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.847, predictive_accuracy: 0.8349, prior_entropy: 0.8764, recall: 0.8349, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8063, scimark_benchmark: 930.404, usercpu_time_millis: 520, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 903.2737, usercpu_time_millis: 550, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 933.3455, usercpu_time_millis: 530, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8833, kappa: 0.7179, kb_relative_information_score: 135576.1471, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8829, predictive_accuracy: 0.8844, prior_entropy: 0.8764, recall: 0.8844, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.6326, scimark_benchmark: 930.404, usercpu_time_millis: 4390, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 945.6228, usercpu_time_millis: 540, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8607, kappa: 0.6642, kb_relative_information_score: 134014.8769, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8602, predictive_accuracy: 0.8614, prior_entropy: 0.8764, recall: 0.8614, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.7187, scimark_benchmark: 936.3213, usercpu_time_millis: 30950, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 30840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8921, kappa: 0.7386, kb_relative_information_score: 137022.7714, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8919, predictive_accuracy: 0.8933, prior_entropy: 0.8764, recall: 0.8933, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.6103, scimark_benchmark: 730.6551, usercpu_time_millis: 35580, usercpu_time_millis_testing: 2410, usercpu_time_millis_training: 33170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8903, kappa: 0.7335, kb_relative_information_score: 129939.2804, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8904, predictive_accuracy: 0.8919, prior_entropy: 0.8764, recall: 0.8919, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.6207, scimark_benchmark: 851.2074, usercpu_time_millis: 857060, usercpu_time_millis_testing: 126980, usercpu_time_millis_training: 730080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8902, kappa: 0.7332, kb_relative_information_score: 129816.2783, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8902, predictive_accuracy: 0.8918, prior_entropy: 0.8764, recall: 0.8918, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6221, scimark_benchmark: 936.3373, usercpu_time_millis: 260610, usercpu_time_millis_testing: 33200, usercpu_time_millis_training: 227410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.886, kappa: 0.723, kb_relative_information_score: 129192.4567, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8859, predictive_accuracy: 0.8876, prior_entropy: 0.8764, recall: 0.8876, relative_absolute_error: 0.4511, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6298, scimark_benchmark: 901.5805, usercpu_time_millis: 52240, usercpu_time_millis_testing: 4140, usercpu_time_millis_training: 48100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8821, kappa: 0.7136, kb_relative_information_score: 128654.8447, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8819, predictive_accuracy: 0.8837, prior_entropy: 0.8764, recall: 0.8837, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.292, root_relative_squared_error: 0.6397, scimark_benchmark: 911.2316, usercpu_time_millis: 44040, usercpu_time_millis_testing: 2330, usercpu_time_millis_training: 41710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8549, kappa: 0.6491, kb_relative_information_score: 121137.9128, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8542, predictive_accuracy: 0.8562, prior_entropy: 0.8764, recall: 0.8562, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.7018, scimark_benchmark: 936.1714, usercpu_time_millis: 2360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8549, kappa: 0.6491, kb_relative_information_score: 121137.9128, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8542, predictive_accuracy: 0.8562, prior_entropy: 0.8764, recall: 0.8562, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.7018, scimark_benchmark: 930.0565, usercpu_time_millis: 2720, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8549, kappa: 0.6491, kb_relative_information_score: 121137.9128, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8542, predictive_accuracy: 0.8562, prior_entropy: 0.8764, recall: 0.8562, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.7018, scimark_benchmark: 894.7131, usercpu_time_millis: 2810, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8549, kappa: 0.6491, kb_relative_information_score: 121137.9128, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8542, predictive_accuracy: 0.8562, prior_entropy: 0.8764, recall: 0.8562, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.7018, scimark_benchmark: 936.1714, usercpu_time_millis: 2220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8479, kappa: 0.6315, kb_relative_information_score: 113836.9694, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8471, predictive_accuracy: 0.8496, prior_entropy: 0.8764, recall: 0.8496, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7195, scimark_benchmark: 929.0296, usercpu_time_millis: 1600, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8537, kappa: 0.6464, kb_relative_information_score: 124413.088, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.853, predictive_accuracy: 0.8548, prior_entropy: 0.8764, recall: 0.8548, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.7144, scimark_benchmark: 941.9549, usercpu_time_millis: 730, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 660,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8521, kappa: 0.6389, kb_relative_information_score: 140082.5027, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8521, predictive_accuracy: 0.8552, prior_entropy: 0.8764, recall: 0.8552, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7591, scimark_benchmark: 929.0296, usercpu_time_millis: 20120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20030,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8385, kappa: 0.6236, kb_relative_information_score: 126707.0341, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.847, predictive_accuracy: 0.8349, prior_entropy: 0.8764, recall: 0.8349, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8063, scimark_benchmark: 1331.2559, usercpu_time_millis: 550, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 1340.5125, usercpu_time_millis: 500, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 1286.2211, usercpu_time_millis: 500, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 1393.8432, usercpu_time_millis: 330, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 1331.7953, usercpu_time_millis: 450, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 1333.202, usercpu_time_millis: 380, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8467, kappa: 0.629, kb_relative_information_score: 78126.8085, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8459, predictive_accuracy: 