OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9681, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7743, kappa: 0.5471, kb_relative_information_score: 1502.2543, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7763, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7753, kappa: 0.5488, kb_relative_information_score: 1466.7153, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7768, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8004, kappa: 0.5977, kb_relative_information_score: 1442.769, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8033, kappa: 0.6034, kb_relative_information_score: 1445.5526, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.7971, kappa: 0.5908, kb_relative_information_score: 1406.9245, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7971, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7331, kappa: 0.4632, kb_relative_information_score: 1318.5445, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7337, predictive_accuracy: 0.7329, prior_entropy: 0.9948, recall: 0.7329, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.746, kappa: 0.4934, kb_relative_information_score: 1552.2634, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7528, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7339, kappa: 0.4638, kb_relative_information_score: 1734.279, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7338, predictive_accuracy: 0.7339, prior_entropy: 0.9948, recall: 0.7339, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8019, kappa: 0.6007, kb_relative_information_score: 1508.7117, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7856, kappa: 0.5674, kb_relative_information_score: 1271.1993, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7865, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7897, kappa: 0.5757, kb_relative_information_score: 1299.9172, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7904, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7948, kappa: 0.5861, kb_relative_information_score: 1345.8559, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7951, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.797, kappa: 0.5907, kb_relative_information_score: 1391.4846, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7971, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.7997, kappa: 0.5961, kb_relative_information_score: 1442.4853, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8081, kappa: 0.6132, kb_relative_information_score: 1498.0781, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8078, kappa: 0.6126, kb_relative_information_score: 1541.6073, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.6256, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.6983, kappa: 0.4018, kb_relative_information_score: 847.8325, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7096, predictive_accuracy: 0.6985, prior_entropy: 0.9948, recall: 0.6985, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8091, kappa: 0.6151, kb_relative_information_score: 1595.2074, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8102, kappa: 0.6172, kb_relative_information_score: 1646.8332, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8102, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8101, kappa: 0.6169, kb_relative_information_score: 1674.8594, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8109, kappa: 0.6187, kb_relative_information_score: 1693.0627, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.5642, kappa: 0.1812, kb_relative_information_score: 823.1983, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6493, predictive_accuracy: 0.6137, prior_entropy: 0.9948, recall: 0.6137, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6207, root_relative_squared_error: 1.2459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8131, kappa: 0.623, kb_relative_information_score: 1641.5408, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9948, recall: 0.8134, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8088, kappa: 0.6144, kb_relative_information_score: 1647.5232, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.6298, kappa: 0.2819, kb_relative_information_score: 980.9329, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6582, predictive_accuracy: 0.634, prior_entropy: 0.9948, recall: 0.634, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5722, root_relative_squared_error: 1.1485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8101, kappa: 0.6169, kb_relative_information_score: 1641.1969, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7442, kappa: 0.4845, kb_relative_information_score: 1813.0879, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7441, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7274, kappa: 0.4665, kb_relative_information_score: 1678.8072, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7523, predictive_accuracy: 0.7291, prior_entropy: 0.9948, recall: 0.7291, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7544, kappa: 0.5047, kb_relative_information_score: 1617.8925, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.746, kappa: 0.4934, kb_relative_information_score: 1552.2634, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7528, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7486, kappa: 0.4928, kb_relative_information_score: 1502.8123, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7487, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7448, kappa: 0.4888, kb_relative_information_score: 1454.9441, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7481, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7417, kappa: 0.4789, kb_relative_information_score: 1423.3738, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.742, predictive_accuracy: 0.7425, prior_entropy: 0.9948, recall: 0.7425, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7434, kappa: 0.4845, kb_relative_information_score: 1389.7142, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7447, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.6491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.421, root_relative_squared_error: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7519, kappa: 0.4995, kb_relative_information_score: 966.4078, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8099, kappa: 0.6168, kb_relative_information_score: 1643.9199, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8103, kappa: 0.6174, kb_relative_information_score: 1646.6188, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8123, kappa: 0.6215, kb_relative_information_score: 1657.1393, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8134, kappa: 0.6236, kb_relative_information_score: 1645.649, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8135, predictive_accuracy: 0.8137, prior_entropy: 0.9948, recall: 0.8137, relative_absolute_error: 0.5959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7841, kappa: 0.5645, kb_relative_information_score: 1510.6671, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7841, kappa: 0.5645, kb_relative_information_score: 1510.6671, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7874, kappa: 0.5712, kb_relative_information_score: 1632.3247, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7875, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7941, kappa: 0.5848, kb_relative_information_score: 1947.6025, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7967, kappa: 0.59, kb_relative_information_score: 1760.9124, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7975, kappa: 0.5917, kb_relative_information_score: 1876.2521, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7564,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8065, kappa: 0.6098, kb_relative_information_score: 1544.5385, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7563,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8104, kappa: 0.6177, kb_relative_information_score: 1643.0449, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8105, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8115, kappa: 0.62, kb_relative_information_score: 1659.8338, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8107, kappa: 0.6183, kb_relative_information_score: 1644.9845, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7951, kappa: 0.5866, kb_relative_information_score: 1353.81, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8104, kappa: 0.6176, kb_relative_information_score: 1643.8199, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8105, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8115, kappa: 0.6198, kb_relative_information_score: 1647.3894, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.792, kappa: 0.5804, kb_relative_information_score: 1467.8114, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7924, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8042, kappa: 0.6053, kb_relative_information_score: 1530.7424, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7442, kappa: 0.4839, kb_relative_information_score: 462.6071, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7469, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8094, kappa: 0.6157, kb_relative_information_score: 1641.8709, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7564, kappa: 0.5087, kb_relative_information_score: 775.7689, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8728,

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