Task
Supervised Classification on baskball

Supervised Classification on baskball

Task 3597 Supervised Classification baskball 501 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.7386, kappa: 0.4805, kb_relative_information_score: 27.578, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7456, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.8948, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.7187, kappa: 0.438, kb_relative_information_score: 27.1188, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.72, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9619, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.6146, kappa: 0.2292, kb_relative_information_score: 27.3784, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6148, predictive_accuracy: 0.6146, prior_entropy: 0.9997, recall: 0.6146, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0367, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 30.7156, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9116, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.6146, kappa: 0.2292, kb_relative_information_score: 21.5933, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6148, predictive_accuracy: 0.6146, prior_entropy: 0.9997, recall: 0.6146, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.614, root_relative_squared_error: 1.2282, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6247, kappa: 0.251, kb_relative_information_score: 23.5615, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6265, predictive_accuracy: 0.625, prior_entropy: 0.9997, recall: 0.625, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6055, root_relative_squared_error: 1.2113, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 27.6557, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8911, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7187, kappa: 0.437, kb_relative_information_score: 27.2111, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7187, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9104, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4681, f_measure: 0.345, kb_relative_information_score: -0.059, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.2605, predictive_accuracy: 0.5104, prior_entropy: 0.9997, recall: 0.5104, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 26.1766, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9074, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.75, kappa: 0.4998, kb_relative_information_score: 29.4593, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8743, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 34.4365, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9667, scimark_benchmark: 851.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 27.9479, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9172, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6974, kappa: 0.3948, kb_relative_information_score: 26.8992, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6983, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.892, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 29.0676, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8792, scimark_benchmark: 927.2917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.6119, kappa: 0.2265, kb_relative_information_score: 21.9543, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6159, predictive_accuracy: 0.6146, prior_entropy: 0.9997, recall: 0.6146, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6208, root_relative_squared_error: 1.2419, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.6726, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9057, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 29.0676, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8792, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 30.7156, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9116, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 26.1766, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9074, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.75, kappa: 0.4998, kb_relative_information_score: 29.4593, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8743, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 34.4365, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9667, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.6119, kappa: 0.2265, kb_relative_information_score: 21.9543, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6159, predictive_accuracy: 0.6146, prior_entropy: 0.9997, recall: 0.6146, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6208, root_relative_squared_error: 1.2419, scimark_benchmark: 730.6551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.6119, kappa: 0.2265, kb_relative_information_score: 21.9543, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6159, predictive_accuracy: 0.6146, prior_entropy: 0.9997, recall: 0.6146, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6208, root_relative_squared_error: 1.2419, scimark_benchmark: 919.3788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 27.9479, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9172, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6974, kappa: 0.3948, kb_relative_information_score: 26.8992, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6983, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.892, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 29.0676, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8792, scimark_benchmark: 934.695, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 30.7156, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9116, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7292, kappa: 0.4586, kb_relative_information_score: 24.5833, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7298, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8932, scimark_benchmark: 936.9595, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 24.0867, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8928, scimark_benchmark: 938.988, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7603, kappa: 0.5212, kb_relative_information_score: 25.8363, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7617, predictive_accuracy: 0.7604, prior_entropy: 0.9997, recall: 0.7604, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8919, scimark_benchmark: 945.2015, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.6974, kappa: 0.3969, kb_relative_information_score: 24.0959, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7007, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8944, scimark_benchmark: 934.6244, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.75, kappa: 0.4998, kb_relative_information_score: 29.4593, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8743, scimark_benchmark: 1319.4538,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 26.1766, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9074, scimark_benchmark: 1306.9281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 1326.2019,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6974, kappa: 0.3948, kb_relative_information_score: 26.8992, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6983, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.892, scimark_benchmark: 1315.9287, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 29.0676, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8792, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 34.4365, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9667, scimark_benchmark: 1314.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 1336.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 27.9479, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9172, scimark_benchmark: 1318.6096, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6974, kappa: 0.3948, kb_relative_information_score: 26.8992, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6983, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.892, scimark_benchmark: 1325.6322, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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