OpenML
Supervised Classification on heart-c

Supervised Classification on heart-c

Task 48 Supervised Classification heart-c 665 runs submitted
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  • basic study_1 study_107 study_41 study_50 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8184, kappa: 0.6338, kb_relative_information_score: 0.4896, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2004, weighted_recall: 0.8185, number_of_instances: 303, precision: 0.8184, predictive_accuracy: 0.8185, prior_entropy: 1.0084, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.713, kappa: 0.4215, kb_relative_information_score: 0.4273, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2004, weighted_recall: 0.7129, number_of_instances: 303, precision: 0.7131, predictive_accuracy: 0.7129, prior_entropy: 1.0084, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3389, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 92.6094, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8142, kappa: 0.6247, kb_relative_information_score: 145.6483, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8159, predictive_accuracy: 0.8152, prior_entropy: 1.0792, recall: 0.8152, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8311, kappa: 0.6589, kb_relative_information_score: 182.2463, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.832, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.7148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7862, kappa: 0.5685, kb_relative_information_score: 131.0319, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7923, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 182.9515, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7793, kappa: 0.5571, kb_relative_information_score: 115.9368, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7818, predictive_accuracy: 0.7789, prior_entropy: 1.0792, recall: 0.7789, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8118, kappa: 0.6205, kb_relative_information_score: 174.854, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8118, predictive_accuracy: 0.8119, prior_entropy: 1.0792, recall: 0.8119, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8312, kappa: 0.6593, kb_relative_information_score: 148.0803, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8317, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.7258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.777, kappa: 0.5497, kb_relative_information_score: 147.2683, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7802, predictive_accuracy: 0.7789, prior_entropy: 1.0792, recall: 0.7789, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.7885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8406, kappa: 0.678, kb_relative_information_score: 179.4654, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8433, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8411, kappa: 0.6791, kb_relative_information_score: 179.8972, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8418, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.23, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7779, kappa: 0.5513, kb_relative_information_score: 150.5834, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7789, predictive_accuracy: 0.7789, prior_entropy: 1.0792, recall: 0.7789, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8055, kappa: 0.6086, kb_relative_information_score: 153.1713, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8062, predictive_accuracy: 0.8053, prior_entropy: 1.0792, recall: 0.8053, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.7316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8406, kappa: 0.678, kb_relative_information_score: 37.2801, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8433, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8307, kappa: 0.658, kb_relative_information_score: 143.3277, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8329, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8178, kappa: 0.6321, kb_relative_information_score: 116.7245, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8186, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.384, kb_relative_information_score: -0.4664, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8153, kappa: 0.6278, kb_relative_information_score: 152.7659, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8155, predictive_accuracy: 0.8152, prior_entropy: 1.0792, recall: 0.8152, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.7432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8182, kappa: 0.633, kb_relative_information_score: 153.7353, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.798, kappa: 0.592, kb_relative_information_score: 155.9921, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7987, predictive_accuracy: 0.7987, prior_entropy: 1.0792, recall: 0.7987, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.782, kappa: 0.5603, kb_relative_information_score: 146.918, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 1.0792, recall: 0.7822, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7951, kappa: 0.5865, kb_relative_information_score: 148.0247, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7951, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8116, kappa: 0.6196, kb_relative_information_score: 179.7439, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 1.0792, recall: 0.8119, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.7331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8443, kappa: 0.6856, kb_relative_information_score: 182.7036, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8453, predictive_accuracy: 0.8449, prior_entropy: 1.0792, recall: 0.8449, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8339, kappa: 0.6645, kb_relative_information_score: 38.0388, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8365, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8402, kappa: 0.6772, kb_relative_information_score: 130.2897, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8449, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.238, root_relative_squared_error: 0.7557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8279, kappa: 0.6524, kb_relative_information_score: 182.0226, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8285, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.225, root_relative_squared_error: 0.7144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8275, kappa: 0.6515, kb_relative_information_score: 142.6719, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8293, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.7103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8442, kappa: 0.6852, kb_relative_information_score: 39.1481, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8457, predictive_accuracy: 0.8449, prior_entropy: 1.0792, recall: 0.8449, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.825, kappa: 0.6472, kb_relative_information_score: 173.4234, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.825, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.8468, kappa: 0.6906, kb_relative_information_score: 39.4995, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8516, predictive_accuracy: 0.8482, prior_entropy: 1.0792, recall: 0.8482, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.9099,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8153, kappa: 0.6278, kb_relative_information_score: 