Task
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: 0.8355, 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: 0.8184, 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: 929.0363,
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: 0.8038, 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: 0.8184, 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: 0.826, 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: 1347.993,
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: 0.8184, 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: 1331.1314,
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: 1343.3311, usercpu_time_millis: 3920, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3850,
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: 1336.0954, 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: 1362.9924,
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: 1309.4998,
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: 1349.1517,
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: 1286.2211,
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: 1303.5632, 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: 1331.4379,
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: 1346.4374,
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: 1310.6554,
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: 930.5999,
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: 1375.1578,
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: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 933.4598, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 949.7766, usercpu_time_millis: 280, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 937.5117, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
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: 931.771, usercpu_time_millis: 250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1), predictive_accuracy(1, 1), root_mean_squared_error(1, 1), prior_entropy(1, 1), total_cost(1, 1), f_measure(1, 1), root_relative_squared_error(1, 1), area_under_roc_curve(1, 1), mean_prior_absolute_error(1, 1), precision(1, 1), average_cost(1, 1), number_of_instances(1, 1), recall(1, 1), kb_relative_information_score(1, 1), kappa(1, 1), root_mean_prior_squared_error(1, 1), relative_absolute_error(1, 1), mean_absolute_error(1, 2), predictive_accuracy(1, 2), root_mean_squared_error(1, 2), prior_entropy(1, 2), total_cost(1, 2), f_measure(1, 2), root_relative_squared_error(1, 2), area_under_roc_curve(1, 2), mean_prior_absolute_error(1, 2), precision(1, 2), average_cost(1, 2), number_of_instances(1, 2), recall(1, 2), kb_relative_information_score(1, 2), kappa(1, 2), root_mean_prior_squared_error(1, 2), relative_absolute_error(1, 2), mean_absolute_error(1, 3... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1), predictive_accuracy(1, 1), root_mean_squared_error(1, 1), prior_entropy(1, 1), total_cost(1, 1), f_measure(1, 1), root_relative_squared_error(1, 1), area_under_roc_curve(1, 1), mean_prior_absolute_error(1, 1), precision(1, 1), average_cost(1, 1), number_of_instances(1, 1), recall(1, 1), kb_relative_information_score(1, 1), kappa(1, 1), root_mean_prior_squared_error(1, 1), relative_absolute_error(1, 1), mean_absolute_error(1, 2), predictive_accuracy(1, 2), root_mean_squared_error(1, 2), prior_entropy(1, 2), total_cost(1, 2), f_measure(1, 2), root_relative_squared_error(1, 2), area_under_roc_curve(1, 2), mean_prior_absolute_error(1, 2), precision(1, 2), average_cost(1, 2), number_of_instances(1, 2), recall(1, 2), kb_relative_information_score(1, 2), kappa(1, 2), root_mean_prior_squared_error(1, 2), relative_absolute_error(1, 2), mean_absolute_error(1, 3... (message cut-off due to excessive length)
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: 943.8235, usercpu_time_millis: 4660, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4580,
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: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7588, kappa: 0.4621, kb_relative_information_score: 2552.0293, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.758, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 941.6675, usercpu_time_millis: 40, 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: 972.587, 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: 851.2074, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.761, kappa: 0.464, kb_relative_information_score: 2236.0368, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7634, predictive_accuracy: 0.7689, prior_entropy: 0.9335, recall: 0.7689, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 921.2615, usercpu_time_millis: 660, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 520,
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: 901.4991, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
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: 932.438,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7468, kappa: 0.4386, kb_relative_information_score: 2511.2337, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7455, predictive_accuracy: 0.749, prior_entropy: 0.9335, recall: 0.749, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9165, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 949.7766, usercpu_time_millis: 4270, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7588, kappa: 0.4621, kb_relative_information_score: 2552.0293, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.758, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 946.9304, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, 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: 1332.1612,
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: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7505, kappa: 0.4426, kb_relative_information_score: 3312.6697, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.75, predictive_accuracy: 0.756, prior_entropy: 0.9335, recall: 0.756, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9601, scimark_benchmark: 940.0055, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, 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: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1324.7884,
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: 930.0565, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1336.5541, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 1310.6554, usercpu_time_millis: 370, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 200,
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: 1324.6442, usercpu_time_millis: 3720, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7588, kappa: 0.4621, kb_relative_information_score: 2552.0293, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.758, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 1342.2845, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7588, kappa: 0.4621, kb_relative_information_score: 2552.0293, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.758, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 1316.5668, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 0.5692, 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: 0.8038, 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: 1319.5773, 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: 1318.6467, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 0.807, 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: 0.7843, 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: 0.8151, 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: 1322.3407,
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: 1347.1763,
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: 0.7351, 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: 0.8181, build_cpu_time: 1.0686, build_memory: 110519358.574, f_measure: 0.7565, kappa: 0.4601, kb_relative_information_score: 3407.7366, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7553, predictive_accuracy: 0.7586, prior_entropy: 0.9335, recall: 0.7586, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9817, scimark_benchmark: 935.2997,
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,

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