OpenML
Supervised Classification on no2

Supervised Classification on no2

Task 3749 Supervised Classification no2 588 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.6059, kappa: 0.2119, kb_relative_information_score: 44.0689, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.606, predictive_accuracy: 0.606, prior_entropy: 1, recall: 0.606, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9706, scimark_benchmark: 1341.5795, usercpu_time_millis: 5300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.5945, kappa: 0.2031, kb_relative_information_score: 45.9783, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6095, predictive_accuracy: 0.602, prior_entropy: 1, recall: 0.602, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.601, kappa: 0.223, kb_relative_information_score: 47.1528, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.625, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9669, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.601, kappa: 0.223, kb_relative_information_score: 47.1528, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.625, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9669, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.601, kappa: 0.223, kb_relative_information_score: 47.1528, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.625, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9669, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.6084, kappa: 0.2507, kb_relative_information_score: 53.819, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6523, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.957, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.6084, kappa: 0.2507, kb_relative_information_score: 53.819, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6523, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.957, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.582, kappa: 0.164, kb_relative_information_score: 81.9904, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.582, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.2931, scimark_benchmark: 1354.3488, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.6395, kappa: 0.2798, kb_relative_information_score: 87.9023, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6406, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9308, scimark_benchmark: 1311.9814, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.5945, kappa: 0.2031, kb_relative_information_score: 45.9783, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6095, predictive_accuracy: 0.602, prior_entropy: 1, recall: 0.602, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.5989, kappa: 0.2034, kb_relative_information_score: 52.9128, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6048, predictive_accuracy: 0.602, prior_entropy: 1, recall: 0.602, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.047, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4907, kappa: -0.0072, kb_relative_information_score: -4.0116, mean_absolute_error: 0.504, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4963, predictive_accuracy: 0.496, prior_entropy: 1, recall: 0.496, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7099, root_relative_squared_error: 1.4199, scimark_benchmark: 1339.8573, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.5698, kappa: 0.1398, kb_relative_information_score: 71.0872, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5701, predictive_accuracy: 0.57, prior_entropy: 1, recall: 0.57, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.1476, scimark_benchmark: 1064.8317, usercpu_time_millis: 2080, usercpu_time_millis_testing: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.621, kappa: 0.2437, kb_relative_information_score: 46.3548, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6231, predictive_accuracy: 0.622, prior_entropy: 1, recall: 0.622, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9692, scimark_benchmark: 1328.941, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.621, kappa: 0.2437, kb_relative_information_score: 46.3548, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6231, predictive_accuracy: 0.622, prior_entropy: 1, recall: 0.622, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9692, scimark_benchmark: 1345.842, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.621, kappa: 0.2437, kb_relative_information_score: 46.3548, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6231, predictive_accuracy: 0.622, prior_entropy: 1, recall: 0.622, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9692, scimark_benchmark: 1309.4998, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.6152, kappa: 0.2317, kb_relative_information_score: 71.9857, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6168, predictive_accuracy: 0.616, prior_entropy: 1, recall: 0.616, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9875, scimark_benchmark: 1227.9507, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.621, kappa: 0.2437, kb_relative_information_score: 46.3548, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6231, predictive_accuracy: 0.622, prior_entropy: 1, recall: 0.622, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9692, scimark_benchmark: 1206.8386, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.621, kappa: 0.2437, kb_relative_information_score: 46.3548, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6231, predictive_accuracy: 0.622, prior_entropy: 1, recall: 0.622, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9692, scimark_benchmark: 1449.4352, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.6152, kappa: 0.2317, kb_relative_information_score: 71.9857, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6168, predictive_accuracy: 0.616, prior_entropy: 1, recall: 0.616, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9875, scimark_benchmark: 916.5769, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.647, kappa: 0.2957, kb_relative_information_score: 76.0585, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6495, predictive_accuracy: 0.648, prior_entropy: 1, recall: 0.648, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9339, scimark_benchmark: 1347.388, usercpu_time_millis: 400, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.6084, kappa: 0.2507, kb_relative_information_score: 53.819, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6523, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.957, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.621, kappa: 0.2437, kb_relative_information_score: 46.3548, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6231, predictive_accuracy: 0.622, prior_entropy: 1, recall: 0.622, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9692, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.6419, kappa: 0.2839, kb_relative_information_score: 115.4037, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6421, predictive_accuracy: 0.642, prior_entropy: 1, recall: 0.642, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5536, root_relative_squared_error: 1.1072, scimark_benchmark: 1320.9387, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.5734, kappa: 0.1482, kb_relative_information_score: 30.2778, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5746, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9805, scimark_benchmark: 944.0517, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.4618, kappa: 0.0732, kb_relative_information_score: 14.3121, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5838, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9937, scimark_benchmark: 1308.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.5739, kappa: 0.1479, kb_relative_information_score: 42.607, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.574, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.988, scimark_benchmark: 932.0242, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3356, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1316.