Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 1795 Supervised Classification credit-g 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7013, kappa: 0.2714, kb_relative_information_score: 779.9567, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.6966, predictive_accuracy: 0.7114, prior_entropy: 0.8818, recall: 0.7114, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4617, root_relative_squared_error: 1.0074, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.6849, kappa: 0.2241, kb_relative_information_score: 218.9198, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.6798, predictive_accuracy: 0.7026, prior_entropy: 0.8818, recall: 0.7026, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.953, scimark_benchmark: 972.587, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.6883, kappa: 0.237, kb_relative_information_score: 624.714, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.6828, predictive_accuracy: 0.7008, prior_entropy: 0.8818, recall: 0.7008, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9742, scimark_benchmark: 851.2074, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.5744, kappa: -0.0121, kb_relative_information_score: 1077.1147, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.516, predictive_accuracy: 0.6928, prior_entropy: 0.8818, recall: 0.6928, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.2095, scimark_benchmark: 941.6675, usercpu_time_millis: 710, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7265, kappa: 0.3363, kb_relative_information_score: 1113.0264, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.723, predictive_accuracy: 0.733, prior_entropy: 0.8818, recall: 0.733, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9253, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7085, kappa: 0.2834, kb_relative_information_score: 769.361, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7051, predictive_accuracy: 0.7234, prior_entropy: 0.8818, recall: 0.7234, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9335, scimark_benchmark: 941.6675, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7325, kappa: 0.3376, kb_relative_information_score: 793.6454, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7383, predictive_accuracy: 0.7536, prior_entropy: 0.8818, recall: 0.7536, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9012, scimark_benchmark: 931.771, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.5744, kappa: -0.0121, kb_relative_information_score: 1077.1147, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.516, predictive_accuracy: 0.6928, prior_entropy: 0.8818, recall: 0.6928, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.2095, scimark_benchmark: 937.5117, usercpu_time_millis: 610, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7265, kappa: 0.3363, kb_relative_information_score: 1113.0264, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.723, predictive_accuracy: 0.733, prior_entropy: 0.8818, recall: 0.733, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9253, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7092, kappa: 0.293, kb_relative_information_score: 1105.212, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.705, predictive_accuracy: 0.7172, prior_entropy: 0.8818, recall: 0.7172, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9876, scimark_benchmark: 938.5498, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7325, kappa: 0.3376, kb_relative_information_score: 793.6454, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7383, predictive_accuracy: 0.7536, prior_entropy: 0.8818, recall: 0.7536, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9012, scimark_benchmark: 943.1009, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7013, kappa: 0.2714, kb_relative_information_score: 779.9567, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.6966, predictive_accuracy: 0.7114, prior_entropy: 0.8818, recall: 0.7114, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4617, root_relative_squared_error: 1.0074, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.6849, kappa: 0.2241, kb_relative_information_score: 218.9198, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.6798, predictive_accuracy: 0.7026, prior_entropy: 0.8818, recall: 0.7026, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.953, scimark_benchmark: 935.2002, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.6883, kappa: 0.237, kb_relative_information_score: 624.714, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.6828, predictive_accuracy: 0.7008, prior_entropy: 0.8818, recall: 0.7008, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9742, scimark_benchmark: 936.2574, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.5744, kappa: -0.0121, kb_relative_information_score: 1077.1147, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.516, predictive_accuracy: 0.6928, prior_entropy: 0.8818, recall: 0.6928, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.2095, scimark_benchmark: 930.404, usercpu_time_millis: 780, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7265, kappa: 0.3363, kb_relative_information_score: 1113.0264, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.723, predictive_accuracy: 0.733, prior_entropy: 0.8818, recall: 0.733, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9253, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7085, kappa: 0.2834, kb_relative_information_score: 769.361, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7051, predictive_accuracy: 0.7234, prior_entropy: 0.8818, recall: 0.7234, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9335, scimark_benchmark: 933.3455, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.736, kappa: 0.3562, kb_relative_information_score: 1319.2139, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7329, predictive_accuracy: 0.7446, prior_entropy: 0.8818, recall: 0.7446, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9279, scimark_benchmark: 932.438, usercpu_time_millis: 28410, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 27900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7092, kappa: 0.293, kb_relative_information_score: 1105.212, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.705, predictive_accuracy: 0.7172, prior_entropy: 0.8818, recall: 0.7172, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9876, scimark_benchmark: 917.5013, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7325, kappa: 0.3376, kb_relative_information_score: 793.6454, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7383, predictive_accuracy: 0.7536, prior_entropy: 0.8818, recall: 0.7536, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9012, scimark_benchmark: 901.4991, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7364, kappa: 0.3518, kb_relative_information_score: 989.2753, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7356, predictive_accuracy: 0.7502, prior_entropy: 0.8818, recall: 0.7502, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8903, scimark_benchmark: 936.2727, usercpu_time_millis: 25940, usercpu_time_millis_testing: 6880, usercpu_time_millis_training: 19060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7369, kappa: 0.3531, kb_relative_information_score: 987.4394, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7361, predictive_accuracy: 0.7506, prior_entropy: 0.8818, recall: 0.7506, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8917, scimark_benchmark: 901.6243, usercpu_time_millis: 11920, usercpu_time_millis_testing: 3000, usercpu_time_millis_training: 8920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7366, kappa: 0.3536, kb_relative_information_score: 978.6238, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7348, predictive_accuracy: 0.7488, prior_entropy: 0.8818, recall: 0.7488, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8956, scimark_benchmark: 921.2615, usercpu_time_millis: 5310, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 4450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7323, kappa: 0.3431, kb_relative_information_score: 976.6493, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7303, predictive_accuracy: 0.7448, prior_entropy: 0.8818, recall: 0.7448, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.902, scimark_benchmark: 911.2316, usercpu_time_millis: 