Task
Supervised Classification on labor

Supervised Classification on labor

Task 4 Supervised Classification labor 6416 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_73 under100k under1m
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6416 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6507, kappa: 0.245, kb_relative_information_score: 20.5379, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.804, predictive_accuracy: 0.7193, prior_entropy: 0.9393, recall: 0.7193, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.1101, scimark_benchmark: 947.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8695, kappa: 0.7068, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8967, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343, scimark_benchmark: 948.8327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9305, kappa: 0.8494, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9336, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 948.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7357, kappa: 0.4063, kb_relative_information_score: 25.0629, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7536, predictive_accuracy: 0.7544, prior_entropy: 0.9393, recall: 0.7544, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0384, scimark_benchmark: 949.1474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.9135, kappa: 0.8138, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9199, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206, scimark_benchmark: 948.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.931, kappa: 0.8527, kb_relative_information_score: 47.1606, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9415, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.5143, scimark_benchmark: 944.2207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.9135, kappa: 0.8138, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9199, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206, scimark_benchmark: 946.3124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 20.9812, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.91, scimark_benchmark: 921.5704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8789, kappa: 0.7394, kb_relative_information_score: 30.0604, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8855, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6329, scimark_benchmark: 948.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 43.269, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4778, scimark_benchmark: 916.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 42.3974, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5506, scimark_benchmark: 940.5144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9649, kappa: 0.923, kb_relative_information_score: 50.0406, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4103, scimark_benchmark: 917.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 26.8652, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.695, scimark_benchmark: 943.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6507, kappa: 0.245, kb_relative_information_score: 20.5379, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.804, predictive_accuracy: 0.7193, prior_entropy: 0.9393, recall: 0.7193, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.1101, scimark_benchmark: 913.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9305, kappa: 0.8494, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9336, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 926.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 35.8359, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5673, scimark_benchmark: 948.0474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 25.0347, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9174, scimark_benchmark: 929.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.7544, kappa: 0.4608, kb_relative_information_score: 20.2491, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7544, predictive_accuracy: 0.7544, prior_entropy: 0.9393, recall: 0.7544, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9458, scimark_benchmark: 937.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7544, kappa: 0.4608, kb_relative_information_score: 26.0851, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7544, predictive_accuracy: 0.7544, prior_entropy: 0.9393, recall: 0.7544, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.2712, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.5589, scimark_benchmark: 919.7918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 43.269, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4778, scimark_benchmark: 949.8387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7357, kappa: 0.4063, kb_relative_information_score: 25.0629, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7536, predictive_accuracy: 0.7544, prior_entropy: 0.9393, recall: 0.7544, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0384, scimark_benchmark: 921.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 946.1779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8965, kappa: 0.7791, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9072, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798, scimark_benchmark: 947.7179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8695, kappa: 0.7068, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8967, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343, scimark_benchmark: 901.3273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 46.5996, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.552, scimark_benchmark: 944.3339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 23.9602, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9038, scimark_benchmark: 946.4306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.7512, kappa: 0.4416, kb_relative_information_score: 27.3253, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.781, predictive_accuracy: 0.7719, prior_entropy: 0.9393, recall: 0.7719, relative_absolute_error: 0.499, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0006, scimark_benchmark: 949.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 942.7715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.5498, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.5492, scimark_benchmark: 947.3702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8965, kappa: 0.7791, kb_relative_information_score: 31.4587, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9072, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6175, scimark_benchmark: 945.7616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6507, kappa: 0.245, kb_relative_information_score: 20.5379, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.804, predictive_accuracy: 0.7193, prior_entropy: 0.9393, recall: 0.7193, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.1101, scimark_benchmark: 946.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.808, kappa: 0.5812, kb_relative_information_score: 24.7858, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8096, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8316, scimark_benchmark: 947.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 914.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8695, kappa: 0.7068, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8967, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343, scimark_benchmark: 922.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9649, kappa: 0.923, kb_relative_information_score: 50.0406, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4103, scimark_benchmark: 946.4696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8157, kappa: 0.5864, kb_relative_information_score: 20.5278, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8291, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7585, scimark_benchmark: 946.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 914.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 947.1869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 909.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 46.3057, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.5397, scimark_benchmark: 909.0686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 948.6286,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.9135, kappa: 0.8138, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9199, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206, scimark_benchmark: 948.8205,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 25.0347, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9174, scimark_benchmark: 943.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 25.0347, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9174, scimark_benchmark: 945.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9477, kappa: 0.8858, kb_relative_information_score: 49.7371, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 946.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 923.7432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 27.7572, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6878, scimark_benchmark: 924.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.803, kappa: 0.5612, kb_relative_information_score: 23.931, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8038, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8507, scimark_benchmark: 946.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7264, kappa: 0.3871, kb_relative_information_score: 22.8004, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7285, predictive_accuracy: 0.7368, prior_entropy: 0.9393, recall: 0.7368, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0748, scimark_benchmark: 938.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 27.2584, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6888, scimark_benchmark: 910.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 11.488, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 924.2447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6507, kappa: 0.245, kb_relative_information_score: 20.5379, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.804, predictive_accuracy: 0.7193, prior_entropy: 0.9393, recall: 0.7193, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.1101, scimark_benchmark: 910.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.803, kappa: 0.5612, kb_relative_information_score: 23.931, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8038, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8507, scimark_benchmark: 947.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9305, kappa: 0.8494, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9336, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555, scimark_benchmark: 947.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 28.0689, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6465, scimark_benchmark: 949.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 34.6663, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6108, scimark_benchmark: 913.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 32.4661, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.6126, scimark_benchmark: 948.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6507, kappa: 0.245, kb_relative_information_score: 20.5379, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.804, predictive_accuracy: 0.7193, prior_entropy: 0.9393, recall: 0.7193, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.1101, scimark_benchmark: 927.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7357, kappa: 0.4063, kb_relative_information_score: 25.0629, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7536, predictive_accuracy: 0.7544, prior_entropy: 0.9393, recall: 0.7544, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0384, scimark_benchmark: 919.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 39.7537, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6962, scimark_benchmark: 2011.5616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 35.2657, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.8178, scimark_benchmark: 2006.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8277, kappa: 0.6134, kb_relative_information_score: 30.2081, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.873, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6973, scimark_benchmark: 2015.6443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9277, kappa: 0.8385, kb_relative_information_score: 44.0983, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9367, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5099, scimark_benchmark: 1965.4515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.8246, kappa: 0.6149, kb_relative_information_score: 28.8147, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8246, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8408, scimark_benchmark: 1988.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206, scimark_benchmark: 947.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1626, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798, scimark_benchmark: 942.9194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.947, kappa: 0.8831, kb_relative_information_score: 46.5028, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4056, scimark_benchmark: 929.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 37.9624, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.766, scimark_benchmark: 937.5607,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.3225, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.585, scimark_benchmark: 935.5417,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.3407, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7356, scimark_benchmark: 927.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8916, kappa: 0.7578, kb_relative_information_score: 42.101, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8989, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6643, scimark_benchmark: 932.0867,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 39.5481, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6285, scimark_benchmark: 942.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 46.7588, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5542, scimark_benchmark: 913.2957,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 43.1626, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798, scimark_benchmark: 932.0389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.0217, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 42.002, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6905, scimark_benchmark: 943.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.8831, kb_relative_information_score: 48.1395, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.501, scimark_benchmark: 931.0593,

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