Task
Supervised Classification on squash-stored

Supervised Classification on squash-stored

Task 3835 Supervised Classification squash-stored 492 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.7505, kappa: 0.4955, kb_relative_information_score: 19.8727, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7515, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9043, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7316, kappa: 0.4639, kb_relative_information_score: 21.0926, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.741, predictive_accuracy: 0.7308, prior_entropy: 0.9911, recall: 0.7308, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.857, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 17.1875, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8128, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7699, kappa: 0.5364, kb_relative_information_score: 26.6879, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7729, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.948, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.8452, kappa: 0.6853, kb_relative_information_score: 34.5896, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8469, predictive_accuracy: 0.8462, prior_entropy: 0.9911, recall: 0.8462, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7745, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7316, kappa: 0.4639, kb_relative_information_score: 24.4715, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.741, predictive_accuracy: 0.7308, prior_entropy: 0.9911, recall: 0.7308, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9102, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7892, kappa: 0.5769, kb_relative_information_score: 29.9127, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7885, prior_entropy: 0.9911, recall: 0.7885, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8894, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4378, f_measure: 0.3993, kb_relative_information_score: -0.1445, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.002, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.7879, kappa: 0.5693, kb_relative_information_score: 24.3789, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7879, predictive_accuracy: 0.7885, prior_entropy: 0.9911, recall: 0.7885, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.84, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7889, kappa: 0.5731, kb_relative_information_score: 22.9506, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7898, predictive_accuracy: 0.7885, prior_entropy: 0.9911, recall: 0.7885, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8363, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.6722, kappa: 0.3343, kb_relative_information_score: 19.2995, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.6719, predictive_accuracy: 0.6731, prior_entropy: 0.9911, recall: 0.6731, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9805, scimark_benchmark: 851.2074, 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: 5.1338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 52, 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: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 5.1338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 52, 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: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 26.5887, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8747, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 26.5887, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8747, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 26.5887, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8747, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.5585, kappa: 0.1075, kb_relative_information_score: 2.667, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.5598, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0376, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 26.5887, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8747, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8065, kappa: 0.6067, kb_relative_information_score: 30.0859, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8078, predictive_accuracy: 0.8077, prior_entropy: 0.9911, recall: 0.8077, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7964, scimark_benchmark: 927.2917, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 5.1338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 52, 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: 0.8246, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 26.5887, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8747, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 26.5887, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8747, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8065, kappa: 0.6067, kb_relative_information_score: 30.0859, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8078, predictive_accuracy: 0.8077, prior_entropy: 0.9911, recall: 0.8077, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7964, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 17.1875, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8128, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.7879, kappa: 0.5693, kb_relative_information_score: 24.3789, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7879, predictive_accuracy: 0.7885, prior_entropy: 0.9911, recall: 0.7885, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.84, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7699, kappa: 0.5364, kb_relative_information_score: 22.8439, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7729, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8397, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.6722, kappa: 0.3343, kb_relative_information_score: 19.2995, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.6719, predictive_accuracy: 0.6731, prior_entropy: 0.9911, recall: 0.6731, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9805, scimark_benchmark: 819.5729, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 5.1338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 52, 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: 0.8246, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 26.5887, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8747, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 26.5887, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8747, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 26.5887, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8747, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.5585, kappa: 0.1075, kb_relative_information_score: 2.667, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.5598, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0376, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7508, kappa: 0.5, kb_relative_information_score: 20.1944, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7567, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8295, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 26.5887, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8747, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 17.1875, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8128, scimark_benchmark: 917.5013, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7892, kappa: 0.5769, kb_relative_information_score: 22.0802, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7885, prior_entropy: 0.9911, recall: 0.7885, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7602, scimark_benchmark: 901.6243, usercpu_time_millis: 950, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8083, kappa: 0.6171, kb_relative_information_score: 23.0577, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8184, predictive_accuracy: 0.8077, prior_entropy: 0.9911, recall: 0.8077, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7448, scimark_benchmark: 935.5664, usercpu_time_millis: 490, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8275, kappa: 0.6538, kb_relative_information_score: 22.3462, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8336, predictive_accuracy: 0.8269, prior_entropy: 0.9911, recall: 0.8269, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7494, scimark_benchmark: 930.2337, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.5585, kappa: 0.1075, kb_relative_information_score: 2.667, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.5598, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0376, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7699, kappa: 0.5364, kb_relative_information_score: 27.5778, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7729, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9356, scimark_benchmark: 1310.6554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8065, kappa: 0.6067, kb_relative_information_score: 30.0859, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8078, predictive_accuracy: 0.8077, prior_entropy: 0.9911, recall: 0.8077, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7964, scimark_benchmark: 1317.2327, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 17.1875, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8128, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.7879, kappa: 0.5693, kb_relative_information_score: 24.3789, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7879, predictive_accuracy: 0.7885, prior_entropy: 0.9911, recall: 0.7885, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.84, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 5.1338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 52, 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: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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