Task
Supervised Classification on boston

Supervised Classification on boston

Task 3718 Supervised Classification boston 527 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8802, kappa: 0.7516, kb_relative_information_score: 321.3971, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8826, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6213, scimark_benchmark: 1314.7093, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8389, kappa: 0.6663, kb_relative_information_score: 303.7029, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8394, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6971, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8802, kappa: 0.7516, kb_relative_information_score: 321.3971, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8826, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6213, scimark_benchmark: 1342.9012, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.887, kappa: 0.7662, kb_relative_information_score: 331.7301, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8871, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5903, scimark_benchmark: 1342.6744, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8655, kappa: 0.7224, kb_relative_information_score: 330.9793, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8654, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6899, scimark_benchmark: 1357.8069, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8611, kappa: 0.7127, kb_relative_information_score: 347.2854, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6529, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8611, kappa: 0.7127, kb_relative_information_score: 347.2854, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6529, scimark_benchmark: 1342.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8968, kappa: 0.7865, kb_relative_information_score: 331.7016, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8971, predictive_accuracy: 0.8972, prior_entropy: 0.9782, recall: 0.8972, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.5919, scimark_benchmark: 1341.5795, usercpu_time_millis: 1000, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8611, kappa: 0.7127, kb_relative_information_score: 347.2854, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6529, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8611, kappa: 0.7127, kb_relative_information_score: 347.2854, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6529, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.887, kappa: 0.7662, kb_relative_information_score: 331.7301, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8871, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5903, scimark_benchmark: 1278.6629, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8551, kappa: 0.7001, kb_relative_information_score: 275.86, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8553, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6659, scimark_benchmark: 1350.7721, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8389, kappa: 0.6663, kb_relative_information_score: 303.7029, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8394, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6971, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8968, kappa: 0.7865, kb_relative_information_score: 331.7016, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8971, predictive_accuracy: 0.8972, prior_entropy: 0.9782, recall: 0.8972, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.5919, scimark_benchmark: 1322.3407, usercpu_time_millis: 1920, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8611, kappa: 0.7127, kb_relative_information_score: 347.2854, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6529, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8611, kappa: 0.7127, kb_relative_information_score: 347.2854, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6529, scimark_benchmark: 1325.4787,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8611, kappa: 0.7127, kb_relative_information_score: 347.2854, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6529, scimark_benchmark: 1347.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.887, kappa: 0.7662, kb_relative_information_score: 331.7301, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8871, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5903, scimark_benchmark: 1336.0954, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8611, kappa: 0.7127, kb_relative_information_score: 347.2854, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6529, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8611, kappa: 0.7127, kb_relative_information_score: 347.2854, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6529, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8017, kappa: 0.5966, kb_relative_information_score: 292.5553, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8083, predictive_accuracy: 0.8004, prior_entropy: 0.9782, recall: 0.8004, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8563, scimark_benchmark: 1325.8468,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8389, kappa: 0.6663, kb_relative_information_score: 303.7029, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8394, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6971, scimark_benchmark: 1322.5413,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8711, kappa: 0.7334, kb_relative_information_score: 370.0988, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8712, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7482, kappa: 0.5036, kb_relative_information_score: 239.643, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.78, predictive_accuracy: 0.747, prior_entropy: 0.9782, recall: 0.747, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8595, kappa: 0.71, kb_relative_information_score: 331.1165, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7459, kappa: 0.5014, kb_relative_information_score: 236.6171, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7819, predictive_accuracy: 0.7451, prior_entropy: 0.9782, recall: 0.7451, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8718, kappa: 0.736, kb_relative_information_score: 327.285, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8721, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6383, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8671, kappa: 0.7252, kb_relative_information_score: 365.92, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8672, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8711, kappa: 0.7334, kb_relative_information_score: 370.0988, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8712, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.876, kappa: 0.7426, kb_relative_information_score: 376.367, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8794, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8811, kappa: 0.7541, kb_relative_information_score: 327.8635, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8811, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.887, kappa: 0.7662, kb_relative_information_score: 331.7301, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8871, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5903, scimark_benchmark: 974.2014, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.5438, kappa: 0.1327, kb_relative_information_score: 115.1905, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.6885, predictive_accuracy: 0.6304, prior_entropy: 0.9782, recall: 0.6304, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2347, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8655, kappa: 0.7224, kb_relative_information_score: 330.9793, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8654, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6899, scimark_benchmark: 931.771, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8611, kappa: 0.7127, kb_relative_information_score: 347.2854, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6529, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7878, kappa: 0.5666, kb_relative_information_score: 280.2541, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.792, predictive_accuracy: 0.7866, prior_entropy: 0.9782, recall: 0.7866, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9383, usercpu_time_millis: 26.043, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 25.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8617, kappa: 0.7147, kb_relative_information_score: 359.6517, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8617, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7554, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8869, kappa: 0.7659, kb_relative_information_score: 386.8141, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8872, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6817, usercpu_time_millis: 27.765, usercpu_time_millis_testing: 4.692, usercpu_time_millis_training: 23.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.8511, kappa: 0.6919, kb_relative_information_score: 349.2047, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8513, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7819, usercpu_time_millis: 6.076, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 5.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.897, kappa: 0.7872, kb_relative_information_score: 397.2612, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.897, predictive_accuracy: 0.8972, prior_entropy: 0.9782, recall: 0.8972, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6511, usercpu_time_millis: 4.775, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 4.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.881, kappa: 0.7537, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 14.342, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 14.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8772, kappa: 0.7462, kb_relative_information_score: 376.367, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7109, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8869, kappa: 0.7659, kb_relative_information_score: 386.8141, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8872, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6817, usercpu_time_millis: 3.799, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 3.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8824, kappa: 0.7562, kb_relative_information_score: 382.6353, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8841, predictive_accuracy: 0.8834, prior_entropy: 0.9782, recall: 0.8834, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6935, usercpu_time_millis: 6.737, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 5.955,

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