174.5575, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8155, predictive_accuracy: 0.8152, prior_entropy: 1.0792, recall: 0.8152, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.7982, scimark_benchmark: 476.8989, usercpu_time_millis: 3740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7683, kappa: 0.532, kb_relative_information_score: 148.467, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7686, predictive_accuracy: 0.769, prior_entropy: 1.0792, recall: 0.769, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9566, scimark_benchmark: 473.1656, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8408, kappa: 0.6783, kb_relative_information_score: 168.1459, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8426, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.6934, scimark_benchmark: 1254.1389, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7951, kappa: 0.5865, kb_relative_information_score: 148.0247, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7951, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8581, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 182.9515, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.7218, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 83.1903, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8955, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 182.7898, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.7213, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 182.7898, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.7213, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8381, kappa: 0.6734, kb_relative_information_score: 176.78, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8381, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.7204, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.384, kb_relative_information_score: -0.4664, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0001, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.384, kb_relative_information_score: -0.4664, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0001, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7888, kappa: 0.5742, kb_relative_information_score: 141.3904, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7888, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.8225, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7889, kappa: 0.5747, kb_relative_information_score: 151.713, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7891, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.8107, scimark_benchmark: 851.2074, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 174.3374, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7074, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 174.3374, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7074, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8273, kappa: 0.6511, kb_relative_information_score: 135.2919, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8298, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.7352, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 174.3374, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7074, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 161.9389, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8262, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.7482, scimark_benchmark: 927.2917, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8275, kappa: 0.6515, kb_relative_information_score: 142.6719, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8293, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.7103, scimark_benchmark: 931.771, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.4397, kappa: 0.0443, kb_relative_information_score: 34.964, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.6176, predictive_accuracy: 0.5611, prior_entropy: 1.0792, recall: 0.5611, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.419, root_relative_squared_error: 1.3302, scimark_benchmark: 937.5117, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 174.3374, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7074, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 161.9389, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8262, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.7482, scimark_benchmark: 937.5117, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8275, kappa: 0.6515, kb_relative_information_score: 142.6719, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8293, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.7103, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7888, kappa: 0.5742, kb_relative_information_score: 141.3904, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7888, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.8225, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7889, kappa: 0.5747, kb_relative_information_score: 151.713, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7891, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.8107, scimark_benchmark: 936.2574, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.4397, kappa: 0.0443, kb_relative_information_score: 34.964, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.6176, predictive_accuracy: 0.5611, prior_entropy: 1.0792, recall: 0.5611, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.419, root_relative_squared_error: 1.3302, scimark_benchmark: 859.5223, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.4397, kappa: 0.0443, kb_relative_information_score: 34.964, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.6176, predictive_accuracy: 0.5611, prior_entropy: 1.0792, recall: 0.5611, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.419, root_relative_squared_error: 1.3302, scimark_benchmark: 930.404, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 174.3374, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7074, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 174.3374, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7074, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 174.3374, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7074, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8273, kappa: 0.6511, kb_relative_information_score: 135.2919, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8298, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.7352, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 174.3374, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7074, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 161.9389, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8262, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.7482, scimark_benchmark: 936.3213, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8275, kappa: 0.6515, kb_relative_information_score: 142.6719, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8293, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.7103, scimark_benchmark: 901.4991, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8446, kappa: 0.6864, kb_relative_information_score: 147.2456, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8448, predictive_accuracy: 0.8449, prior_entropy: 1.0792, recall: 0.8449, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.6961, scimark_benchmark: 972.587, usercpu_time_millis: 4010, usercpu_time_millis_testing: 1910, usercpu_time_millis_training: 2100,

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