OpenML
Supervised Classification on plasma_retinol

Supervised Classification on plasma_retinol

Task 4483 Supervised Classification plasma_retinol 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5459, kappa: 0.0688, kb_relative_information_score: 106.451, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5493, predictive_accuracy: 0.5667, prior_entropy: 0.9827, recall: 0.5667, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0625, scimark_benchmark: 1332.9478, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5375, kappa: 0.0475, kb_relative_information_score: 80.3074, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5366, predictive_accuracy: 0.5514, prior_entropy: 0.9827, recall: 0.5514, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0164, scimark_benchmark: 1313.8988, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5459, kappa: 0.0688, kb_relative_information_score: 106.451, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5493, predictive_accuracy: 0.5667, prior_entropy: 0.9827, recall: 0.5667, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0625, scimark_benchmark: 1320.4391, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5375, kappa: 0.0475, kb_relative_information_score: 80.3074, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5366, predictive_accuracy: 0.5514, prior_entropy: 0.9827, recall: 0.5514, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0164, scimark_benchmark: 1346.2927, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4232, kb_relative_information_score: 395.2325, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156, scimark_benchmark: 1287.9613, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4232, kb_relative_information_score: 395.2325, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156, scimark_benchmark: 1260.1387, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5459, kappa: 0.0688, kb_relative_information_score: 106.451, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5493, predictive_accuracy: 0.5667, prior_entropy: 0.9827, recall: 0.5667, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0625, scimark_benchmark: 1344.4042, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.535, kappa: 0.0746, kb_relative_information_score: 63.1377, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5639, predictive_accuracy: 0.5838, prior_entropy: 0.9827, recall: 0.5838, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0043, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5459, kappa: 0.0688, kb_relative_information_score: 106.451, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5493, predictive_accuracy: 0.5667, prior_entropy: 0.9827, recall: 0.5667, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0625, scimark_benchmark: 938.0414, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.5211, kappa: 0.0922, kb_relative_information_score: 108.8155, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.6157, predictive_accuracy: 0.6035, prior_entropy: 0.9827, recall: 0.6035, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0036, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, f_measure: 0.5527, kappa: 0.0778, kb_relative_information_score: 31.0976, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5506, predictive_accuracy: 0.5584, prior_entropy: 0.9827, recall: 0.5584, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0317, scimark_benchmark: 1278.6629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.5462, kappa: 0.0644, kb_relative_information_score: 110.755, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5447, predictive_accuracy: 0.5565, prior_entropy: 0.9827, recall: 0.5565, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.02, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5375, kappa: 0.0475, kb_relative_information_score: 80.3074, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5366, predictive_accuracy: 0.5514, prior_entropy: 0.9827, recall: 0.5514, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0164, scimark_benchmark: 1345.7204, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5471, kappa: 0.0692, kb_relative_information_score: 120.0542, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5487, predictive_accuracy: 0.5648, prior_entropy: 0.9827, recall: 0.5648, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0005, scimark_benchmark: 1064.8317, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.5107, kappa: 0.0011, kb_relative_information_score: -78.6477, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5127, predictive_accuracy: 0.5092, prior_entropy: 0.9827, recall: 0.5092, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6647, root_relative_squared_error: 1.3458, scimark_benchmark: 1368.9272, usercpu_time_millis: 1420, usercpu_time_millis_testing: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, f_measure: 0.5527, kappa: 0.0778, kb_relative_information_score: 31.0976, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5506, predictive_accuracy: 0.5584, prior_entropy: 0.9827, recall: 0.5584, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0317, scimark_benchmark: 1337.5749, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5459, kappa: 0.0688, kb_relative_information_score: 106.451, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5493, predictive_accuracy: 0.5667, prior_entropy: 0.9827, recall: 0.5667, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0625, scimark_benchmark: 889.3151, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.5725, kappa: 0.1218, kb_relative_information_score: 95.9119, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5769, predictive_accuracy: 0.5898, prior_entropy: 0.9827, recall: 0.5898, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0167, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.5537, kappa: 0.0834, kb_relative_information_score: 118.8966, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5565, predictive_accuracy: 0.5721, prior_entropy: 0.9827, recall: 0.5721, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9989, scimark_benchmark: 1309.4998, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5198, kappa: 0.052, kb_relative_information_score: 70.9349, mean_absolute_error: 0.4782, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5508, predictive_accuracy: 0.5762, prior_entropy: 0.9827, recall: 0.5762, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.991, scimark_benchmark: 1342.2985, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, f_measure: 0.5192, kappa: 0.049, kb_relative_information_score: 70.4293, mean_absolute_error: 0.4782, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.548, predictive_accuracy: 0.5743, prior_entropy: 0.9827, recall: 0.5743, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9919, scimark_benchmark: 1309.4998, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, f_measure: 0.5124, kappa: 0.0402, kb_relative_information_score: 63.249, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5428, predictive_accuracy: 0.5717, prior_entropy: 0.9827, recall: 0.5717, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9922, scimark_benchmark: 932.5646, usercpu_time_millis: 420, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, f_measure: 0.5527, kappa: 0.0778, kb_relative_information_score: 31.0976, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5506, predictive_accuracy: 0.5584, prior_entropy: 0.9827, recall: 0.5584, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0317, scimark_benchmark: 1449.4352, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.545, kappa: 0.0714, kb_relative_information_score: 287.0904, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5524, predictive_accuracy: 0.5714, prior_entropy: 0.9827, recall: 0.5714, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6232, root_relative_squared_error: 1.2617, scimark_benchmark: 1350.4702, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, f_measure: 0.5527, kappa: 0.0778, kb_relative_information_score: 31.0976, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5506, predictive_accuracy: 0.5584, prior_entropy: 0.9827, recall: 0.5584, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0317, scimark_benchmark: 1317.0962, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5243, kappa: 0.0684, kb_relative_information_score: 68.1388, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5668, predictive_accuracy: 0.5857, prior_entropy: 0.9827, recall: 0.5857, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0049, scimark_benchmark: 904.3681, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.5449, kappa: 0.068, kb_relative_information_score: 50.4502, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5492, predictive_accuracy: 0.5673, prior_entropy: 0.9827, recall: 0.5673, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0309, scimark_benchmark: 1314.0383, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.4906, kappa: 0.0461, kb_relative_information_score: 91.1806, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5728, predictive_accuracy: 0.5857, prior_entropy: 0.9827, recall: 0.5857, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9995, scimark_benchmark: 996.6105, usercpu_time_millis: 330, usercpu_time_millis_testing: 330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.5462, kappa: 0.0644, kb_relative_information_score: 110.755, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5447, predictive_accuracy: 0.5565, prior_entropy: 0.9827, recall: 0.5565, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.02, scimark_benchmark: 940.0008, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4804, kappa: 0.0241, kb_relative_information_score: 18.2978, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5425, predictive_accuracy: 0.5756, prior_entropy: 0.9827, recall: 0.5756, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0084, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.5546, kappa: 0.0816, kb_relative_information_score: 138.4627, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5527, predictive_accuracy: 0.5616, prior_entropy: 0.9827, recall: 0.5616, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0491, scimark_benchmark: 912.5006, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.566, kappa: 0.1051, kb_relative_information_score: 171.9541, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5646, predictive_accuracy: 0.5737, prior_entropy: 0.9827, recall: 0.5737, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0219, scimark_benchmark: 937.1527, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.5854, kappa: 0.1455, kb_relative_information_score: 193.5653, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5863, predictive_accuracy: 0.5962, prior_entropy: 0.9827, recall: 0.5962, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9984, scimark_benchmark: 938.9967, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.5954, kappa: 0.1671, kb_relative_information_score: 211.9028, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5986, predictive_accuracy: 0.6083, prior_entropy: 0.9827, recall: 0.6083, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9858, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5839, kappa: 0.1439, kb_relative_information_score: 167.8981, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5873, predictive_accuracy: 0.5984, prior_entropy: 0.9827, recall: 0.5984, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9903, scimark_benchmark: 1333.5799, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5286, kappa: 0.0305, kb_relative_information_score: -21.9677, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.527, predictive_accuracy: 0.5308, prior_entropy: 0.9827, recall: 0.5308, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.1032, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.5429, kappa: 0.0607, kb_relative_information_score: 64.9824, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5418, predictive_accuracy: 0.5444, prior_entropy: 0.9827, recall: 0.5444, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5645, root_relative_squared_error: 1.1429, scimark_benchmark: 942.9518, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, f_measure: 0.5188, kappa: 0.0129, kb_relative_information_score: 150.8873, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.519, predictive_accuracy: 0.5403, prior_entropy: 0.9827, recall: 0.5403, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.678, root_relative_squared_error: 1.3727, scimark_benchmark: 854.5188, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4232, kb_relative_information_score: 395.2325, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156, scimark_benchmark: 882.7843, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.528, kappa: 0.0751, kb_relative_information_score: 465.6371, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5719, predictive_accuracy: 0.5886, prior_entropy: 0.9827, recall: 0.5886, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6414, root_relative_squared_error: 1.2987, scimark_benchmark: 940.3347, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.5393, kappa: 0.0633, kb_relative_information_score: 31.2123, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5489, predictive_accuracy: 0.5698, prior_entropy: 0.9827, recall: 0.5698, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0194, scimark_benchmark: 1386.5717, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5188, kappa: 0.0097, kb_relative_information_score: 30.7855, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5168, predictive_accuracy: 0.5219, prior_entropy: 0.9827, recall: 0.5219, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6914, root_relative_squared_error: 1.3999, scimark_benchmark: 923.988, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.5701, kappa: 0.1136, kb_relative_information_score: 132.2605, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5695, predictive_accuracy: 0.5797, prior_entropy: 0.9827, recall: 0.5797, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0306, scimark_benchmark: 942.9708, usercpu_time_millis: 3190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5375, kappa: 0.0475, kb_relative_information_score: 80.3074, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5366, predictive_accuracy: 0.5514, prior_entropy: 0.9827, recall: 0.5514, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0164, scimark_benchmark: 1319.6463, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.5142, kappa: 0.0041, kb_relative_information_score: -22.3633, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5141, predictive_accuracy: 0.5143, prior_entropy: 0.9827, recall: 0.5143, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6969, root_relative_squared_error: 1.4109, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.5379, kappa: 0.0535, kb_relative_information_score: 77.4954, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5414, predictive_accuracy: 0.5606, prior_entropy: 0.9827, recall: 0.5606, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0636, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, f_measure: 0.5031, kappa: 0.0295, kb_relative_information_score: 39.9367, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5364, predictive_accuracy: 0.5692, prior_entropy: 0.9827, recall: 0.5692, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0184, scimark_benchmark: 1318.1432, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.5266, kappa: 0.0289, kb_relative_information_score: 63.917, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5262, predictive_accuracy: 0.527, prior_entropy: 0.9827, recall: 0.527, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6878, root_relative_squared_error: 1.3925, scimark_benchmark: 1318.1432, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.4447, kappa: -0.0198, kb_relative_information_score: 283.4135, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.4768, predictive_accuracy: 0.5606, prior_entropy: 0.9827, recall: 0.5606, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6628, root_relative_squared_error: 1.342, scimark_benchmark: 1327.8711, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.528, kappa: 0.0289, kb_relative_information_score: 104.3032, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5262, predictive_accuracy: 0.5308, prior_entropy: 0.9827, recall: 0.5308, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.602, root_relative_squared_error: 1.2188, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.5703, kappa: 0.1144, kb_relative_information_score: 380.7375, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5687, predictive_accuracy: 0.5756, prior_entropy: 0.9827, recall: 0.5756, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6515, root_relative_squared_error: 1.319, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.5265, kappa: 0.0432, kb_relative_information_score: 304.1208, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5386, predictive_accuracy: 0.5638, prior_entropy: 0.9827, recall: 0.5638, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6604, root_relative_squared_error: 1.3372, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4232, kb_relative_information_score: -0.5787, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001, scimark_benchmark: 1335.643,

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