Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131653 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7458, kappa: 0.4309, kb_relative_information_score: 233.2306, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7459, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8808, scimark_benchmark: 898.5878, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7397, kappa: 0.4168, kb_relative_information_score: 166.3541, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8793, scimark_benchmark: 934.1885, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7334, kappa: 0.4042, kb_relative_information_score: 225.3836, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7325, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8869, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7179, kappa: 0.3656, kb_relative_information_score: 156.9966, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.721, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8846, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7378, kappa: 0.4122, kb_relative_information_score: 129.2411, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7386, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8816, scimark_benchmark: 943.4741, usercpu_time_millis: 1080, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7372, kappa: 0.4221, kb_relative_information_score: 286.9851, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7374, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9978, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7403, kappa: 0.423, kb_relative_information_score: 316.435, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7389, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9646, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7497, kappa: 0.4409, kb_relative_information_score: 329.9107, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7491, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9538, scimark_benchmark: 940.0055, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7515, kappa: 0.4454, kb_relative_information_score: 335.5734, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7507, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9426, scimark_benchmark: 938.3115, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7527, kappa: 0.4479, kb_relative_information_score: 339.3605, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.752, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9389, scimark_benchmark: 936.1714, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7347, kappa: 0.4059, kb_relative_information_score: 252.6102, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7346, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8813, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.732, kappa: 0.3999, kb_relative_information_score: 253.5803, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7318, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.88, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.732, kappa: 0.3999, kb_relative_information_score: 253.5803, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7318, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.88, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.732, kappa: 0.3999, kb_relative_information_score: 253.5803, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7318, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.88, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.732, kappa: 0.3999, kb_relative_information_score: 253.5803, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7318, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.88, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7546, kappa: 0.4504, kb_relative_information_score: 226.8989, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8389, scimark_benchmark: 936.7184, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7605, kappa: 0.4629, kb_relative_information_score: 223.0221, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8353, scimark_benchmark: 911.2316, usercpu_time_millis: 340, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7558, kappa: 0.4529, kb_relative_information_score: 222.9515, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8348, scimark_benchmark: 944.235, usercpu_time_millis: 670, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7656, kappa: 0.4741, kb_relative_information_score: 226.2597, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 903.2737, usercpu_time_millis: 1290, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7652, kappa: 0.4731, kb_relative_information_score: 224.406, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 763.3895, usercpu_time_millis: 4200, usercpu_time_millis_testing: 2090, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 257.3874, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8343, scimark_benchmark: 901.4991, usercpu_time_millis: 280, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7505, kappa: 0.4469, kb_relative_information_score: 253.3523, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7492, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8766, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 264.6413, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8602, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 266.4582, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.8234, scimark_benchmark: 936.9595, usercpu_time_millis: 5190, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 5120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 257.9267, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8354, scimark_benchmark: 933.3455, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 264.6413, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8602, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 264.6413, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8602, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 264.6413, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8602, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7458, kappa: 0.4309, kb_relative_information_score: 233.2306, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7459, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8808, scimark_benchmark: 608.4057, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7397, kappa: 0.4168, kb_relative_information_score: 166.3541, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8793, scimark_benchmark: 935.2002, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7334, kappa: 0.4042, kb_relative_information_score: 225.3836, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7325, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8869, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 257.3874, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8343, scimark_benchmark: 943.1009, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7505, kappa: 0.4469, kb_relative_information_score: 253.3523, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7492, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8766, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 264.6413, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8602, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7507, kappa: 0.4479, kb_relative_information_score: 267.8873, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7496, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8737, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 1230.3004,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, usercpu_time_millis: 0.572, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7541, kappa: 0.4499, kb_relative_information_score: 346.4262, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269, usercpu_time_millis: 3.493, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 2.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7588, kappa: 0.458, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, usercpu_time_millis: 0.454, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.7583, kappa: 0.4575, kb_relative_information_score: 357.8742, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0129, usercpu_time_millis: 1.506, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 1.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7674, kappa: 0.4785, kb_relative_information_score: 371.6117, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958, usercpu_time_millis: 1.438, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.7544, kappa: 0.4508, kb_relative_information_score: 346.4262, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269, usercpu_time_millis: 146.377, usercpu_time_millis_testing: 9.658, usercpu_time_millis_training: 136.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 316.6616, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0626, usercpu_time_millis: 2.586, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 1.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.7505, kappa: 0.4408, kb_relative_information_score: 341.8471, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7514, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0325, usercpu_time_millis: 2.714, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 2.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 245.6844, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.1431, usercpu_time_millis: 2.611, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 1.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7321, kappa: 0.4025, kb_relative_information_score: 305.2136, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7306, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.076, usercpu_time_millis: 0.186, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7686, kappa: 0.481, kb_relative_information_score: 373.9013, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7711, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.7179, kappa: 0.3647, kb_relative_information_score: 298.3449, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7243, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0839, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7691, kappa: 0.4817, kb_relative_information_score: 376.1909, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7728, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.99, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.7563, kappa: 0.4534, kb_relative_information_score: 353.295, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0185, usercpu_time_millis: 0.685, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.758, kappa: 0.4565, kb_relative_information_score: 357.8742, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7614, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0129, usercpu_time_millis: 1.911, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 373.9013, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929, usercpu_time_millis: 0.449, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7656, kappa: 0.4741, kb_relative_information_score: 369.3221, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986, usercpu_time_millis: 1.132, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 1.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5128, kappa: -0.0026, kb_relative_information_score: 151.8113, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4236, predictive_accuracy: 0.6497, prior_entropy: 0.9335, recall: 0.6497, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5918, root_relative_squared_error: 1.2417, usercpu_time_millis: 22.86, usercpu_time_millis_testing: 1.664, usercpu_time_millis_training: 21.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 373.9013, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7571, kappa: 0.4596, kb_relative_information_score: 346.4262, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269, usercpu_time_millis: 0.837, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6805, kappa: 0.2803, kb_relative_information_score: 236.526, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6833, predictive_accuracy: 0.6979, prior_entropy: 0.9335, recall: 0.6979, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5496, root_relative_squared_error: 1.1531, usercpu_time_millis: 0.725, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, usercpu_time_millis: 0.317, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.6993, kappa: 0.324, kb_relative_information_score: 261.7115, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7006, predictive_accuracy: 0.7122, prior_entropy: 0.9335, recall: 0.7122, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.1254, usercpu_time_millis: 1.744, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 1.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.6989, kappa: 0.3268, kb_relative_information_score: 302.9241, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7493, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0786, usercpu_time_millis: 1.398, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 1.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.7317, kappa: 0.4124, kb_relative_information_score: 293.7657, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0892, usercpu_time_millis: 2.292, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 1.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 373.9013, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929, usercpu_time_millis: 10.044, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 10.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7671, kappa: 0.4776, kb_relative_information_score: 371.6117, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958, usercpu_time_millis: 0.726, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.672,

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