Task
Supervised Classification on baskball

Supervised Classification on baskball

Task 3597 Supervised Classification baskball 501 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6974, kappa: 0.3948, kb_relative_information_score: 26.8992, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6983, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.892, scimark_benchmark: 1328.1545, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.6726, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9057, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.6119, kappa: 0.2265, kb_relative_information_score: 21.9543, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6159, predictive_accuracy: 0.6146, prior_entropy: 0.9997, recall: 0.6146, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6208, root_relative_squared_error: 1.2419, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.75, kappa: 0.4998, kb_relative_information_score: 29.4593, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8743, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 27.9479, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9172, scimark_benchmark: 1318.6096, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6974, kappa: 0.3948, kb_relative_information_score: 26.8992, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6983, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.892, scimark_benchmark: 1325.6322, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 1336.4701,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 1347.993,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 26.1766, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9074, scimark_benchmark: 1306.9281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4681, f_measure: 0.345, kb_relative_information_score: -0.059, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.2605, predictive_accuracy: 0.5104, prior_entropy: 0.9997, recall: 0.5104, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.7187, kappa: 0.438, kb_relative_information_score: 27.1188, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.72, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.75, kappa: 0.4998, kb_relative_information_score: 47.9699, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7187, kappa: 0.437, kb_relative_information_score: 27.849, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7187, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.6348, kappa: 0.2696, kb_relative_information_score: 17.2609, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6355, predictive_accuracy: 0.6354, prior_entropy: 0.9997, recall: 0.6354, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 30.7156, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4681, f_measure: 0.345, kb_relative_information_score: -0.059, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.2605, predictive_accuracy: 0.5104, prior_entropy: 0.9997, recall: 0.5104, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.6979, kappa: 0.3958, kb_relative_information_score: 15.0753, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6981, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7083, kappa: 0.4169, kb_relative_information_score: 30.4385, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7089, predictive_accuracy: 0.7083, prior_entropy: 0.9997, recall: 0.7083, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7604, kappa: 0.5208, kb_relative_information_score: 49.9711, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7606, predictive_accuracy: 0.7604, prior_entropy: 0.9997, recall: 0.7604, relative_absolute_error: 0.4794, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9792, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.7187, kappa: 0.438, kb_relative_information_score: 27.1188, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.72, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7187, kappa: 0.437, kb_relative_information_score: 27.5476, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7187, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.75, kappa: 0.4998, kb_relative_information_score: 27.652, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.891, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7187, kappa: 0.437, kb_relative_information_score: 27.2111, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7187, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9104, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 30.7156, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9116, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7392, kappa: 0.4783, kb_relative_information_score: 30.8914, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7402, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.7068, kappa: 0.4149, kb_relative_information_score: 39.9651, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7109, predictive_accuracy: 0.7083, prior_entropy: 0.9997, recall: 0.7083, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.0804, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7285, kappa: 0.4572, kb_relative_information_score: 27.0012, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7303, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9126, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6974, kappa: 0.3948, kb_relative_information_score: 26.8992, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6983, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.892, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 29.0676, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8792, scimark_benchmark: 927.2917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.7352, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.75, kappa: 0.4998, kb_relative_information_score: 47.9699, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.7292, kappa: 0.4586, kb_relative_information_score: 43.9675, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7298, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.0411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 32.2857, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7187, kappa: 0.437, kb_relative_information_score: 27.2111, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7187, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 34.4365, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9667, scimark_benchmark: 851.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.75, kappa: 0.4998, kb_relative_information_score: 29.4593, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8743, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 27.6557, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7188, kappa: 0.4375, kb_relative_information_score: 29.9803, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.719, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9133, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7392, kappa: 0.4783, kb_relative_information_score: 30.8914, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7402, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9309, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.6946, kappa: 0.3984, kb_relative_information_score: 27.2895, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7103, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8868, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.6978, kappa: 0.3964, kb_relative_information_score: 30.1447, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6991, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.6563, kappa: 0.3125, kb_relative_information_score: 28.2181, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6565, predictive_accuracy: 0.6563, prior_entropy: 0.9997, recall: 0.6563, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7187, kappa: 0.438, kb_relative_information_score: 29.3638, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.72, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.6875, kappa: 0.3747, kb_relative_information_score: 39.3513, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6875, predictive_accuracy: 0.6875, prior_entropy: 0.9997, recall: 0.6875, relative_absolute_error: 0.5898, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7396, kappa: 0.4792, kb_relative_information_score: 27.6557, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7398, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7289, kappa: 0.4576, kb_relative_information_score: 32.7144, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7293, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.7278, kappa: 0.46, kb_relative_information_score: 25.6726, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7366, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9057, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.6119, kappa: 0.2265, kb_relative_information_score: 21.9543, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6159, predictive_accuracy: 0.6146, prior_entropy: 0.9997, recall: 0.6146, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6208, root_relative_squared_error: 1.2419, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7083, kappa: 0.4169, kb_relative_information_score: 26.5999, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7089, predictive_accuracy: 0.7083, prior_entropy: 0.9997, recall: 0.7083, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.7292, kappa: 0.4581, kb_relative_information_score: 27.1813, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7292, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9184, scimark_benchmark: 1118.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.75, kappa: 0.4998, kb_relative_information_score: 47.9699, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9997, recall: 0.75, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.6353, kappa: 0.2702, kb_relative_information_score: 17.4989, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6353, predictive_accuracy: 0.6354, prior_entropy: 0.9997, recall: 0.6354, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7395, kappa: 0.4787, kb_relative_information_score: 32.098, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7396, predictive_accuracy: 0.7396, prior_entropy: 0.9997, recall: 0.7396, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8716, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.7292, kappa: 0.4586, kb_relative_information_score: 43.9675, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7298, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.0411, scimark_benchmark: 922.9523, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7177, kappa: 0.436, kb_relative_information_score: 28.6952, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7205, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.897, scimark_benchmark: 1048.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 30.7156, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9116, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7292, kappa: 0.4586, kb_relative_information_score: 24.5833, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7298, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8932, scimark_benchmark: 936.9595, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 29.0676, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8792, scimark_benchmark: 934.695, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.345, kb_relative_information_score: 1.9423, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.2605, predictive_accuracy: 0.5104, prior_entropy: 0.9997, recall: 0.5104, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6997, root_relative_squared_error: 1.3997, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7289, kappa: 0.4576, kb_relative_information_score: 44.1569, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7293, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9409, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.7187, kappa: 0.438, kb_relative_information_score: 27.1188, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.72, predictive_accuracy: 0.7188, prior_entropy: 0.9997, recall: 0.7188, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9619, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7289, kappa: 0.459, kb_relative_information_score: 24.0867, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7312, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8928, scimark_benchmark: 938.988, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7603, kappa: 0.5212, kb_relative_information_score: 25.8363, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7617, predictive_accuracy: 0.7604, prior_entropy: 0.9997, recall: 0.7604, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8919, scimark_benchmark: 945.2015, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6848, kappa: 0.3725, kb_relative_information_score: 27.8992, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6918, predictive_accuracy: 0.6875, prior_entropy: 0.9997, recall: 0.6875, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9393, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7292, kappa: 0.4586, kb_relative_information_score: 23.7674, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7298, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9014, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.6974, kappa: 0.3969, kb_relative_information_score: 24.0959, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7007, predictive_accuracy: 0.6979, prior_entropy: 0.9997, recall: 0.6979, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8944, scimark_benchmark: 934.6244, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,

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