Task
Supervised Classification on sonar

Supervised Classification on sonar

Task 1803 Supervised Classification sonar 346 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7333, kappa: 0.4637, kb_relative_information_score: 407.1188, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7333, predictive_accuracy: 0.7337, prior_entropy: 0.9968, recall: 0.7337, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8697, scimark_benchmark: 972.587, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7452, kappa: 0.4883, kb_relative_information_score: 468.0579, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7453, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9184, scimark_benchmark: 851.2074, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 916.0735, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7351, kappa: 0.4674, kb_relative_information_score: 323.3192, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7369, predictive_accuracy: 0.7365, prior_entropy: 0.9968, recall: 0.7365, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8403, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8019, kappa: 0.6015, kb_relative_information_score: 383.4689, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8042, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7568, scimark_benchmark: 931.771, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 941.3847, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 974.2014, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 503.6148, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 938.5498, usercpu_time_millis: 1230, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8019, kappa: 0.6015, kb_relative_information_score: 383.4689, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8042, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7568, scimark_benchmark: 943.1009, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7333, kappa: 0.4637, kb_relative_information_score: 407.1188, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7333, predictive_accuracy: 0.7337, prior_entropy: 0.9968, recall: 0.7337, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8697, scimark_benchmark: 935.2002, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7472, kappa: 0.4923, kb_relative_information_score: 471.5713, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7473, predictive_accuracy: 0.7471, prior_entropy: 0.9968, recall: 0.7471, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9159, scimark_benchmark: 936.2574, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 930.404, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7436, kappa: 0.4844, kb_relative_information_score: 478.1285, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.744, predictive_accuracy: 0.7442, prior_entropy: 0.9968, recall: 0.7442, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9295, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7351, kappa: 0.4674, kb_relative_information_score: 323.3192, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7369, predictive_accuracy: 0.7365, prior_entropy: 0.9968, recall: 0.7365, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8403, scimark_benchmark: 933.3455, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8197, kappa: 0.6373, kb_relative_information_score: 572.0122, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8206, predictive_accuracy: 0.8202, prior_entropy: 0.9968, recall: 0.8202, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6994, scimark_benchmark: 932.438, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 503.6148, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 1051.249, usercpu_time_millis: 1950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8019, kappa: 0.6015, kb_relative_information_score: 383.4689, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8042, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7568, scimark_benchmark: 901.4991, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8213, kappa: 0.6405, kb_relative_information_score: 460.2547, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8235, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7151, scimark_benchmark: 919.9068, usercpu_time_millis: 8070, usercpu_time_millis_testing: 3160, usercpu_time_millis_training: 4910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8127, kappa: 0.6233, kb_relative_information_score: 453.272, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8144, predictive_accuracy: 0.8135, prior_entropy: 0.9968, recall: 0.8135, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7212, scimark_benchmark: 941.4991, usercpu_time_millis: 3340, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8087, kappa: 0.6152, kb_relative_information_score: 459.0088, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8109, predictive_accuracy: 0.8096, prior_entropy: 0.9968, recall: 0.8096, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7249, scimark_benchmark: 917.2109, usercpu_time_millis: 1790, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8101, kappa: 0.618, kb_relative_information_score: 455.4575, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8108, predictive_accuracy: 0.8106, prior_entropy: 0.9968, recall: 0.8106, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.735, scimark_benchmark: 930.0399, usercpu_time_millis: 670, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7899, kappa: 0.5775, kb_relative_information_score: 445.4757, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7904, predictive_accuracy: 0.7904, prior_entropy: 0.9968, recall: 0.7904, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7549, scimark_benchmark: 894.7131, usercpu_time_millis: 340, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7667, kappa: 0.5307, kb_relative_information_score: 542.8253, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7673, predictive_accuracy: 0.7673, prior_entropy: 0.9968, recall: 0.7673, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9094, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7667, kappa: 0.5308, kb_relative_information_score: 541.5842, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7672, predictive_accuracy: 