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.537, f_measure: 0.4117, kappa: 0.0566, kb_relative_information_score: 2.3851, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6425, predictive_accuracy: 0.53, prior_entropy: 1, recall: 0.53, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.598, kappa: 0.196, kb_relative_information_score: 97.9907, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.598, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.634, root_relative_squared_error: 1.2681, scimark_benchmark: 1313.6093, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.4641, kappa: 0.0971, kb_relative_information_score: 23.8631, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.634, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.594, kappa: 0.1879, kb_relative_information_score: 46.362, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.594, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9883, scimark_benchmark: 896.937, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.621, kappa: 0.2437, kb_relative_information_score: 46.3548, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6231, predictive_accuracy: 0.622, prior_entropy: 1, recall: 0.622, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9692, scimark_benchmark: 1248.0234, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.6152, kappa: 0.2317, kb_relative_information_score: 71.9857, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6168, predictive_accuracy: 0.616, prior_entropy: 1, recall: 0.616, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9875, scimark_benchmark: 1318.5627, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.6273, kappa: 0.2558, kb_relative_information_score: 51.3307, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6287, predictive_accuracy: 0.628, prior_entropy: 1, recall: 0.628, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9442, scimark_benchmark: 1360.2771, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6255, kappa: 0.2518, kb_relative_information_score: 49.1345, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6265, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9477, scimark_benchmark: 1299.9482, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.6057, kappa: 0.2118, kb_relative_information_score: 77.0152, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6062, predictive_accuracy: 0.606, prior_entropy: 1, recall: 0.606, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1309.4998, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.596, kappa: 0.1919, kb_relative_information_score: 67.7055, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.596, predictive_accuracy: 0.596, prior_entropy: 1, recall: 0.596, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.493, root_relative_squared_error: 0.986, scimark_benchmark: 1329.8902, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.5836, kappa: 0.1678, kb_relative_information_score: 51.045, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5842, predictive_accuracy: 0.584, prior_entropy: 1, recall: 0.584, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9881, scimark_benchmark: 1307.9718, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.6454, kappa: 0.2918, kb_relative_information_score: 76.9202, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6467, predictive_accuracy: 0.646, prior_entropy: 1, recall: 0.646, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9332, scimark_benchmark: 1351.6526, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.5594, kappa: 0.1203, kb_relative_information_score: 21.973, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5605, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9849, scimark_benchmark: 938.343, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4907, kappa: -0.0072, kb_relative_information_score: -4.0116, mean_absolute_error: 0.504, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4963, predictive_accuracy: 0.496, prior_entropy: 1, recall: 0.496, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7099, root_relative_squared_error: 1.4199, scimark_benchmark: 935.5075, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.6059, kappa: 0.2119, kb_relative_information_score: 44.0689, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.606, predictive_accuracy: 0.606, prior_entropy: 1, recall: 0.606, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9706, scimark_benchmark: 885.0921, usercpu_time_millis: 13750, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 13700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.582, kappa: 0.164, kb_relative_information_score: 81.9904, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.582, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.2931, scimark_benchmark: 918.6491, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.5945, kappa: 0.2031, kb_relative_information_score: 45.9783, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6095, predictive_accuracy: 0.602, prior_entropy: 1, recall: 0.602, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, scimark_benchmark: 934.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.6084, kappa: 0.2507, kb_relative_information_score: 48.1143, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6523, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9657, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.601, kappa: 0.223, kb_relative_information_score: 47.1528, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.625, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9669, scimark_benchmark: 932.7645, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.6181, kappa: 0.2511, kb_relative_information_score: 53.0591, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6366, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9696, scimark_benchmark: 915.0395, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.6395, kappa: 0.2798, kb_relative_information_score: 87.9023, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6406, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9308, scimark_benchmark: 1327.8711, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.5818, kappa: 0.1639, kb_relative_information_score: 81.9904, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.582, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.2931, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.565, kappa: 0.1317, kb_relative_information_score: 47.5691, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5664, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525, scimark_benchmark: 1315.3881, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.6247, kappa: 0.2554, kb_relative_information_score: 64.017, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6322, predictive_accuracy: 0.628, prior_entropy: 1, recall: 0.628, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1354.2491, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.5623, kappa: 0.1314, kb_relative_information_score: 65.99, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5679, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3176, scimark_benchmark: 1291.6995, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4587, f_measure: 0.3957, kappa: -0.0828, kb_relative_information_score: -40.0124, mean_absolute_error: 0.54, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4283, predictive_accuracy: 0.46, prior_entropy: 1, recall: 0.46, relative_absolute_error: 1.08, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7348, root_relative_squared_error: 1.4697, scimark_benchmark: 1335.4072, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.5712, kappa: 0.1513, kb_relative_information_score: 35.6675, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5791, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0368, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.572, kappa: 0.144, kb_relative_information_score: 71.9902, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.572, predictive_accuracy: 0.572, prior_entropy: 1, recall: 0.572, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3084, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5805, kappa: 0.1636, kb_relative_information_score: 81.9904, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5829, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.2931, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3356, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5946, kappa: 0.1954, kb_relative_information_score: 49.6132, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.601, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.5696, kappa: 0.1551, kb_relative_information_score: 44.386, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5839, predictive_accuracy: 0.578, prior_entropy: 1, recall: 0.578, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.539, root_relative_squared_error: 1.078, scimark_benchmark: 927.0753, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.5756, kappa: 0.1593, kb_relative_information_score: 30.9973, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.583, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0046, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 941.7954, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, 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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs