OpenML
Supervised Classification on stock

Supervised Classification on stock

Task 4411 Supervised Classification stock 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.94, kappa: 0.8799, kb_relative_information_score: 8016.4277, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9995, recall: 0.94, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4495, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 972.587, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9358, kappa: 0.8715, kb_relative_information_score: 7691.6593, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9359, predictive_accuracy: 0.9358, prior_entropy: 0.9995, recall: 0.9358, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 934.3687, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.968, kappa: 0.936, kb_relative_information_score: 8891.3237, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.9995, recall: 0.968, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3579, scimark_benchmark: 904.0772, usercpu_time_millis: 300, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.968, kappa: 0.936, kb_relative_information_score: 8891.3237, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.9995, recall: 0.968, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3579, scimark_benchmark: 931.771, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 8158.9008, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9995, recall: 0.9514, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3769, scimark_benchmark: 938.191, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9255, kappa: 0.8509, kb_relative_information_score: 7025.5118, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.926, predictive_accuracy: 0.9256, prior_entropy: 0.9995, recall: 0.9256, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4734, scimark_benchmark: 934.3687, usercpu_time_millis: 15240, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 15040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 8374.8231, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9995, recall: 0.9514, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4115, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.968, kappa: 0.936, kb_relative_information_score: 8891.3237, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.9995, recall: 0.968, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3579, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.968, kappa: 0.936, kb_relative_information_score: 8891.3237, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.9995, recall: 0.968, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3579, scimark_benchmark: 932.438, usercpu_time_millis: 300, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8506.8902, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3064, scimark_benchmark: 937.5117, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.94, kappa: 0.8799, kb_relative_information_score: 8016.4277, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9995, recall: 0.94, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4495, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 908.9569, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9358, kappa: 0.8715, kb_relative_information_score: 7691.6593, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9359, predictive_accuracy: 0.9358, prior_entropy: 0.9995, recall: 0.9358, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 938.1282, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.968, kappa: 0.936, kb_relative_information_score: 8891.3237, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.9995, recall: 0.968, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3579, scimark_benchmark: 934.7923, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.968, kappa: 0.936, kb_relative_information_score: 8891.3237, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.9995, recall: 0.968, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3579, scimark_benchmark: 926.5462, usercpu_time_millis: 290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8917, kappa: 0.7843, kb_relative_information_score: 7318.9724, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8969, predictive_accuracy: 0.8919, prior_entropy: 0.9995, recall: 0.8919, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.5981, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 8158.9008, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9995, recall: 0.9514, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3769, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9255, kappa: 0.8509, kb_relative_information_score: 7025.5118, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.926, predictive_accuracy: 0.9256, prior_entropy: 0.9995, recall: 0.9256, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4734, scimark_benchmark: 926.5462, usercpu_time_millis: 10510, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 8374.8231, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9995, recall: 0.9514, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4115, scimark_benchmark: 932.438, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8506.8902, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3064, scimark_benchmark: 936.3213, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9689, kappa: 0.9378, kb_relative_information_score: 8341.2366, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.969, predictive_accuracy: 0.9689, prior_entropy: 0.9995, recall: 0.9689, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3209, scimark_benchmark: 901.4991, usercpu_time_millis: 4720, usercpu_time_millis_testing: 2050, usercpu_time_millis_training: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9689, kappa: 0.9378, kb_relative_information_score: 8336.3674, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.969, predictive_accuracy: 0.9689, prior_entropy: 0.9995, recall: 0.9689, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3229, scimark_benchmark: 859.5223, usercpu_time_millis: 1690, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9685, kappa: 0.937, kb_relative_information_score: 8340.1209, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.9995, recall: 0.9685, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.325, scimark_benchmark: 933.9243, usercpu_time_millis: 840, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9666, kappa: 0.9332, kb_relative_information_score: 8323.9329, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.9995, recall: 0.9666, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3294, scimark_benchmark: 944.235, usercpu_time_millis: 410, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9632, kappa: 0.9263, kb_relative_information_score: 8313.6555, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9995, recall: 0.9632, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3374, scimark_benchmark: 935.3212, usercpu_time_millis: 220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9345, kappa: 0.869, kb_relative_information_score: 7891.9906, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9346, predictive_accuracy: 0.9345, prior_entropy: 0.9995, recall: 0.9345, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4329, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9345, kappa: 0.869, kb_relative_information_score: 7891.9906, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9346, predictive_accuracy: 0.9345, prior_entropy: 0.9995, recall: 0.9345, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4329, scimark_benchmark: 889.4922, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9345, kappa: 0.869, kb_relative_information_score: 7891.9906, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9346, predictive_accuracy: 0.9345, prior_entropy: 0.9995, recall: 0.9345, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4329, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9343, kappa: 0.8686, kb_relative_information_score: 7891.2152, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9344, predictive_accuracy: 0.9343, prior_entropy: 0.9995, recall: 0.9343, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4328, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.3486, kb_relative_information_score: -0.1161, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.2639, predictive_accuracy: 0.5137, prior_entropy: 0.9995, recall: 0.5137, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9255, kappa: 0.8509, kb_relative_information_score: 7025.5118, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.926, predictive_accuracy: 0.9256, prior_entropy: 0.9995, recall: 0.9256, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4734, scimark_benchmark: 1322.3407, usercpu_time_millis: 8810, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 8690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8917, kappa: 0.7843, kb_relative_information_score: 7318.9724, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8969, predictive_accuracy: 0.8919, prior_entropy: 0.9995, recall: 0.8919, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.5981, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 8374.8231, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9995, recall: 0.9514, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4115, scimark_benchmark: 1320.8283, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8506.8902, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3064, scimark_benchmark: 1336.5541, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8487, kappa: 0.6971, kb_relative_information_score: 5809.9486, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.8493, predictive_accuracy: 0.8488, prior_entropy: 0.9995, recall: 0.8488, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6464, scimark_benchmark: 1304.4677, usercpu_time_millis: 510, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9358, kappa: 0.8715, kb_relative_information_score: 7691.6593, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9359, predictive_accuracy: 0.9358, prior_entropy: 0.9995, recall: 0.9358, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1342.2845, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9542, kappa: 0.9083, kb_relative_information_score: 8437.6436, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.9995, recall: 0.9542, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.3946, scimark_benchmark: 1337.1928, usercpu_time_millis: 1020, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1331.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 8158.9008, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9995, recall: 0.9514, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3769, scimark_benchmark: 1329.5628, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 8374.8231, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9995, recall: 0.9514, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4115, scimark_benchmark: 1332.7986, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 8506.8902, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9995, recall: 0.9676, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3064, scimark_benchmark: 1303.9481, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.94, kappa: 0.8799, kb_relative_information_score: 8016.4277, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9995, recall: 0.94, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4495, scimark_benchmark: 1362.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9427, kappa: 0.8854, kb_relative_information_score: 7495.5543, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9995, recall: 0.9427, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4291, scimark_benchmark: 1335.5309, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 8115.5294, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9995, recall: 0.9334, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4429, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9514, kappa: 0.9027, kb_relative_information_score: 8374.8231, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9995, recall: 0.9514, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4115, scimark_benchmark: 1320.4391, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.968, kappa: 0.936, kb_relative_information_score: 8891.3237, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4996, number_of_instances: 9500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.9995, recall: 0.968, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3579, scimark_benchmark: 1302.682, usercpu_time_millis: 280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 160,

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