2950, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7285, kappa: 0.3378, kb_relative_information_score: 941.2952, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.725, predictive_accuracy: 0.7374, prior_entropy: 0.8818, recall: 0.7374, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9207, scimark_benchmark: 941.9549, usercpu_time_millis: 1720, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7104, kappa: 0.2925, kb_relative_information_score: 1016.3816, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7062, predictive_accuracy: 0.721, prior_entropy: 0.8818, recall: 0.721, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9416, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7104, kappa: 0.2925, kb_relative_information_score: 1016.3816, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7062, predictive_accuracy: 0.721, prior_entropy: 0.8818, recall: 0.721, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9416, scimark_benchmark: 926.5859, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7104, kappa: 0.2925, kb_relative_information_score: 1016.3816, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7062, predictive_accuracy: 0.721, prior_entropy: 0.8818, recall: 0.721, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9416, scimark_benchmark: 894.7131, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7107, kappa: 0.2928, kb_relative_information_score: 1006.1344, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7066, predictive_accuracy: 0.7218, prior_entropy: 0.8818, recall: 0.7218, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9388, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.6955, kappa: 0.2513, kb_relative_information_score: 845.1791, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.691, predictive_accuracy: 0.7112, prior_entropy: 0.8818, recall: 0.7112, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9423, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -4.3303, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7127, kappa: 0.2871, kb_relative_information_score: 1607.187, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7192, predictive_accuracy: 0.7388, prior_entropy: 0.8818, recall: 0.7388, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4601, root_relative_squared_error: 1.004, scimark_benchmark: 936.1714, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.5744, kappa: -0.0121, kb_relative_information_score: 1077.1147, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.516, predictive_accuracy: 0.6928, prior_entropy: 0.8818, recall: 0.6928, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.2095, scimark_benchmark: 1340.5125, usercpu_time_millis: 1000, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 1347.6543, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7265, kappa: 0.3363, kb_relative_information_score: 1113.0264, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.723, predictive_accuracy: 0.733, prior_entropy: 0.8818, recall: 0.733, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9253, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7085, kappa: 0.2834, kb_relative_information_score: 769.361, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7051, predictive_accuracy: 0.7234, prior_entropy: 0.8818, recall: 0.7234, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9335, scimark_benchmark: 1337.8124, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7325, kappa: 0.3376, kb_relative_information_score: 793.6454, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7383, predictive_accuracy: 0.7536, prior_entropy: 0.8818, recall: 0.7536, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9012, scimark_benchmark: 1342.6744, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7092, kappa: 0.293, kb_relative_information_score: 1105.212, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.705, predictive_accuracy: 0.7172, prior_entropy: 0.8818, recall: 0.7172, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9876, scimark_benchmark: 1347.6543, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7325, kappa: 0.3376, kb_relative_information_score: 793.6454, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7383, predictive_accuracy: 0.7536, prior_entropy: 0.8818, recall: 0.7536, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9012, scimark_benchmark: 1310.6554, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.736, kappa: 0.3562, kb_relative_information_score: 1319.2139, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7329, predictive_accuracy: 0.7446, prior_entropy: 0.8818, recall: 0.7446, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9279, scimark_benchmark: 1306.8702, usercpu_time_millis: 19250, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 18870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7013, kappa: 0.2714, kb_relative_information_score: 779.9567, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.6966, predictive_accuracy: 0.7114, prior_entropy: 0.8818, recall: 0.7114, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4617, root_relative_squared_error: 1.0074, scimark_benchmark: 1345.6844, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7265, kappa: 0.3363, kb_relative_information_score: 1113.0264, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.723, predictive_accuracy: 0.733, prior_entropy: 0.8818, recall: 0.733, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9253, scimark_benchmark: 1323.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.736, kappa: 0.3562, kb_relative_information_score: 1319.2139, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7329, predictive_accuracy: 0.7446, prior_entropy: 0.8818, recall: 0.7446, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9279, scimark_benchmark: 1332.7986, usercpu_time_millis: 21650, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 21260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7092, kappa: 0.293, kb_relative_information_score: 1105.212, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.705, predictive_accuracy: 0.7172, prior_entropy: 0.8818, recall: 0.7172, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9876, scimark_benchmark: 1338.5214, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.5778, kappa: 0.0024, kb_relative_information_score: 379.4641, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7153, predictive_accuracy: 0.7004, prior_entropy: 0.8818, recall: 0.7004, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9412, scimark_benchmark: 1320.1171, usercpu_time_millis: 1900, usercpu_time_millis_testing: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.6883, kappa: 0.237, kb_relative_information_score: 624.714, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.6828, predictive_accuracy: 0.7008, prior_entropy: 0.8818, recall: 0.7008, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9742, scimark_benchmark: 1313.8988, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.5744, kappa: -0.0121, kb_relative_information_score: 1077.1147, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.516, predictive_accuracy: 0.6928, prior_entropy: 0.8818, recall: 0.6928, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.2095, scimark_benchmark: 1346.0226, usercpu_time_millis: 930, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7309, kappa: 0.3424, kb_relative_information_score: 1172.1608, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7279, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9173, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.736, kappa: 0.3562, kb_relative_information_score: 1319.2139, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.7329, predictive_accuracy: 0.7446, prior_entropy: 0.8818, recall: 0.7446, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9279, scimark_benchmark: 1316.5668, usercpu_time_millis: 34620, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 34220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7092, kappa: 0.293, kb_relative_information_score: 1105.212, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4202, number_of_instances: 5000, precision: 0.705, predictive_accuracy: 0.7172, prior_entropy: 0.8818, recall: 0.7172, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9876, scimark_benchmark: 1319.5773, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,

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