OpenML
Supervised Classification on squash-stored

Supervised Classification on squash-stored

Task 4204 Supervised Classification squash-stored 178 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.5794, kappa: 0.3235, kb_relative_information_score: 162.7232, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5825, predictive_accuracy: 0.5981, prior_entropy: 1.4782, recall: 0.5981, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4566, root_relative_squared_error: 1.0062, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.6181, kappa: 0.3753, kb_relative_information_score: 209.1125, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6194, predictive_accuracy: 0.6212, prior_entropy: 1.4782, recall: 0.6212, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.0186, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 67.506, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 67.506, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4758, f_measure: 0.3775, kappa: -0.0134, kb_relative_information_score: 22.4851, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3749, predictive_accuracy: 0.3827, prior_entropy: 1.4782, recall: 0.3827, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.1343, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7305, kappa: 0.5608, kb_relative_information_score: 270.7267, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7328, predictive_accuracy: 0.7308, prior_entropy: 1.4782, recall: 0.7308, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8455, scimark_benchmark: 931.771, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 67.506, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.592, kappa: 0.3899, kb_relative_information_score: 209.5422, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6079, predictive_accuracy: 0.6077, prior_entropy: 1.4782, recall: 0.6077, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0248, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6323, kappa: 0.398, kb_relative_information_score: 151.7247, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6401, predictive_accuracy: 0.6385, prior_entropy: 1.4782, recall: 0.6385, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8777, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.5794, kappa: 0.3235, kb_relative_information_score: 162.7232, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5825, predictive_accuracy: 0.5981, prior_entropy: 1.4782, recall: 0.5981, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4566, root_relative_squared_error: 1.0062, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.6204, kappa: 0.379, kb_relative_information_score: 210.3155, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6216, predictive_accuracy: 0.6231, prior_entropy: 1.4782, recall: 0.6231, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.0163, scimark_benchmark: 608.4057, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 67.506, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 67.506, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.592, kappa: 0.3899, kb_relative_information_score: 209.5422, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6079, predictive_accuracy: 0.6077, prior_entropy: 1.4782, recall: 0.6077, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0248, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4758, f_measure: 0.3775, kappa: -0.0134, kb_relative_information_score: 22.4851, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3749, predictive_accuracy: 0.3827, prior_entropy: 1.4782, recall: 0.3827, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.1343, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7305, kappa: 0.5608, kb_relative_information_score: 270.7267, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7328, predictive_accuracy: 0.7308, prior_entropy: 1.4782, recall: 0.7308, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8455, scimark_benchmark: 730.6551, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6323, kappa: 0.398, kb_relative_information_score: 151.7247, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6401, predictive_accuracy: 0.6385, prior_entropy: 1.4782, recall: 0.6385, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8777, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.691, kappa: 0.5016, kb_relative_information_score: 218.0102, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6941, predictive_accuracy: 0.6981, prior_entropy: 1.4782, recall: 0.6981, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7917, scimark_benchmark: 972.587, usercpu_time_millis: 930, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.6994, kappa: 0.5151, kb_relative_information_score: 217.5159, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7005, predictive_accuracy: 0.7058, prior_entropy: 1.4782, recall: 0.7058, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7924, scimark_benchmark: 926.5462, usercpu_time_millis: 500, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.6954, kappa: 0.5069, kb_relative_information_score: 215.4337, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6953, predictive_accuracy: 0.7, prior_entropy: 1.4782, recall: 0.7, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.8006, scimark_benchmark: 945.5968, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.6924, kappa: 0.5047, kb_relative_information_score: 221.4341, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6939, predictive_accuracy: 0.6981, prior_entropy: 1.4782, recall: 0.6981, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7951, scimark_benchmark: 920.3788, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.6913, kappa: 0.501, kb_relative_information_score: 213.4088, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6904, predictive_accuracy: 0.6942, prior_entropy: 1.4782, recall: 0.6942, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.8306, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4294, f_measure: 0.2713, kb_relative_information_score: -0.995, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.455, root_relative_squared_error: 1.0026, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.5608, kappa: 0.3011, kb_relative_information_score: 127.1373, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5491, predictive_accuracy: 0.5865, prior_entropy: 1.4782, recall: 0.5865, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9225, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.5608, kappa: 0.3011, kb_relative_information_score: 127.1373, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5491, predictive_accuracy: 0.5865, prior_entropy: 1.4782, recall: 0.5865, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9225, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.5575, kappa: 