OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 1917 Supervised Classification diabetes 781 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7446, kappa: 0.4301, kb_relative_information_score: 2336.4092, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7437, predictive_accuracy: 0.7497, prior_entropy: 0.9335, recall: 0.7497, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8754, scimark_benchmark: 1318.6467, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1320.1171, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1303.9481, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.6135, kappa: 0.1414, kb_relative_information_score: 959.4531, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6102, predictive_accuracy: 0.618, prior_entropy: 0.9335, recall: 0.618, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2968, scimark_benchmark: 1318.3027, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7512, kappa: 0.4485, kb_relative_information_score: 2584.6889, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.75, predictive_accuracy: 0.7534, prior_entropy: 0.9335, recall: 0.7534, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8711, scimark_benchmark: 1343.3311, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1267.7714, usercpu_time_millis: 320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 1541.0084, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, 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: 1318.2298, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1260.1387, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1281.7531, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 1371.9645, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 2640.1268, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7625, predictive_accuracy: 0.7681, prior_entropy: 0.9335, recall: 0.7681, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1341.5795, usercpu_time_millis: 3210, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7585, kappa: 0.4666, kb_relative_information_score: 2718.6934, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7578, predictive_accuracy: 0.7595, prior_entropy: 0.9335, recall: 0.7595, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8663, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7493, kappa: 0.4415, kb_relative_information_score: 2350.2092, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.748, predictive_accuracy: 0.7533, prior_entropy: 0.9335, recall: 0.7533, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8745, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 1541.0084, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, 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: 1345.7204, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1345.7204, usercpu_time_millis: 250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.7425, kappa: 0.4268, kb_relative_information_score: 2725.3072, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7411, predictive_accuracy: 0.7464, prior_entropy: 0.9335, recall: 0.7464, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8774, scimark_benchmark: 1064.8317, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 1064.8317, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7493, kappa: 0.4415, kb_relative_information_score: 2350.2092, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.748, predictive_accuracy: 0.7533, prior_entropy: 0.9335, recall: 0.7533, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8745, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.694, kappa: 0.3142, kb_relative_information_score: 2222.7687, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6925, predictive_accuracy: 0.7034, prior_entropy: 0.9335, recall: 0.7034, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0184, scimark_benchmark: 942.9708, usercpu_time_millis: 2000, usercpu_time_millis_testing: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 942.9708, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7346, kappa: 0.4068, kb_relative_information_score: 2147.5401, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7336, predictive_accuracy: 0.7406, prior_entropy: 0.9335, recall: 0.7406, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9513, scimark_benchmark: 1340.1351, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7593, kappa: 0.461, kb_relative_information_score: 2707.7468, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7602, predictive_accuracy: 0.766, prior_entropy: 0.9335, recall: 0.766, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.89, scimark_benchmark: 1345.842, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7606, kappa: 0.4655, kb_relative_information_score: 2540.0911, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7601, predictive_accuracy: 0.7655, prior_entropy: 0.9335, recall: 0.7655, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 892.0148, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7446, kappa: 0.4301, kb_relative_information_score: 2336.4092, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7437, predictive_accuracy: 0.7497, prior_entropy: 0.9335, recall: 0.7497, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8754, scimark_benchmark: 1342.1678, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7387, kappa: 0.4112, kb_relative_information_score: 1707.8033, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.752, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8564, scimark_benchmark: 1342.2985, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7384, kappa: 0.4105, kb_relative_information_score: 1688.0962, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7522, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8588, scimark_benchmark: 1347.5461, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7367, kappa: 0.4067, kb_relative_information_score: 1705.4084, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7501, predictive_accuracy: 0.7535, prior_entropy: 0.9335, recall: 0.7535, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.859, scimark_benchmark: 1347.993, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 916.5769, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7615, kappa: 0.4645, kb_relative_information_score: 2452.2744, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7652, predictive_accuracy: 0.7703, prior_entropy: 0.9335, recall: 0.7703, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8322, scimark_benchmark: 1331.2332, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7348, kappa: 0.4024, kb_relative_information_score: 1681.3855, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7463, predictive_accuracy: 0.7509, prior_entropy: 0.9335, recall: 0.7509, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8651, scimark_benchmark: 1290.1085, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7445, kappa: 0.4297, kb_relative_information_score: 2678.1999, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7435, predictive_accuracy: 