Task
Supervised Classification on baseball

Supervised Classification on baseball

Task 2077 Supervised Classification baseball 770 runs submitted
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  • at2 study_1 study_107 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9218, kappa: 0.5187, kb_relative_information_score: 0.3498, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9187, predictive_accuracy: 0.9328, prior_entropy: 0.5401, recall: 0.9328, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.7582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9278, kappa: 0.5684, kb_relative_information_score: 0.353, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9239, predictive_accuracy: 0.9351, prior_entropy: 0.5401, recall: 0.9351, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9133, kappa: 0.4756, kb_relative_information_score: 0.3145, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9068, predictive_accuracy: 0.9231, prior_entropy: 0.5401, recall: 0.9231, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.9074, kappa: 0.4468, kb_relative_information_score: 0.1758, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9004, predictive_accuracy: 0.9164, prior_entropy: 0.5401, recall: 0.9164, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, kappa: 0.0294, kb_relative_information_score: 0.1978, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, predictive_accuracy: 0.9082, prior_entropy: 0.5401, recall: 0.9082, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.8653, kappa: 0.0382, kb_relative_information_score: 0.1573, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8413, predictive_accuracy: 0.906, prior_entropy: 0.5401, recall: 0.906, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.8624, kb_relative_information_score: -19.5641, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2434, root_relative_squared_error: 1.0124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9285, kappa: 0.571, kb_relative_information_score: 548.871, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9248, predictive_accuracy: 0.9366, prior_entropy: 0.5456, recall: 0.9366, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.7511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.8624, kb_relative_information_score: -136.0758, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 1.0242, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2409, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.9298, kappa: 0.5841, kb_relative_information_score: 559.7889, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9267, predictive_accuracy: 0.9358, prior_entropy: 0.5456, recall: 0.9358, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.8624, kb_relative_information_score: -7.9631, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.9068, kappa: 0.4195, kb_relative_information_score: 315.6426, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9014, predictive_accuracy: 0.9172, prior_entropy: 0.5456, recall: 0.9172, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8211, kappa: 0.2876, kb_relative_information_score: -891.6879, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9255, predictive_accuracy: 0.7604, prior_entropy: 0.5456, recall: 0.7604, relative_absolute_error: 1.3759, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.6156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.9093, kappa: 0.5199, kb_relative_information_score: 338.6472, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9289, predictive_accuracy: 0.8955, prior_entropy: 0.5456, recall: 0.8955, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2508, root_relative_squared_error: 1.0431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.9093, kappa: 0.4567, kb_relative_information_score: 472.6921, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9066, predictive_accuracy: 0.9134, prior_entropy: 0.5456, recall: 0.9134, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8864, kappa: 0.4714, kb_relative_information_score: 1.7687, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9291, predictive_accuracy: 0.8619, prior_entropy: 0.5456, recall: 0.8619, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.1774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9133, kappa: 0.4791, kb_relative_information_score: 471.4166, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9093, predictive_accuracy: 0.9187, prior_entropy: 0.5456, recall: 0.9187, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8712, kappa: 0.4182, kb_relative_information_score: -176.7624, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9306, predictive_accuracy: 0.8351, prior_entropy: 0.5456, recall: 0.8351, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3145, root_relative_squared_error: 1.3076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9132, kappa: 0.45, kb_relative_information_score: 499.1293, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9104, predictive_accuracy: 0.9261, prior_entropy: 0.5456, recall: 0.9261, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.9275, kappa: 0.5569, kb_relative_information_score: -3418.3275, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9258, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 2.0592, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2997, root_relative_squared_error: 1.2465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.9275, kappa: 0.5609, kb_relative_information_score: 511.5201, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9246, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8974, kappa: 0.3134, kb_relative_information_score: 328.3551, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9054, predictive_accuracy: 0.9231, prior_entropy: 0.5456, recall: 0.9231, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.8624, kb_relative_information_score: -7.9631, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9059, kappa: 0.4056, kb_relative_information_score: 482.9643, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8997, predictive_accuracy: 0.9209, prior_entropy: 0.5456, recall: 0.9209, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.9192, kappa: 0.5042, kb_relative_information_score: 469.6881, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9144, predictive_accuracy: 0.9321, prior_entropy: 0.5456, recall: 0.9321, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.9209, kappa: 0.5055, kb_relative_information_score: 445.5403, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.918, predictive_accuracy: 0.9313, prior_entropy: 0.5456, recall: 0.9313, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8634, kappa: 0.4056, kb_relative_information_score: -357.9148, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9285, predictive_accuracy: 0.8254, prior_entropy: 0.5456, recall: 0.8254, relative_absolute_error: 1.0372, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.877, kappa: 0.1264, kb_relative_information_score: 304.3851, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8702, predictive_accuracy: 0.9134, prior_entropy: 0.5456, recall: 0.9134, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.8061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8688, kappa: 0.4144, kb_relative_information_score: -137.2179, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9246, predictive_accuracy: 0.8358, prior_entropy: 0.5456, recall: 0.8358, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3051, root_relative_squared_error: 1.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.929, kappa: 0.5705, kb_relative_information_score: 550.8428, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9255, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8695, kappa: 0.425, kb_relative_information_score: -153.0215, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9274, predictive_accuracy: 0.8366, prior_entropy: 0.5456, recall: 0.8366, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3131, root_relative_squared_error: 1.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.9367, kappa: 0.6196, kb_relative_information_score: 729.6922, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9343, predictive_accuracy: 0.9425, prior_entropy: 0.5456, recall: 0.9425, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.8113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.8999, kappa: 0.3895, kb_relative_information_score: -3506.2737, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8766, predictive_accuracy: 0.9261, prior_entropy: 0.5456, recall: 0.9261, relative_absolute_error: 2.0917, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.2819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8774, kappa: 0.4252, kb_relative_information_score: -140.156, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9284, predictive_accuracy: 0.8448, prior_entropy: 0.5456, recall: 0.8448, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3048, root_relative_squared_error: 1.2674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.9252, kappa: 0.5336, kb_relative_information_score: -3438.1058, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9272, predictive_accuracy: 0.9373, prior_entropy: 0.5456, recall: 0.9373, relative_absolute_error: 2.0589, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3024, root_relative_squared_error: 1.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.9147, kappa: 0.4529, kb_relative_information_score: -3440.7677, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9175, predictive_accuracy: 0.9321, prior_entropy: 0.5456, recall: 0.9321, relative_absolute_error: 2.0661, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.3036, root_relative_squared_error: 1.2624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.9321, kappa: 0.5912, kb_relative_information_score: 569.3708, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.929, predictive_accuracy: 0.9396, prior_entropy: 0.5456, recall: 0.9396, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9309, kappa: 0.5862, kb_relative_information_score: 499.9639, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9282, predictive_accuracy: 0.9388, prior_entropy: 0.5456, recall: 0.9388, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.7441, scimark_benchmark: 1828.1042, usercpu_time_millis: 48010, usercpu_time_millis_testing: 48010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9286, kappa: 0.5664, kb_relative_information_score: 508.7483, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9253, predictive_accuracy: 0.9351, prior_entropy: 0.5456, recall: 0.9351, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.7386, scimark_benchmark: 1204.1263, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9365, kappa: 0.6241, kb_relative_information_score: 618.9607, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9338, predictive_accuracy: 0.941, prior_entropy: 0.5456, recall: 0.941, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.7231, scimark_benchmark: 1826.6936, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9365, kappa: 0.6241, kb_relative_information_score: 618.9645, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9338, predictive_accuracy: 0.941, prior_entropy: 0.5456, recall: 0.941, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.7231, scimark_benchmark: 1668.8426, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9268, kappa: 0.5576, kb_relative_information_score: 576.3939, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9234, predictive_accuracy: 0.9366, prior_entropy: 0.5456, recall: 0.9366, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.7423, scimark_benchmark: 1669.0998, usercpu_time_millis: 7360, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 7300,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.8624, kb_relative_information_score: 3.9002, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2405, root_relative_squared_error: 1, scimark_benchmark: 1630.1988, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9153, kappa: 0.4935, kb_relative_information_score: 462.4495, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9131, predictive_accuracy: 0.9306, prior_entropy: 0.5456, recall: 0.9306, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.7626, scimark_benchmark: 1523.3459, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.9235, kappa: 0.5437, kb_relative_information_score: 463.3285, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9191, predictive_accuracy: 0.9313, prior_entropy: 0.5456, recall: 0.9313, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.189, root_relative_squared_error: 0.7859, scimark_benchmark: 1523.6583, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9213, kappa: 0.5193, kb_relative_information_score: 516.7842, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9172, predictive_accuracy: 0.9299, prior_entropy: 0.5456, recall: 0.9299, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.7741, scimark_benchmark: 1346.5626, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9236, kappa: 