Task
Supervised Classification on veteran

Supervised Classification on veteran

Task 4290 Supervised Classification veteran 201 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6291, kappa: 0.1078, kb_relative_information_score: 49.8358, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6216, predictive_accuracy: 0.6584, prior_entropy: 0.9006, recall: 0.6584, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.034, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6938, kappa: 0.2775, kb_relative_information_score: 112.2721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.69, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9573, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6956, kappa: 0.2835, kb_relative_information_score: 218.225, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6923, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0131, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.7192, kappa: 0.3261, kb_relative_information_score: 250.1594, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7218, predictive_accuracy: 0.7372, prior_entropy: 0.9006, recall: 0.7372, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9278, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.73, kappa: 0.3597, kb_relative_information_score: 291.8432, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7273, predictive_accuracy: 0.738, prior_entropy: 0.9006, recall: 0.738, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9091, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6998, kappa: 0.2856, kb_relative_information_score: 237.452, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6961, predictive_accuracy: 0.7109, prior_entropy: 0.9006, recall: 0.7109, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9802, scimark_benchmark: 927.2917, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.6242, kappa: 0.1026, kb_relative_information_score: 313.3982, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6425, predictive_accuracy: 0.6869, prior_entropy: 0.9006, recall: 0.6869, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5596, root_relative_squared_error: 1.2058, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.6242, kappa: 0.1026, kb_relative_information_score: 313.3982, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6425, predictive_accuracy: 0.6869, prior_entropy: 0.9006, recall: 0.6869, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5596, root_relative_squared_error: 1.2058, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7267, kappa: 0.3501, kb_relative_information_score: 266.2764, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7244, predictive_accuracy: 0.7365, prior_entropy: 0.9006, recall: 0.7365, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9199, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6291, kappa: 0.1078, kb_relative_information_score: 49.8358, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6216, predictive_accuracy: 0.6584, prior_entropy: 0.9006, recall: 0.6584, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.034, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6938, kappa: 0.2775, kb_relative_information_score: 112.2721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.69, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9573, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6956, kappa: 0.2835, kb_relative_information_score: 218.225, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6923, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0131, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.6242, kappa: 0.1026, kb_relative_information_score: 313.3982, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6425, predictive_accuracy: 0.6869, prior_entropy: 0.9006, recall: 0.6869, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5596, root_relative_squared_error: 1.2058, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.6242, kappa: 0.1026, kb_relative_information_score: 313.3982, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6425, predictive_accuracy: 0.6869, prior_entropy: 0.9006, recall: 0.6869, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5596, root_relative_squared_error: 1.2058, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.7192, kappa: 0.3261, kb_relative_information_score: 250.1594, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7218, predictive_accuracy: 0.7372, prior_entropy: 0.9006, recall: 0.7372, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9278, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.73, kappa: 0.3597, kb_relative_information_score: 291.8432, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7273, predictive_accuracy: 0.738, prior_entropy: 0.9006, recall: 0.738, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9091, scimark_benchmark: 931.9419, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7267, kappa: 0.3501, kb_relative_information_score: 266.2764, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7244, predictive_accuracy: 0.7365, prior_entropy: 0.9006, recall: 0.7365, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9199, scimark_benchmark: 936.3213, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7343, kappa: 0.3609, kb_relative_information_score: 248.3752, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7447, predictive_accuracy: 0.7555, prior_entropy: 0.9006, recall: 0.7555, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.9083, scimark_benchmark: 870.2101, usercpu_time_millis: 1010, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.7254, kappa: 0.3407, kb_relative_information_score: 244.3055, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7296, predictive_accuracy: 0.7438, prior_entropy: 0.9006, recall: 0.7438, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.9113, scimark_benchmark: 906.5979, usercpu_time_millis: 290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.7369, kappa: 0.3674, kb_relative_information_score: 244.3949, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7462, predictive_accuracy: 0.7569, prior_entropy: 0.9006, recall: 0.7569, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.913, scimark_benchmark: 929.7512, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7225, kappa: 0.3337, kb_relative_information_score: 244.3621, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7269, predictive_accuracy: 0.7416, prior_entropy: 0.9006, recall: 0.7416, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9163, scimark_benchmark: 921.2615, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.72, kappa: 0.3275, kb_relative_information_score: 242.39, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7243, predictive_accuracy: 0.7394, prior_entropy: 0.9006, recall: 0.7394, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.9207, scimark_benchmark: 936.8729, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7207, kappa: 0.3433, kb_relative_information_score: 320.0535, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.718, predictive_accuracy: 0.7248, prior_entropy: 0.9006, recall: 0.7248, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9384, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7207, kappa: 0.3433, kb_relative_information_score: 320.0535, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.718, predictive_accuracy: 0.7248, prior_entropy: 0.9006, recall: 0.7248, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9384, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7207, kappa: 0.3433, kb_relative_information_score: 320.0535, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.718, predictive_accuracy: 0.7248, prior_entropy: 0.9006, recall: 0.7248, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9384, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.7221, kappa: 0.3468, kb_relative_information_score: 321.5127, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7195, predictive_accuracy: 0.7263, prior_entropy: 0.9006, recall: 0.7263, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.937, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.7206, kappa: 0.3361, kb_relative_information_score: 297.7137, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7178, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9343, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4633, f_measure: 0.5584, kb_relative_information_score: -3.5891, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0005, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.7213, kappa: 0.3308, kb_relative_information_score: 455.2594, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7252, predictive_accuracy: 0.7401, prior_entropy: 0.9006, recall: 0.7401, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9995, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.7066, kappa: 0.2956, kb_relative_information_score: 420.9648, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7084, predictive_accuracy: 0.7263, prior_entropy: 0.9006, recall: 0.7263, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0181, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.6708, kappa: 0.2071, kb_relative_information_score: 370.2288, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6773, predictive_accuracy: 0.7044, prior_entropy: 0.9006, recall: 0.7044, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0453, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.6675, kappa: 0.2002, kb_relative_information_score: 357.6022, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6829, predictive_accuracy: 0.7088, prior_entropy: 0.9006, recall: 0.7088, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0454, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6237, kappa: 0.1039, kb_relative_information_score: 306.8788, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6493, predictive_accuracy: 0.6905, prior_entropy: 0.9006, recall: 0.6905, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5057, root_relative_squared_error: 1.0897, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5584, kb_relative_information_score: 310.9458, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.2072, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7052, kappa: 0.3071, kb_relative_information_score: 27.044, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7023, predictive_accuracy: 0.7095, prior_entropy: 0.9006, recall: 0.7095, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9579, scimark_benchmark: 894.7131, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.73, kappa: 0.3597, kb_relative_information_score: 291.8432, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7273, predictive_accuracy: 0.738, prior_entropy: 0.9006, recall: 0.738, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9091, scimark_benchmark: 1332.9478, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6938, kappa: 0.2775, kb_relative_information_score: 112.2721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.69, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9573, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.6592, kappa: 0.1902, kb_relative_information_score: 135.8729, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6534, predictive_accuracy: 0.6708, prior_entropy: 0.9006, recall: 0.6708, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9746, scimark_benchmark: 1327.3335,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6998, kappa: 0.2856, kb_relative_information_score: 237.452, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6961, predictive_accuracy: 0.7109, prior_entropy: 0.9006, recall: 0.7109, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9802, scimark_benchmark: 1335.3312, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7267, kappa: 0.3501, kb_relative_information_score: 266.2764, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7244, predictive_accuracy: 0.7365, prior_entropy: 0.9006, recall: 0.7365, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9199, scimark_benchmark: 1317.5348, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6291, kappa: 0.1078, kb_relative_information_score: 49.8358, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6216, predictive_accuracy: 0.6584, prior_entropy: 0.9006, recall: 0.6584, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.034, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6956, kappa: 0.2835, kb_relative_information_score: 218.225, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6923, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0131, scimark_benchmark: 1364.991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7045, kappa: 0.2942, kb_relative_information_score: 217.0338, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.702, predictive_accuracy: 0.7182, prior_entropy: 0.9006, recall: 0.7182, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.432, root_relative_squared_error: 0.931, scimark_benchmark: 1324.5762, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.7192, kappa: 0.3261, kb_relative_information_score: 250.1594, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7218, predictive_accuracy: 0.7372, prior_entropy: 0.9006, recall: 0.7372, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9278, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7267, kappa: 0.3501, kb_relative_information_score: 266.2764, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7244, predictive_accuracy: 0.7365, prior_entropy: 0.9006, recall: 0.7365, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9199, scimark_benchmark: 1344.3409, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6291, kappa: 0.1078, kb_relative_information_score: 49.8358, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6216, predictive_accuracy: 0.6584, prior_entropy: 0.9006, recall: 0.6584, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.034, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.7097, kappa: 0.3054, kb_relative_information_score: 173.2184, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7085, predictive_accuracy: 0.7248, prior_entropy: 0.9006, recall: 0.7248, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9216, scimark_benchmark: 1238.4346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6938, kappa: 0.2775, kb_relative_information_score: 112.2721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.69, predictive_accuracy: 0.7, prior_entropy: 0.9006, recall: 0.7, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9573, scimark_benchmark: 1335.3438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.6242, kappa: 0.1026, kb_relative_information_score: 313.3982, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6425, predictive_accuracy: 0.6869, prior_entropy: 0.9006, recall: 0.6869, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5596, root_relative_squared_error: 1.2058, scimark_benchmark: 1330.8787, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6619, kappa: 0.1912, kb_relative_information_score: 135.1183, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.6564, predictive_accuracy: 0.6796, prior_entropy: 0.9006, recall: 0.6796, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9726, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7267, kappa: 0.3501, kb_relative_information_score: 266.2764, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4317, number_of_instances: 1370, precision: 0.7244, predictive_accuracy: 0.7365, prior_entropy: 0.9006, recall: 0.7365, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9199, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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