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: 0.575, 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: 1299.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1313.5633, 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: 1292.1745,
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: 1332.9478,
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: 1341.5795, 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: 1347.993,
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: 938.0414,
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: 1326.8946, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1260.1387,
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: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 938.0414,
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: 1325.5735,
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: 1317.2327, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1342.2845,
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: 1337.3324,
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: 1313.11,
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: 1337.3324,
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: 1335.2357,
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: 1321.8321,
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: 1306.9281,
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: 1330.3848, 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: 944.4621,
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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: 1360.6367,
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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: 1342.8584,
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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: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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: 1353.0836, 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: 0.7766, f_measure: 0.7699, kappa: 0.5364, kb_relative_information_score: 16.9605, mean_absolute_error: 0.3436, 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: 0.6962, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.432, root_relative_squared_error: 0.8699, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7505, kappa: 0.5044, kb_relative_information_score: 26.6305, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7649, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.445, root_relative_squared_error: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4093, f_measure: 0.3985, kappa: -0.1028, kb_relative_information_score: -2.777, mean_absolute_error: 0.5168, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.3851, predictive_accuracy: 0.5, prior_entropy: 0.9911, recall: 0.5, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.0959, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7316, kappa: 0.4639, kb_relative_information_score: 23.875, mean_absolute_error: 0.264, 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: 0.5349, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.923, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7508, kappa: 0.5, kb_relative_information_score: 25.3031, mean_absolute_error: 0.2527, 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: 0.5119, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.6722, kappa: 0.3343, kb_relative_information_score: 10.6498, mean_absolute_error: 0.4084, 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: 0.8273, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8695,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7505, kappa: 0.4955, kb_relative_information_score: 16.9645, mean_absolute_error: 0.3455, 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: 0.6999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8083, kappa: 0.6137, kb_relative_information_score: 30.184, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8112, predictive_accuracy: 0.8077, prior_entropy: 0.9911, recall: 0.8077, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7862,
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: 0.5, 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: 0.7789, f_measure: 0.7699, kappa: 0.5364, kb_relative_information_score: 20.6669, mean_absolute_error: 0.3123, 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: 0.6326, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7508, kappa: 0.5, kb_relative_information_score: 21.4444, mean_absolute_error: 0.2998, 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: 0.6074, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8927, scimark_benchmark: 960.9878, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7508, kappa: 0.5, kb_relative_information_score: 21.4444, mean_absolute_error: 0.2998, 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: 0.6074, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8927, scimark_benchmark: 960.0657, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7086, kappa: 0.438, kb_relative_information_score: 21.0859, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7505, predictive_accuracy: 0.7115, prior_entropy: 0.9911, recall: 0.7115, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9401, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7699, kappa: 0.5405, kb_relative_information_score: 25.2876, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7797, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.6932, kappa: 0.3873, kb_relative_information_score: 15.932, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7023, predictive_accuracy: 0.6923, prior_entropy: 0.9911, recall: 0.6923, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8813, scimark_benchmark: 1447.2612,

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

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From your own software

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

OpenML APIs