OpenML
Supervised Classification on GesturePhaseSegmentationProcessed

Supervised Classification on GesturePhaseSegmentationProcessed

Task 14969 Supervised Classification GesturePhaseSegmentationProcessed 20099 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.675, kappa: 0.5805, kb_relative_information_score: 0.4523, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6867, number_of_instances: 9873, precision: 0.6955, predictive_accuracy: 0.6867, prior_entropy: 2.1934, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.7712, unweighted_recall: 0.6143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.6122, kappa: 0.5101, kb_relative_information_score: 0.3643, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6406, number_of_instances: 9873, precision: 0.6843, predictive_accuracy: 0.6406, prior_entropy: 2.1934, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.8204, unweighted_recall: 0.5334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.6752, kappa: 0.5814, kb_relative_information_score: 0.4464, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6877, number_of_instances: 9873, precision: 0.6977, predictive_accuracy: 0.6877, prior_entropy: 2.1934, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.7727, unweighted_recall: 0.6127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.6584, kappa: 0.5614, kb_relative_information_score: 0.4201, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6748, number_of_instances: 9873, precision: 0.6948, predictive_accuracy: 0.6748, prior_entropy: 2.1934, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.7885, unweighted_recall: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.671, kappa: 0.5734, kb_relative_information_score: 0.4834, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6789, number_of_instances: 9873, precision: 0.6778, predictive_accuracy: 0.6789, prior_entropy: 2.1934, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.7641, unweighted_recall: 0.6207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.6198, kappa: 0.5115, kb_relative_information_score: 0.3982, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6362, number_of_instances: 9873, precision: 0.6435, predictive_accuracy: 0.6362, prior_entropy: 2.1934, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.8119, unweighted_recall: 0.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.5957, kappa: 0.4831, kb_relative_information_score: 0.3786, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3065, weighted_recall: 0.616, number_of_instances: 9873, precision: 0.623, predictive_accuracy: 0.616, prior_entropy: 2.1934, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.8254, unweighted_recall: 0.5283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.6965, kappa: 0.6082, kb_relative_information_score: 0.465, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3065, weighted_recall: 0.7073, number_of_instances: 9873, precision: 0.7179, predictive_accuracy: 0.7073, prior_entropy: 2.1934, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.7578, unweighted_recall: 0.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.5073, kappa: 0.3947, kb_relative_information_score: 0.3004, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5604, number_of_instances: 9873, precision: 0.6077, predictive_accuracy: 0.5604, prior_entropy: 2.1934, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8671, unweighted_recall: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.671, kappa: 0.5766, kb_relative_information_score: 0.4361, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6847, number_of_instances: 9873, precision: 0.6979, predictive_accuracy: 0.6847, prior_entropy: 2.1934, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.7797, unweighted_recall: 0.6068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.6794, kappa: 0.5855, kb_relative_information_score: 0.4634, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6899, number_of_instances: 9873, precision: 0.6962, predictive_accuracy: 0.6899, prior_entropy: 2.1934, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.7651, unweighted_recall: 0.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.5803, kappa: 0.4654, kb_relative_information_score: 0.3664, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6031, number_of_instances: 9873, precision: 0.6064, predictive_accuracy: 0.6031, prior_entropy: 2.1934, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.8347, unweighted_recall: 0.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.6266, kappa: 0.5217, kb_relative_information_score: 0.398, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6446, number_of_instances: 9873, precision: 0.6565, predictive_accuracy: 0.6446, prior_entropy: 2.1934, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.8109, unweighted_recall: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.5695, kappa: 0.4637, kb_relative_information_score: 0.3378, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.3065, weighted_recall: 0.609, number_of_instances: 9873, precision: 0.6632, predictive_accuracy: 0.609, prior_entropy: 2.1934, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.8397, unweighted_recall: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.6646, kappa: 0.5677, kb_relative_information_score: 0.4246, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6779, number_of_instances: 9873, precision: 0.6893, predictive_accuracy: 0.6779, prior_entropy: 2.1934, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.7866, unweighted_recall: 0.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.6142, kappa: 0.5132, kb_relative_information_score: 0.3655, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6432, number_of_instances: 9873, precision: 0.6886, predictive_accuracy: 0.6432, prior_entropy: 2.1934, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.821, unweighted_recall: 0.5352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.6843, kappa: 0.5919, kb_relative_information_score: 0.4653, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6946, number_of_instances: 9873, precision: 0.701, predictive_accuracy: 0.6946, prior_entropy: 2.1934, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.7601, unweighted_recall: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.6513, kappa: 0.5556, kb_relative_information_score: 0.3944, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6722, number_of_instances: 9873, precision: 0.7049, predictive_accuracy: 0.6722, prior_entropy: 2.1934, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.7999, unweighted_recall: 0.5767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.5558, kappa: 0.4405, kb_relative_information_score: 0.3456, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5881, number_of_instances: 9873, precision: 0.605, predictive_accuracy: 0.5881, prior_entropy: 2.1934, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.8463, unweighted_recall: 0.4837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.6837, kappa: 0.5899, kb_relative_information_score: 0.4845, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6916, number_of_instances: 9873, precision: 0.6923, predictive_accuracy: 0.6916, prior_entropy: 2.1934, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.759, unweighted_recall: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.6584, kappa: 0.56, kb_relative_information_score: 0.4299, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6717, number_of_instances: 9873, precision: 0.6799, predictive_accuracy: 0.6717, prior_entropy: 2.1934, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.788, unweighted_recall: 0.5957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.6372, kappa: 0.5334, kb_relative_information_score: 0.4143, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6524, number_of_instances: 9873, precision: 0.6618, predictive_accuracy: 0.6524, prior_entropy: 2.1934, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.8013, unweighted_recall: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.6481, kappa: 0.5472, kb_relative_information_score: 0.4174, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6628, number_of_instances: 9873, precision: 0.6747, predictive_accuracy: 0.6628, prior_entropy: 2.1934, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.796, unweighted_recall: 0.5837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.6689, kappa: 0.5733, kb_relative_information_score: 0.4295, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6822, number_of_instances: 9873, precision: 0.6936, predictive_accuracy: 0.6822, prior_entropy: 2.1934, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.7824, unweighted_recall: 0.6059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.6619, kappa: 0.5668, kb_relative_information_score: 0.413, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6792, number_of_instances: 9873, precision: 0.7026, predictive_accuracy: 0.6792, prior_entropy: 2.1934, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.7921, unweighted_recall: 0.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.5881, kappa: 0.4788, kb_relative_information_score: 0.3616, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6167, number_of_instances: 9873, precision: 0.6431, predictive_accuracy: 0.6167, prior_entropy: 2.1934, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.8295, unweighted_recall: 0.5124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.5066, kappa: 0.3943, kb_relative_information_score: 0.3008, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5601, number_of_instances: 9873, precision: 0.6073, predictive_accuracy: 0.5601, prior_entropy: 2.1934, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.8668, unweighted_recall: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.666, kappa: 0.5698, kb_relative_information_score: 0.4294, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6796, number_of_instances: 9873, precision: 0.6922, predictive_accuracy: 0.6796, prior_entropy: 2.1934, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.307, root_relative_squared_error: 0.7842, unweighted_recall: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.599, kappa: 0.4866, kb_relative_information_score: 0.3855, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6182, number_of_instances: 9873, precision: 0.6261, predictive_accuracy: 0.6182, prior_entropy: 2.1934, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.8241, unweighted_recall: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.669, kappa: 0.5717, kb_relative_information_score: 0.4497, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6792, number_of_instances: 9873, precision: 0.6852, predictive_accuracy: 0.6792, prior_entropy: 2.1934, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7769, unweighted_recall: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.6827, kappa: 0.5908, kb_relative_information_score: 0.4488, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6947, number_of_instances: 9873, precision: 0.7053, predictive_accuracy: 0.6947, prior_entropy: 2.1934, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.7685, unweighted_recall: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.6631, kappa: 0.5674, kb_relative_information_score: 0.4166, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6792, number_of_instances: 9873, precision: 0.6997, predictive_accuracy: 0.6792, prior_entropy: 2.1934, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.7881, unweighted_recall: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.5194, kappa: 0.4077, kb_relative_information_score: 0.3082, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5692, number_of_instances: 9873, precision: 0.6157, predictive_accuracy: 0.5692, prior_entropy: 2.1934, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.8623, unweighted_recall: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.618, kappa: 0.509, kb_relative_information_score: 0.4037, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6335, number_of_instances: 9873, precision: 0.6361, predictive_accuracy: 0.6335, prior_entropy: 2.1934, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.8106, unweighted_recall: 0.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.6909, kappa: 0.6001, kb_relative_information_score: 0.4713, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3065, weighted_recall: 0.7006, number_of_instances: 9873, precision: 0.7072, predictive_accuracy: 0.7006, prior_entropy: 2.1934, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.297, root_relative_squared_error: 0.7588, unweighted_recall: 0.6339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.6817, kappa: 0.5882, kb_relative_information_score: 0.4702, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6915, number_of_instances: 9873, precision: 0.6963, predictive_accuracy: 0.6915, prior_entropy: 2.1934, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.7625, unweighted_recall: 0.6252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.6915, kappa: 0.602, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.3065, weighted_recall: 0.7031, number_of_instances: 9873, precision: 0.7159, predictive_accuracy: 0.7031, prior_entropy: 2.1934, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.7644, unweighted_recall: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.6365, kappa: 0.5327, kb_relative_information_score: 0.4167, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6516, number_of_instances: 9873, precision: 0.6579, predictive_accuracy: 0.6516, prior_entropy: 2.1934, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.8007, unweighted_recall: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.68, kappa: 0.5855, kb_relative_information_score: 0.4847, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6885, number_of_instances: 9873, precision: 0.6895, predictive_accuracy: 0.6885, prior_entropy: 2.1934, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.7591, unweighted_recall: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.6967, kappa: 0.6076, kb_relative_information_score: 0.4683, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.3065, weighted_recall: 0.7064, number_of_instances: 9873, precision: 0.7147, predictive_accuracy: 0.7064, prior_entropy: 2.1934, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.7565, unweighted_recall: 0.