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OpenML
Task
Supervised Classification on vinnie

Supervised Classification on vinnie

Task 3724 Supervised Classification vinnie 747 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


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747 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8473, kappa: 0.695, kb_relative_information_score: 223.3533, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.849, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6956, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.8447, kappa: 0.6899, kb_relative_information_score: 261.8813, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8472, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7883, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.3711, kappa: 0.0222, kb_relative_information_score: 17.6399, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.753, predictive_accuracy: 0.5237, prior_entropy: 0.9995, recall: 0.5237, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6902, root_relative_squared_error: 1.3808, scimark_benchmark: 916.6405, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8287, kappa: 0.6572, kb_relative_information_score: 249.8694, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8295, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8275, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 176.2544, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6911, scimark_benchmark: 930.5999, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.7448, kappa: 0.4892, kb_relative_information_score: 185.8061, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.7448, predictive_accuracy: 0.7447, prior_entropy: 0.9995, recall: 0.7447, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0108, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8421, kappa: 0.684, kb_relative_information_score: 219.9536, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6627, scimark_benchmark: 889.3151, usercpu_time_millis: 320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 212.6797, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6873, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 210.7659, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6873, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.85, kappa: 0.7002, kb_relative_information_score: 222.6344, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8514, predictive_accuracy: 0.85, prior_entropy: 0.9995, recall: 0.85, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6967, scimark_benchmark: 1327.8711, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8473, kappa: 0.695, kb_relative_information_score: 223.5121, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.849, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6957, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8263, kappa: 0.6528, kb_relative_information_score: 203.0959, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8271, predictive_accuracy: 0.8263, prior_entropy: 0.9995, recall: 0.8263, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7227, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 199.8853, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7243, scimark_benchmark: 1309.3173, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.776, kappa: 0.5536, kb_relative_information_score: 209.8298, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.7804, predictive_accuracy: 0.7763, prior_entropy: 0.9995, recall: 0.7763, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9462, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3188, kb_relative_information_score: -10.3878, mean_absolute_error: 0.5132, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.237, predictive_accuracy: 0.4868, prior_entropy: 0.9995, recall: 0.4868, relative_absolute_error: 1.027, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7164, root_relative_squared_error: 1.4332, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8341, kappa: 0.6689, kb_relative_information_score: 212.0192, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8366, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7036, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 263.8833, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7816, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8211, kappa: 0.6421, kb_relative_information_score: 243.8635, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8213, predictive_accuracy: 0.8211, prior_entropy: 0.9995, recall: 0.8211, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8463, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.3481, kb_relative_information_score: -0.0432, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.2633, predictive_accuracy: 0.5132, prior_entropy: 0.9995, recall: 0.5132, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0001, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 200.2547, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7222, scimark_benchmark: 1605.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 219.8901, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7114, scimark_benchmark: 927.0753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 216.7567, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7052, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 216.7567, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7052, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 216.7567, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7052, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8421, kappa: 0.684, kb_relative_information_score: 259.849, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7654, scimark_benchmark: 894.7455, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 260.8885, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7681, scimark_benchmark: 936.6206, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 259.8062, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7761, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 262.2266, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7774, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 262.7897, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.775, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8368, kappa: 0.6734, kb_relative_information_score: 224.157, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8368, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6686, scimark_benchmark: 938.4285, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8368, kappa: 0.6734, kb_relative_information_score: 224.1383, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8368, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6686, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8394, kappa: 0.6785, kb_relative_information_score: 223.9203, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8396, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6683, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.842, kappa: 0.6838, kb_relative_information_score: 223.6816, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8422, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6688, scimark_benchmark: 947.9494,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, build_cpu_time: 0.0193, build_memory: 1013905684.8, f_measure: 0.8393, kappa: 0.6784, kb_relative_information_score: 222.455, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8398, predictive_accuracy: 0.8395, prior_entropy: 0.9995, recall: 0.8395, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6679, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, build_cpu_time: 0.0077, build_memory: 1632621024, f_measure: 0.8367, kappa: 0.6731, kb_relative_information_score: 222.8379, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8373, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6644, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, build_cpu_time: 1.4994, build_memory: 46323436, f_measure: 0.8366, kappa: 0.673, kb_relative_information_score: 223.0182, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8376, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6796, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, build_cpu_time: 2.7183, build_memory: 732294976.8, f_measure: 0.8263, kappa: 0.6523, kb_relative_information_score: 222.5709, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8263, predictive_accuracy: 0.8263, prior_entropy: 0.9995, recall: 0.8263, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6887, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, build_cpu_time: 5.3065, build_memory: 574761567.2, f_measure: 0.8421, kappa: 0.6841, kb_relative_information_score: 224.6712, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8422, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6835, scimark_benchmark: 944.3006,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, build_cpu_time: 12.8405, build_memory: 854895699.2, f_measure: 0.8421, kappa: 0.6843, kb_relative_information_score: 222.8732, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8426, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6928, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, build_cpu_time: 2.6582, build_memory: 1075666756, f_measure: 0.8315, kappa: 0.6636, kb_relative_information_score: 226.5998, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8337, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6889, scimark_benchmark: 943.4163,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, build_cpu_time: 2.6875, build_memory: 570857541.6, f_measure: 0.8315, kappa: 0.6636, kb_relative_information_score: 226.5998, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8337, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6889, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, build_cpu_time: 1.9402, build_memory: 1549008453.6, f_measure: 0.8289, kappa: 0.6583, kb_relative_information_score: 223.8482, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8308, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6956, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, build_cpu_time: 0.0714, build_memory: 647133178.4, f_measure: 0.8263, kappa: 0.6528, kb_relative_information_score: 220.5496, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8271, predictive_accuracy: 0.8263, prior_entropy: 0.9995, recall: 0.8263, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.349, root_relative_squared_error: 0.6983, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, build_cpu_time: 0.2948, build_memory: 245961581.6, f_measure: 0.8447, kappa: 0.6898, kb_relative_information_score: 223.6999, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8466, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.695, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, build_cpu_time: 0.2597, build_memory: 1017524312.8, f_measure: 0.8447, kappa: 0.6898, kb_relative_information_score: 223.8603, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8466, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6951, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, build_cpu_time: 0.2735, build_memory: 730025845.6, f_measure: 0.8447, kappa: 0.6898, kb_relative_information_score: 223.8603, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8466, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6951, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, build_cpu_time: 0.0234, build_memory: 1704191878.4, f_measure: 0.8262, kappa: 0.6531, kb_relative_information_score: 222.6621, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8284, predictive_accuracy: 0.8263, prior_entropy: 0.9995, recall: 0.8263, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6929, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, build_cpu_time: 0.0265, build_memory: 560720778.4, f_measure: 0.8262, kappa: 0.6531, kb_relative_information_score: 222.6621, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8284, predictive_accuracy: 0.8263, prior_entropy: 0.9995, recall: 0.8263, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6929, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, build_cpu_time: 0.0238, build_memory: 219145586.4, f_measure: 0.8262, kappa: 0.6531, kb_relative_information_score: 222.6621, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8284, predictive_accuracy: 0.8263, prior_entropy: 0.9995, recall: 0.8263, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6929, scimark_benchmark: 919.5971,

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