0.7496, prior_entropy: 0.9335, recall: 0.7496, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8589, scimark_benchmark: 1073.494, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7435, kappa: 0.4271, kb_relative_information_score: 2580.3843, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7427, predictive_accuracy: 0.7491, prior_entropy: 0.9335, recall: 0.7491, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8618, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7609, kappa: 0.4664, kb_relative_information_score: 2533.7879, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7602, predictive_accuracy: 0.7655, prior_entropy: 0.9335, recall: 0.7655, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1339.3974, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7607, kappa: 0.4659, kb_relative_information_score: 2541.49, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7601, predictive_accuracy: 0.7654, prior_entropy: 0.9335, recall: 0.7654, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8338, scimark_benchmark: 940.0008, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7396, kappa: 0.4197, kb_relative_information_score: 2336.6746, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7383, predictive_accuracy: 0.7441, prior_entropy: 0.9335, recall: 0.7441, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8926, scimark_benchmark: 939.9176, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7518, kappa: 0.4462, kb_relative_information_score: 2796.5761, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8503, scimark_benchmark: 1363.434, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7502, kappa: 0.4425, kb_relative_information_score: 2720.2096, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7494, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8513, scimark_benchmark: 918.0213, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7507, kappa: 0.4439, kb_relative_information_score: 2653.5724, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7498, predictive_accuracy: 0.7555, prior_entropy: 0.9335, recall: 0.7555, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.852, scimark_benchmark: 1336.2509, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7504, kappa: 0.4423, kb_relative_information_score: 2536.9054, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7498, predictive_accuracy: 0.7559, prior_entropy: 0.9335, recall: 0.7559, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8582, scimark_benchmark: 889.3151, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7403, kappa: 0.4204, kb_relative_information_score: 2375.0911, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7392, predictive_accuracy: 0.7454, prior_entropy: 0.9335, recall: 0.7454, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.874, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7362, kappa: 0.4119, kb_relative_information_score: 2343.5752, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7347, predictive_accuracy: 0.7408, prior_entropy: 0.9335, recall: 0.7408, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8973, scimark_benchmark: 1325.2092, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7361, kappa: 0.4122, kb_relative_information_score: 2490.7873, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7346, predictive_accuracy: 0.7404, prior_entropy: 0.9335, recall: 0.7404, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9281, scimark_benchmark: 1318.1432, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.748, kappa: 0.4368, kb_relative_information_score: 3347.4933, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7475, predictive_accuracy: 0.7538, prior_entropy: 0.9335, recall: 0.7538, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0411, scimark_benchmark: 916.5955, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 1541.0084, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, 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: 1315.395, usercpu_time_millis: 510, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7587, kappa: 0.4574, kb_relative_information_score: 3615.3751, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7643, predictive_accuracy: 0.769, prior_entropy: 0.9335, recall: 0.769, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0083, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7612, kappa: 0.4637, kb_relative_information_score: 2444.5158, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7649, predictive_accuracy: 0.7701, prior_entropy: 0.9335, recall: 0.7701, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325, scimark_benchmark: 1280.6952, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.6135, kappa: 0.1414, kb_relative_information_score: 959.4531, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6102, predictive_accuracy: 0.618, prior_entropy: 0.9335, recall: 0.618, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2968, scimark_benchmark: 938.9967, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 2640.1268, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7625, predictive_accuracy: 0.7681, prior_entropy: 0.9335, recall: 0.7681, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1028.5889, usercpu_time_millis: 4140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7512, kappa: 0.4485, kb_relative_information_score: 2584.6889, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.75, predictive_accuracy: 0.7534, prior_entropy: 0.9335, recall: 0.7534, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8711, scimark_benchmark: 1304.6687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1354.2491, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7031, kappa: 0.3464, kb_relative_information_score: 2459.1332, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.703, predictive_accuracy: 0.7033, prior_entropy: 0.9335, recall: 0.7033, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.1429, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7384, kappa: 0.4172, kb_relative_information_score: 2357.0376, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7369, predictive_accuracy: 0.7426, prior_entropy: 0.9335, recall: 0.7426, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.899, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7357, kappa: 0.4094, kb_relative_information_score: 2062.7282, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7347, predictive_accuracy: 0.7415, prior_entropy: 0.9335, recall: 0.7415, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9109, scimark_benchmark: 1066.7184, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7263, kappa: 0.3953, kb_relative_information_score: 2882.7069, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7254, predictive_accuracy: 0.7273, prior_entropy: 0.9335, recall: 0.7273, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0955, scimark_benchmark: 1386.5717, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,

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