0.7673, prior_entropy: 0.9968, recall: 0.7673, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9096, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7677, kappa: 0.5328, kb_relative_information_score: 539.1624, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7682, predictive_accuracy: 0.7683, prior_entropy: 0.9968, recall: 0.7683, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9068, scimark_benchmark: 894.7131, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.77, kappa: 0.5378, kb_relative_information_score: 539.0907, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.77, predictive_accuracy: 0.7702, prior_entropy: 0.9968, recall: 0.7702, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8828, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7339, kappa: 0.4661, kb_relative_information_score: 467.4717, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7345, predictive_accuracy: 0.7337, prior_entropy: 0.9968, recall: 0.7337, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8963, scimark_benchmark: 894.7131, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.3714, kb_relative_information_score: -0.2639, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7829, kappa: 0.5634, kb_relative_information_score: 583.2837, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.784, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9076, scimark_benchmark: 936.1714, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7682, kappa: 0.5338, kb_relative_information_score: 554.9556, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7697, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9267, scimark_benchmark: 938.3115, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7508, kappa: 0.4989, kb_relative_information_score: 515.7942, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7522, predictive_accuracy: 0.7519, prior_entropy: 0.9968, recall: 0.7519, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9456, scimark_benchmark: 940.0055, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7351, kappa: 0.4674, kb_relative_information_score: 323.3192, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7369, predictive_accuracy: 0.7365, prior_entropy: 0.9968, recall: 0.7365, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8403, scimark_benchmark: 1325.8468, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8197, kappa: 0.6373, kb_relative_information_score: 572.0122, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8206, predictive_accuracy: 0.8202, prior_entropy: 0.9968, recall: 0.8202, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6994, scimark_benchmark: 1342.6744, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8197, kappa: 0.6373, kb_relative_information_score: 572.0122, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8206, predictive_accuracy: 0.8202, prior_entropy: 0.9968, recall: 0.8202, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6994, scimark_benchmark: 1322.3407, usercpu_time_millis: 380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 1324.7884, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7436, kappa: 0.4844, kb_relative_information_score: 478.1285, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.744, predictive_accuracy: 0.7442, prior_entropy: 0.9968, recall: 0.7442, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9295, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1337.9552, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8197, kappa: 0.6373, kb_relative_information_score: 572.0122, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8206, predictive_accuracy: 0.8202, prior_entropy: 0.9968, recall: 0.8202, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6994, scimark_benchmark: 1393.8432, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8197, kappa: 0.6373, kb_relative_information_score: 572.0122, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8206, predictive_accuracy: 0.8202, prior_entropy: 0.9968, recall: 0.8202, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6994, scimark_benchmark: 1332.9478, usercpu_time_millis: 380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 503.6148, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 1354.5533, usercpu_time_millis: 1230, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8019, kappa: 0.6015, kb_relative_information_score: 383.4689, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8042, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7568, scimark_benchmark: 1320.8283, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7333, kappa: 0.4637, kb_relative_information_score: 407.1188, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7333, predictive_accuracy: 0.7337, prior_entropy: 0.9968, recall: 0.7337, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8697, scimark_benchmark: 1310.3168, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7452, kappa: 0.4883, kb_relative_information_score: 468.0579, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7453, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9184, scimark_benchmark: 1317.7919, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7218, kappa: 0.4406, kb_relative_information_score: 400.1118, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7218, predictive_accuracy: 0.7221, prior_entropy: 0.9968, recall: 0.7221, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8944, scimark_benchmark: 1339.3082, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 1342.8584, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 1325.1654, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1325.8927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1332.3382, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8197, kappa: 0.6373, kb_relative_information_score: 572.0122, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8206, predictive_accuracy: 0.8202, prior_entropy: 0.9968, recall: 0.8202, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6994, scimark_benchmark: 1342.4614, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,

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