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.5746, kappa: 0.4605, kb_relative_information_score: 0.3609, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6018, number_of_instances: 9873, precision: 0.6265, predictive_accuracy: 0.6018, prior_entropy: 2.1934, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.8371, unweighted_recall: 0.5047,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.6885, kappa: 0.5974, kb_relative_information_score: 0.4688, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6988, number_of_instances: 9873, precision: 0.7058, predictive_accuracy: 0.6988, prior_entropy: 2.1934, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.7595, unweighted_recall: 0.6303,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.5921, kappa: 0.4721, kb_relative_information_score: 0.4175, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6018, number_of_instances: 9873, precision: 0.5958, predictive_accuracy: 0.6018, prior_entropy: 2.1934, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.8311, unweighted_recall: 0.5434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.3951, kappa: 0.2693, kb_relative_information_score: 0.2362, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4747, number_of_instances: 9873, precision: 0.4328, predictive_accuracy: 0.4747, prior_entropy: 2.1934, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9333, unweighted_recall: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.4066, kappa: 0.2757, kb_relative_information_score: 0.2277, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3065, weighted_recall: 0.4771, number_of_instances: 9873, precision: 0.4754, predictive_accuracy: 0.4771, prior_entropy: 2.1934, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9263, unweighted_recall: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.6922, kappa: 0.6009, kb_relative_information_score: 0.6119, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3065, weighted_recall: 0.699, number_of_instances: 9873, precision: 0.696, predictive_accuracy: 0.699, prior_entropy: 2.1934, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.7834, unweighted_recall: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.6477, kappa: 0.5448, kb_relative_information_score: 0.4781, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6582, number_of_instances: 9873, precision: 0.6558, predictive_accuracy: 0.6582, prior_entropy: 2.1934, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.7858, unweighted_recall: 0.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.6784, kappa: 0.5829, kb_relative_information_score: 0.5678, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6857, number_of_instances: 9873, precision: 0.6826, predictive_accuracy: 0.6857, prior_entropy: 2.1934, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.7654, unweighted_recall: 0.6259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.6784, kappa: 0.5829, kb_relative_information_score: 0.5678, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6857, number_of_instances: 9873, precision: 0.6826, predictive_accuracy: 0.6857, prior_entropy: 2.1934, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.7654, unweighted_recall: 0.6259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.6477, kappa: 0.5448, kb_relative_information_score: 0.4781, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6582, number_of_instances: 9873, precision: 0.6558, predictive_accuracy: 0.6582, prior_entropy: 2.1934, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.7858, unweighted_recall: 0.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.6712, kappa: 0.5742, kb_relative_information_score: 0.5545, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6796, number_of_instances: 9873, precision: 0.677, predictive_accuracy: 0.6796, prior_entropy: 2.1934, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.764, unweighted_recall: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.6922, kappa: 0.6009, kb_relative_information_score: 0.6119, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3065, weighted_recall: 0.699, number_of_instances: 9873, precision: 0.696, predictive_accuracy: 0.699, prior_entropy: 2.1934, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.7834, unweighted_recall: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.6784, kappa: 0.5829, kb_relative_information_score: 0.5678, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6857, number_of_instances: 9873, precision: 0.6826, predictive_accuracy: 0.6857, prior_entropy: 2.1934, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.7654, unweighted_recall: 0.6259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.646, kappa: 0.5427, kb_relative_information_score: 0.4751, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6567, number_of_instances: 9873, precision: 0.6548, predictive_accuracy: 0.6567, prior_entropy: 2.1934, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.7877, unweighted_recall: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.6739, kappa: 0.5773, kb_relative_information_score: 0.5589, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.3065, weighted_recall: 0.6817, number_of_instances: 9873, precision: 0.6784, predictive_accuracy: 0.6817, prior_entropy: 2.1934, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.301, root_relative_squared_error: 0.7689, unweighted_recall: 0.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.6922, kappa: 0.6009, kb_relative_information_score: 0.6119, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3065, weighted_recall: 0.699, number_of_instances: 9873, precision: 0.696, predictive_accuracy: 0.699, prior_entropy: 2.1934, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.7834, unweighted_recall: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.6922, kappa: 0.6009, kb_relative_information_score: 0.6119, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3065, weighted_recall: 0.699, number_of_instances: 9873, precision: 0.696, predictive_accuracy: 0.699, prior_entropy: 2.1934, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.7834, unweighted_recall: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.6922, kappa: 0.6009, kb_relative_information_score: 0.6119, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3065, weighted_recall: 0.699, number_of_instances: 9873, precision: 0.696, predictive_accuracy: 0.699, prior_entropy: 2.1934, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.7834, unweighted_recall: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.6922, kappa: 0.6009, kb_relative_information_score: 0.6119, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3065, weighted_recall: 0.699, number_of_instances: 9873, precision: 0.696, predictive_accuracy: 0.699, prior_entropy: 2.1934, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.7834, unweighted_recall: 0.6406,

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