0.5391, kb_relative_information_score: 417.9648, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.923, predictive_accuracy: 0.9351, prior_entropy: 0.5456, recall: 0.9351, relative_absolute_error: 0.571, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.7599, scimark_benchmark: 1531.9607, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.9106, kappa: 0.4884, kb_relative_information_score: 419.3077, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9123, predictive_accuracy: 0.909, prior_entropy: 0.5456, recall: 0.909, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2459, root_relative_squared_error: 1.0227, scimark_benchmark: 1419.3831, usercpu_time_millis: 8490, usercpu_time_millis_testing: 8480, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.9213, kappa: 0.5427, kb_relative_information_score: 511.6339, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.919, predictive_accuracy: 0.9239, prior_entropy: 0.5456, recall: 0.9239, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8946, scimark_benchmark: 1407.7352, usercpu_time_millis: 19670, usercpu_time_millis_testing: 19670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8872, kappa: 0.2407, kb_relative_information_score: 320.8983, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8677, predictive_accuracy: 0.9179, prior_entropy: 0.5456, recall: 0.9179, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.8388, scimark_benchmark: 1222.5501, usercpu_time_millis: 4740, usercpu_time_millis_testing: 4730, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.9097, kappa: 0.4542, kb_relative_information_score: 474.6588, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9119, predictive_accuracy: 0.9284, prior_entropy: 0.5456, recall: 0.9284, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.8476, scimark_benchmark: 1331.7402, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8904, kappa: 0.2803, kb_relative_information_score: 251.0092, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8691, predictive_accuracy: 0.9194, prior_entropy: 0.5456, recall: 0.9194, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.8207, scimark_benchmark: 1399.8831, usercpu_time_millis: 41910, usercpu_time_millis_testing: 41900, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9226, kappa: 0.5316, kb_relative_information_score: 512.6693, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9183, predictive_accuracy: 0.9299, prior_entropy: 0.5456, recall: 0.9299, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.7659, scimark_benchmark: 1367.3438, usercpu_time_millis: 6050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.9199, kappa: 0.5193, kb_relative_information_score: 527.3513, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9166, predictive_accuracy: 0.9246, prior_entropy: 0.5456, recall: 0.9246, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.8364, scimark_benchmark: 1476.2112, usercpu_time_millis: 1480, usercpu_time_millis_testing: 1470, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.9036, kappa: 0.4328, kb_relative_information_score: 374.9286, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9015, predictive_accuracy: 0.906, prior_entropy: 0.5456, recall: 0.906, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2504, root_relative_squared_error: 1.0412, scimark_benchmark: 1574.3594, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.9057, kappa: 0.4366, kb_relative_information_score: 381.9647, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8997, predictive_accuracy: 0.9134, prior_entropy: 0.5456, recall: 0.9134, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9664, scimark_benchmark: 1379.3266, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9079, kappa: 0.5133, kb_relative_information_score: 113.2304, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9222, predictive_accuracy: 0.8978, prior_entropy: 0.5456, recall: 0.8978, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.97, scimark_benchmark: 1396.8734, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.9199, kappa: 0.5272, kb_relative_information_score: 557.7345, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9172, predictive_accuracy: 0.9231, prior_entropy: 0.5456, recall: 0.9231, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9073, scimark_benchmark: 1432.7251, usercpu_time_millis: 11510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.9204, kappa: 0.529, kb_relative_information_score: 534.8164, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9182, predictive_accuracy: 0.9231, prior_entropy: 0.5456, recall: 0.9231, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9402, scimark_benchmark: 1484.741, usercpu_time_millis: 450, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8905, kappa: 0.4612, kb_relative_information_score: 37.2893, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.931, predictive_accuracy: 0.8642, prior_entropy: 0.5456, recall: 0.8642, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2678, root_relative_squared_error: 1.1138, scimark_benchmark: 1542.9524, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9121, kappa: 0.4711, kb_relative_information_score: 474.898, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9096, predictive_accuracy: 0.9164, prior_entropy: 0.5456, recall: 0.9164, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.8842, scimark_benchmark: 1455.3063, usercpu_time_millis: 16570, usercpu_time_millis_testing: 16560, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8865, kappa: 0.4662, kb_relative_information_score: 8.0336, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9281, predictive_accuracy: 0.8619, prior_entropy: 0.5456, recall: 0.8619, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.278, root_relative_squared_error: 1.156, scimark_benchmark: 1503.4234, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9244, kappa: 0.5505, kb_relative_information_score: 437.3584, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9198, predictive_accuracy: 0.9321, prior_entropy: 0.5456, recall: 0.9321, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.7887, scimark_benchmark: 1543.7942, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8624, kb_relative_information_score: 210.8842, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 0.5456, recall: 0.9067, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.8502, scimark_benchmark: 1608.8051, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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