Task
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 29 Supervised Classification credit-approval 21239 runs submitted
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  • at2 basic ComplexWorkflows mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_70 study_73 study_98 study_99 under100k under1m
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21239 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8569, kappa: 0.7142, kb_relative_information_score: 0.708, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8565, prior_entropy: 0.9912, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4831, kappa: 0.0803, kb_relative_information_score: -2.4377, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6381, predictive_accuracy: 0.5841, prior_entropy: 0.9913, recall: 0.5841, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, kb_relative_information_score: 2.5025, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, f_measure: 0.4611, kappa: 0.0754, kb_relative_information_score: 23.2538, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7627, predictive_accuracy: 0.5855, prior_entropy: 0.9913, recall: 0.5855, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.0137, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.8131, kappa: 0.6216, kb_relative_information_score: 0.6195, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8131, predictive_accuracy: 0.813, prior_entropy: 0.9912, recall: 0.813, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.8133, kappa: 0.6226, kb_relative_information_score: 0.6195, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8138, predictive_accuracy: 0.813, prior_entropy: 0.9912, recall: 0.813, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8421, kappa: 0.6794, kb_relative_information_score: 0.6814, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8455, predictive_accuracy: 0.8435, prior_entropy: 0.9912, recall: 0.8435, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.864, kappa: 0.7256, kb_relative_information_score: 0.5969, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.867, kappa: 0.7316, kb_relative_information_score: 0.6028, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8684, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 0.4441, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8698, kappa: 0.7369, kb_relative_information_score: 0.6199, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8705, predictive_accuracy: 0.8696, prior_entropy: 0.9912, recall: 0.8696, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.8237, kappa: 0.6466, kb_relative_information_score: 0.6368, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8298, predictive_accuracy: 0.8232, prior_entropy: 0.9912, recall: 0.8232, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.864, kappa: 0.7256, kb_relative_information_score: 0.6133, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.645, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 0.6201, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 0.7264, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.867, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8681, kappa: 0.7331, kb_relative_information_score: 0.7254, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8713, kappa: 0.7401, kb_relative_information_score: 0.6192, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8723, predictive_accuracy: 0.871, prior_entropy: 0.9912, recall: 0.871, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8667, kappa: 0.7302, kb_relative_information_score: 0.7091, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 0.6098, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8727, kappa: 0.7431, kb_relative_information_score: 0.5642, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8739, predictive_accuracy: 0.8725, prior_entropy: 0.9912, recall: 0.8725, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8709, kappa: 0.7386, kb_relative_information_score: 0.6035, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8709, predictive_accuracy: 0.871, prior_entropy: 0.9912, recall: 0.871, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8681, kappa: 0.7331, kb_relative_information_score: 0.7293, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8596, kappa: 0.716, kb_relative_information_score: 0.5263, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8599, predictive_accuracy: 0.8594, prior_entropy: 0.9912, recall: 0.8594, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.877, kappa: 0.7516, kb_relative_information_score: 0.6313, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8779, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8683, kappa: 0.7338, kb_relative_information_score: 0.5827, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8687, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8627, kappa: 0.7235, kb_relative_information_score: 0.5713, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8669, kappa: 0.7309, kb_relative_information_score: 0.6654, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8623, kappa: 0.7213, kb_relative_information_score: 0.7027, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8639, kappa: 0.7247, kb_relative_information_score: 0.6289, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8497, kappa: 0.6986, kb_relative_information_score: 320.0093, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8553, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, kb_relative_information_score: 0.6855, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.8581, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8389, kappa: 0.6728, kb_relative_information_score: 189.1819, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8437, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, kb_relative_information_score: -1.3251, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.7585, kappa: 0.513, kb_relative_information_score: 75.625, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7812, predictive_accuracy: 0.7667, prior_entropy: 0.9913, recall: 0.7667, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, kb_relative_information_score: 7.8903, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.8912, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.3939, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.3059, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.3877, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, kb_relative_information_score: 24.6443, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.5187, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8525, kappa: 0.7059, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737, scimark_benchmark: 1971.8526,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.7257, kappa: 0.4544, kb_relative_information_score: 327.69, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7745, predictive_accuracy: 0.742, prior_entropy: 0.9913, recall: 0.742, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.022, scimark_benchmark: 941.8118,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8524, kappa: 0.7019, kb_relative_information_score: 406.1973, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8532, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6737, scimark_benchmark: 948.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8563, kappa: 0.7089, kb_relative_information_score: 428.578, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8563, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6649, scimark_benchmark: 946.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 424.8661, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8598, kappa: 0.7204, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8711, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545, scimark_benchmark: 944.2346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8641, kappa: 0.7263, kb_relative_information_score: 426.5368, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8666, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6373, scimark_benchmark: 947.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8566, kappa: 0.7098, kb_relative_information_score: 404.0654, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8567, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6714, scimark_benchmark: 910.3207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8511, kappa: 0.6996, kb_relative_information_score: 413.5933, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8527, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6813, scimark_benchmark: 949.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8493, kappa: 0.6939, kb_relative_information_score: 304.2067, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7031, scimark_benchmark: 892.3928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6508, kappa: 0.3222, kb_relative_information_score: 246.2799, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7311, predictive_accuracy: 0.6841, prior_entropy: 0.9913, recall: 0.6841, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1311, scimark_benchmark: 948.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 950.4978,

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