Task
Supervised Classification on squash-stored

Supervised Classification on squash-stored

Task 4540 Supervised Classification squash-stored 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.771, kappa: 0.5355, kb_relative_information_score: 233.2241, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7709, predictive_accuracy: 0.7712, prior_entropy: 0.9911, recall: 0.7712, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8884, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.77, kappa: 0.5389, kb_relative_information_score: 236.0187, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7766, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8452, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7406, kappa: 0.4745, kb_relative_information_score: 235.9085, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7408, predictive_accuracy: 0.7404, prior_entropy: 0.9911, recall: 0.7404, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9186, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 51.338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3391, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 51.338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3391, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7699, kappa: 0.5368, kb_relative_information_score: 272.3076, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7734, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9439, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.5838, kappa: 0.155, kb_relative_information_score: 57.231, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.5832, predictive_accuracy: 0.5846, prior_entropy: 0.9911, recall: 0.5846, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9976, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7425, kappa: 0.4786, kb_relative_information_score: 203.2618, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7428, predictive_accuracy: 0.7423, prior_entropy: 0.9911, recall: 0.7423, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8329, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8141, kappa: 0.622, kb_relative_information_score: 307.0682, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.8159, predictive_accuracy: 0.8154, prior_entropy: 0.9911, recall: 0.8154, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8117, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7749, kappa: 0.5437, kb_relative_information_score: 167.5284, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 0.9911, recall: 0.775, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8185, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 51.338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3391, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 51.338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3391, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7699, kappa: 0.5368, kb_relative_information_score: 272.3076, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7734, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9439, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7749, kappa: 0.5437, kb_relative_information_score: 167.5284, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 0.9911, recall: 0.775, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8185, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.771, kappa: 0.5355, kb_relative_information_score: 233.2241, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7709, predictive_accuracy: 0.7712, prior_entropy: 0.9911, recall: 0.7712, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8884, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.77, kappa: 0.5389, kb_relative_information_score: 236.0187, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7766, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8452, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7406, kappa: 0.4745, kb_relative_information_score: 235.9085, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7408, predictive_accuracy: 0.7404, prior_entropy: 0.9911, recall: 0.7404, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9186, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 51.338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3391, scimark_benchmark: 937.5683, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 51.338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3391, scimark_benchmark: 859.5223, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.5838, kappa: 0.155, kb_relative_information_score: 57.231, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.5832, predictive_accuracy: 0.5846, prior_entropy: 0.9911, recall: 0.5846, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9976, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7425, kappa: 0.4786, kb_relative_information_score: 203.2618, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7428, predictive_accuracy: 0.7423, prior_entropy: 0.9911, recall: 0.7423, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8329, scimark_benchmark: 931.9419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8141, kappa: 0.622, kb_relative_information_score: 307.0682, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.8159, predictive_accuracy: 0.8154, prior_entropy: 0.9911, recall: 0.8154, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8117, scimark_benchmark: 936.3213, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7749, kappa: 0.5437, kb_relative_information_score: 167.5284, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 0.9911, recall: 0.775, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8185, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.7948, kappa: 0.5864, kb_relative_information_score: 226.1715, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7975, predictive_accuracy: 0.7942, prior_entropy: 0.9911, recall: 0.7942, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7514, scimark_benchmark: 917.5013, usercpu_time_millis: 1030, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7986, kappa: 0.5938, kb_relative_information_score: 226.3374, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.8009, predictive_accuracy: 0.7981, prior_entropy: 0.9911, recall: 0.7981, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7512, scimark_benchmark: 859.5223, usercpu_time_millis: 430, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.7967, kappa: 0.5898, kb_relative_information_score: 223.274, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7987, predictive_accuracy: 0.7962, prior_entropy: 0.9911, recall: 0.7962, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7596, scimark_benchmark: 940.1541, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7834, kappa: 0.5648, kb_relative_information_score: 220.1428, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7883, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.774, scimark_benchmark: 891.6381, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7659, kappa: 0.527, kb_relative_information_score: 215.4243, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7672, predictive_accuracy: 0.7654, prior_entropy: 0.9911, recall: 0.7654, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7944, scimark_benchmark: 905.3417, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7526, kappa: 0.501, kb_relative_information_score: 252.4721, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7549, predictive_accuracy: 0.7519, prior_entropy: 0.9911, recall: 0.7519, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9312, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7526, kappa: 0.501, kb_relative_information_score: 252.4721, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7549, predictive_accuracy: 0.7519, prior_entropy: 0.9911, recall: 0.7519, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9312, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7526, kappa: 0.501, kb_relative_information_score: 252.4721, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7549, predictive_accuracy: 0.7519, prior_entropy: 0.9911, recall: 0.7519, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9312, scimark_benchmark: 936.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7488, kappa: 0.4932, kb_relative_information_score: 247.8157, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.751, predictive_accuracy: 0.7481, prior_entropy: 0.9911, recall: 0.7481, relative_absolute_error: 0.5242, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9388, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7563, kappa: 0.5074, kb_relative_information_score: 251.9303, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7574, predictive_accuracy: 0.7558, prior_entropy: 0.9911, recall: 0.7558, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9229, scimark_benchmark: 926.5859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7792, kappa: 0.5531, kb_relative_information_score: 280.2547, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7797, predictive_accuracy: 0.7788, prior_entropy: 0.9911, recall: 0.7788, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9432, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7699, kappa: 0.5368, kb_relative_information_score: 272.3076, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7734, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9439, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.5838, kappa: 0.155, kb_relative_information_score: 57.231, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.5832, predictive_accuracy: 0.5846, prior_entropy: 0.9911, recall: 0.5846, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9976, scimark_benchmark: 1350.2591,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7749, kappa: 0.5437, kb_relative_information_score: 167.5284, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 0.9911, recall: 0.775, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8185, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7425, kappa: 0.4786, kb_relative_information_score: 203.2618, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7428, predictive_accuracy: 0.7423, prior_entropy: 0.9911, recall: 0.7423, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8329, scimark_benchmark: 906.4475, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7699, kappa: 0.5368, kb_relative_information_score: 272.3076, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7734, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9439, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 265.9949, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7855, predictive_accuracy: 0.7827, prior_entropy: 0.9911, recall: 0.7827, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8837, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8141, kappa: 0.622, kb_relative_information_score: 307.0682, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.8159, predictive_accuracy: 0.8154, prior_entropy: 0.9911, recall: 0.8154, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8117, scimark_benchmark: 1338.5214, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7749, kappa: 0.5437, kb_relative_information_score: 167.5284, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 0.9911, recall: 0.775, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8185, scimark_benchmark: 1332.6745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.771, kappa: 0.5355, kb_relative_information_score: 233.2241, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7709, predictive_accuracy: 0.7712, prior_entropy: 0.9911, recall: 0.7712, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8884, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.77, kappa: 0.5389, kb_relative_information_score: 236.0187, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7766, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8452, scimark_benchmark: 1319.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7423, kappa: 0.4777, kb_relative_information_score: 239.1082, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.7423, predictive_accuracy: 0.7423, prior_entropy: 0.9911, recall: 0.7423, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9123, scimark_benchmark: 1339.6197, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.5838, kappa: 0.155, kb_relative_information_score: 57.231, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4936, number_of_instances: 520, precision: 0.5832, predictive_accuracy: 0.5846, prior_entropy: 0.9911, recall: 0.5846, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9976, scimark_benchmark: 1349.9109,

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