0.8481, prior_entropy: 0.8764, recall: 0.8481, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7511, scimark_benchmark: 1286.2211, usercpu_time_millis: 4840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8385, kappa: 0.6236, kb_relative_information_score: 126707.0341, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.847, predictive_accuracy: 0.8349, prior_entropy: 0.8764, recall: 0.8349, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8063, scimark_benchmark: 1324.6442, usercpu_time_millis: 440, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 1324.6442, usercpu_time_millis: 360, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 1366.7181, usercpu_time_millis: 420, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8607, kappa: 0.6642, kb_relative_information_score: 134014.8769, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8602, predictive_accuracy: 0.8614, prior_entropy: 0.8764, recall: 0.8614, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.7187, scimark_benchmark: 1336.0954, usercpu_time_millis: 29500, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 29270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8209, kappa: 0.5596, kb_relative_information_score: 91014.1608, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8217, predictive_accuracy: 0.8269, prior_entropy: 0.8764, recall: 0.8269, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7711, scimark_benchmark: 1342.6744, usercpu_time_millis: 600640, usercpu_time_millis_testing: 28930, usercpu_time_millis_training: 571710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8385, kappa: 0.6236, kb_relative_information_score: 126707.0341, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.847, predictive_accuracy: 0.8349, prior_entropy: 0.8764, recall: 0.8349, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8063, scimark_benchmark: 1337.9552, usercpu_time_millis: 480, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 1337.9552, usercpu_time_millis: 560, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8607, kappa: 0.6642, kb_relative_information_score: 134014.8769, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8602, predictive_accuracy: 0.8614, prior_entropy: 0.8764, recall: 0.8614, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.7187, scimark_benchmark: 1338.1299, usercpu_time_millis: 32400, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 32180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 1316.6799, usercpu_time_millis: 380, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8461, kappa: 0.6273, kb_relative_information_score: 111634.2635, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8453, predictive_accuracy: 0.8477, prior_entropy: 0.8764, recall: 0.8477, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7183, scimark_benchmark: 1342.8584, usercpu_time_millis: 11190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8385, kappa: 0.6236, kb_relative_information_score: 126707.0341, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.847, predictive_accuracy: 0.8349, prior_entropy: 0.8764, recall: 0.8349, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8063, scimark_benchmark: 1327.3335, usercpu_time_millis: 410, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 1325.4787, usercpu_time_millis: 370, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 260,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8656, kappa: 0.681, kb_relative_information_score: 140181.7892, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8678, predictive_accuracy: 0.8643, prior_entropy: 0.8764, recall: 0.8643, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7111, scimark_benchmark: 1313.11, usercpu_time_millis: 390, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8833, kappa: 0.7179, kb_relative_information_score: 135576.1471, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8829, predictive_accuracy: 0.8844, prior_entropy: 0.8764, recall: 0.8844, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.6326, scimark_benchmark: 1350.7721, usercpu_time_millis: 3750, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8607, kappa: 0.6642, kb_relative_information_score: 134014.8769, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8602, predictive_accuracy: 0.8614, prior_entropy: 0.8764, recall: 0.8614, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.7187, scimark_benchmark: 1342.2845, usercpu_time_millis: 33870, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 33640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8921, kappa: 0.7386, kb_relative_information_score: 137022.7714, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8919, predictive_accuracy: 0.8933, prior_entropy: 0.8764, recall: 0.8933, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.6103, scimark_benchmark: 1320.8283, usercpu_time_millis: 20480, usercpu_time_millis_testing: 3020, usercpu_time_millis_training: 17460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.7259, kappa: 0.3239, kb_relative_information_score: 72910.4289, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7223, predictive_accuracy: 0.7366, prior_entropy: 0.8764, recall: 0.7366, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.1242, scimark_benchmark: 1313.5633, usercpu_time_millis: 561040, usercpu_time_millis_testing: 128180, usercpu_time_millis_training: 432860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.7259, kappa: 0.3239, kb_relative_information_score: 72910.4289, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7223, predictive_accuracy: 0.7366, prior_entropy: 0.8764, recall: 0.7366, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.1242, scimark_benchmark: 1343.3311, usercpu_time_millis: 525390, usercpu_time_millis_testing: 124360, usercpu_time_millis_training: 401030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8467, kappa: 0.629, kb_relative_information_score: 78126.8085, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8459, predictive_accuracy: 0.8481, prior_entropy: 0.8764, recall: 0.8481, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7511, scimark_benchmark: 1364.991, usercpu_time_millis: 4150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8805, kappa: 0.7104, kb_relative_information_score: 138420.7783, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8801, predictive_accuracy: 0.8817, prior_entropy: 0.8764, recall: 0.8817, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6455, scimark_benchmark: 1322.0065, usercpu_time_millis: 119930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 119900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8461, kappa: 0.6273, kb_relative_information_score: 111634.2635, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8453, predictive_accuracy: 0.8477, prior_entropy: 0.8764, recall: 0.8477, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7183, scimark_benchmark: 1364.991, usercpu_time_millis: 7960, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7940,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs