OpenML
Supervised Classification on autos

Supervised Classification on autos

Task 9 Supervised Classification autos 1382 runs submitted
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  • basic study_1 study_107 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 29.8503, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.3219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.5949, kappa: 0.4962, kb_relative_information_score: 107.9245, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6203, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3339, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.6342, kappa: 0.5351, kb_relative_information_score: 115.2551, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6333, predictive_accuracy: 0.639, prior_entropy: 2.3268, recall: 0.639, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.5949, kappa: 0.4962, kb_relative_information_score: 107.9245, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6203, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3339, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7258, kappa: 0.6391, kb_relative_information_score: 129.736, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7319, predictive_accuracy: 0.722, prior_entropy: 2.3268, recall: 0.722, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.8331,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7611, kappa: 0.6896, kb_relative_information_score: 143.2236, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7624, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.7118, scimark_benchmark: 1237.8253, usercpu_time_millis: 7190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7403, kappa: 0.6606, kb_relative_information_score: 134.7304, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7502, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8126, scimark_benchmark: 473.1656, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7991, kappa: 0.7385, kb_relative_information_score: 148.6216, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6965, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7028, kappa: 0.6132, kb_relative_information_score: 129.8947, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7045, predictive_accuracy: 0.7024, prior_entropy: 2.3268, recall: 0.7024, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8687, scimark_benchmark: 1254.1389, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5493, kappa: 0.4332, kb_relative_information_score: 101.7194, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5665, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9588, scimark_benchmark: 473.1656, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5432, kappa: 0.4273, kb_relative_information_score: 101.7446, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5612, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9574, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.6528, kappa: 0.56, kb_relative_information_score: 125.6207, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6557, predictive_accuracy: 0.6585, prior_entropy: 2.3268, recall: 0.6585, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8499, scimark_benchmark: 1241.5236, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5432, kappa: 0.4273, kb_relative_information_score: 101.7446, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5612, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9574, scimark_benchmark: 1248.2165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.783, kappa: 0.7214, kb_relative_information_score: 143.6212, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.79, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6946, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.6583, kappa: 0.56, kb_relative_information_score: 109.8178, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6568, predictive_accuracy: 0.6634, prior_entropy: 2.3268, recall: 0.6634, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.7855, scimark_benchmark: 851.2074, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.6003, kappa: 0.488, kb_relative_information_score: 101.5882, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5937, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.8173, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 932.438, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 974.2014, usercpu_time_millis: 710, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.783, kappa: 0.7214, kb_relative_information_score: 143.6212, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.79, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6946, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.6583, kappa: 0.56, kb_relative_information_score: 109.8178, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6568, predictive_accuracy: 0.6634, prior_entropy: 2.3268, recall: 0.6634, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.7855, scimark_benchmark: 936.2574, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 943.6618, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.6003, kappa: 0.488, kb_relative_information_score: 101.5882, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5937, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.8173, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 945.6228, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 901.4991, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 1342.6744, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.783, kappa: 0.7214, kb_relative_information_score: 143.6212, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.79, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6946, scimark_benchmark: 1331.4379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.6528, kappa: 0.56, kb_relative_information_score: 125.6207, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6557, predictive_accuracy: 0.6585, prior_entropy: 2.3268, recall: 0.6585, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8499, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.6003, kappa: 0.488, kb_relative_information_score: 101.5882, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5937, predictive_accuracy: 0.6098, prior_entropy: 2.3268, recall: 0.6098, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.8173, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 1309.2287, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1325.4787, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1317.5348, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 1340.9749, usercpu_time_millis: 500, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 1310.6554, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.6583, kappa: 0.56, kb_relative_information_score: 109.8178, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6568, predictive_accuracy: 0.6634, prior_entropy: 2.3268, recall: 0.6634, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.7855, scimark_benchmark: 1344.0499, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 1320.8283, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1338.6409, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1296.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 1299.5896, usercpu_time_millis: 490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.2476, kappa: 0.025, kb_relative_information_score: 24.9423, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2205, predictive_accuracy: 0.2829, prior_entropy: 2.3268, recall: 0.2829, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4526, root_relative_squared_error: 1.3644, scimark_benchmark: 1344.3409, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8139, kappa: 0.7585, kb_relative_information_score: 157.2008, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6252, scimark_benchmark: 1322.369, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 1324.6608, usercpu_time_millis: 550, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 1340.5125, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,

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