0.3005, kb_relative_information_score: 133.9989, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5412, predictive_accuracy: 0.5885, prior_entropy: 1.4782, recall: 0.5885, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9438, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.5585, kappa: 0.3122, kb_relative_information_score: 165.187, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5382, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4547, root_relative_squared_error: 1.002, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.5532, kappa: 0.3101, kb_relative_information_score: 169.6071, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5124, predictive_accuracy: 0.6019, prior_entropy: 1.4782, recall: 0.6019, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.0164, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.5532, kappa: 0.3101, kb_relative_information_score: 169.6071, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5124, predictive_accuracy: 0.6019, prior_entropy: 1.4782, recall: 0.6019, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.0164, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 67.506, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6577, kappa: 0.4456, kb_relative_information_score: 176.9837, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6564, predictive_accuracy: 0.6596, prior_entropy: 1.4782, recall: 0.6596, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9237, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.4776, kappa: 0.1798, kb_relative_information_score: 68.868, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.4424, predictive_accuracy: 0.5308, prior_entropy: 1.4782, recall: 0.5308, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9652, scimark_benchmark: 933.0918,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.5359, kappa: 0.2677, kb_relative_information_score: 109.4633, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.535, predictive_accuracy: 0.575, prior_entropy: 1.4782, recall: 0.575, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9062, scimark_benchmark: 1318.4315, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.6204, kappa: 0.379, kb_relative_information_score: 210.3155, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6216, predictive_accuracy: 0.6231, prior_entropy: 1.4782, recall: 0.6231, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.0163, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.6738, kappa: 0.4677, kb_relative_information_score: 250.3953, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6777, predictive_accuracy: 0.6788, prior_entropy: 1.4782, recall: 0.6788, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8623, scimark_benchmark: 1333.0982, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4758, f_measure: 0.3775, kappa: -0.0134, kb_relative_information_score: 22.4851, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3749, predictive_accuracy: 0.3827, prior_entropy: 1.4782, recall: 0.3827, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.1343, scimark_benchmark: 1396.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7305, kappa: 0.5608, kb_relative_information_score: 270.7267, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7328, predictive_accuracy: 0.7308, prior_entropy: 1.4782, recall: 0.7308, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8455, scimark_benchmark: 1324.7884, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7305, kappa: 0.5608, kb_relative_information_score: 270.7267, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7328, predictive_accuracy: 0.7308, prior_entropy: 1.4782, recall: 0.7308, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8455, scimark_benchmark: 1339.5666, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6323, kappa: 0.398, kb_relative_information_score: 151.7247, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6401, predictive_accuracy: 0.6385, prior_entropy: 1.4782, recall: 0.6385, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8777, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4758, f_measure: 0.3775, kappa: -0.0134, kb_relative_information_score: 22.4851, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3749, predictive_accuracy: 0.3827, prior_entropy: 1.4782, recall: 0.3827, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.1343, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7305, kappa: 0.5608, kb_relative_information_score: 270.7267, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7328, predictive_accuracy: 0.7308, prior_entropy: 1.4782, recall: 0.7308, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8455, scimark_benchmark: 940.3347, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6323, kappa: 0.398, kb_relative_information_score: 151.7247, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6401, predictive_accuracy: 0.6385, prior_entropy: 1.4782, recall: 0.6385, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8777, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4758, f_measure: 0.3775, kappa: -0.0134, kb_relative_information_score: 22.4851, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3749, predictive_accuracy: 0.3827, prior_entropy: 1.4782, recall: 0.3827, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.1343, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.592, kappa: 0.3899, kb_relative_information_score: 209.5422, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.6079, predictive_accuracy: 0.6077, prior_entropy: 1.4782, recall: 0.6077, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0248, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4758, f_measure: 0.3775, kappa: -0.0134, kb_relative_information_score: 22.4851, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.3749, predictive_accuracy: 0.3827, prior_entropy: 1.4782, recall: 0.3827, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.1343, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7305, kappa: 0.5608, kb_relative_information_score: 270.7267, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.7328, predictive_accuracy: 0.7308, prior_entropy: 1.4782, recall: 0.7308, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8455, scimark_benchmark: 1297.2338, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.5953, kappa: 0.3493, kb_relative_information_score: 194.7848, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4135, number_of_instances: 520, precision: 0.5925, predictive_accuracy: 0.6, prior_entropy: 1.4782, recall: 0.6, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0121, scimark_benchmark: 1352.1128,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs