Task
Supervised Classification on pwLinear

Supervised Classification on pwLinear

Task 3587 Supervised Classification pwLinear 543 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8344, kappa: 0.6688, kb_relative_information_score: 102.9452, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8373, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6799, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8147, kappa: 0.6291, kb_relative_information_score: 114.2479, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8155, predictive_accuracy: 0.815, prior_entropy: 0.9994, recall: 0.815, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6968, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8344, kappa: 0.6688, kb_relative_information_score: 114.9092, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8373, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6597, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.87, kappa: 0.7398, kb_relative_information_score: 147.9312, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.815, kappa: 0.6296, kb_relative_information_score: 125.9032, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.815, predictive_accuracy: 0.815, prior_entropy: 0.9994, recall: 0.815, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8606, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8299, kappa: 0.6595, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.835, kappa: 0.6696, kb_relative_information_score: 104.3255, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.835, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7335, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8141, kappa: 0.6284, kb_relative_information_score: 101.7022, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8183, predictive_accuracy: 0.815, prior_entropy: 0.9994, recall: 0.815, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7711, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 119.3855, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7216, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8349, kappa: 0.6694, kb_relative_information_score: 122.7721, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8352, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6907, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.885, kappa: 0.7697, kb_relative_information_score: 153.9388, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.885, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3501, kb_relative_information_score: 5.7503, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.835, kappa: 0.6702, kb_relative_information_score: 110.1149, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8361, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7222, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8699, kappa: 0.7396, kb_relative_information_score: 138.4069, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6765, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.82, kappa: 0.6399, kb_relative_information_score: 119.5325, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9994, recall: 0.82, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6887, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.885, kappa: 0.7699, kb_relative_information_score: 123.3177, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8851, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.5987, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8149, kappa: 0.6293, kb_relative_information_score: 118.7042, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8151, predictive_accuracy: 0.815, prior_entropy: 0.9994, recall: 0.815, relative_absolute_error: 0.4236, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6949, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8396, kappa: 0.6789, kb_relative_information_score: 138.3614, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8418, predictive_accuracy: 0.84, prior_entropy: 0.9994, recall: 0.84, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7098, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7097, kappa: 0.4188, kb_relative_information_score: 40.4923, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.71, predictive_accuracy: 0.71, prior_entropy: 0.9994, recall: 0.71, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9018, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.6897, kappa: 0.3787, kb_relative_information_score: 49.0096, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6899, predictive_accuracy: 0.69, prior_entropy: 0.9994, recall: 0.69, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8743, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.479, f_measure: 0.3501, kb_relative_information_score: -0.0687, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0002, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8648, kappa: 0.7294, kb_relative_information_score: 145.9287, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8657, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7352, usercpu_time_millis: 369.744, usercpu_time_millis_testing: 6.522, usercpu_time_millis_training: 363.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8549, kappa: 0.7095, kb_relative_information_score: 141.9236, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8552, predictive_accuracy: 0.855, prior_entropy: 0.9994, recall: 0.855, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7619, usercpu_time_millis: 17.477, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 17.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8346, kappa: 0.669, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8363, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, usercpu_time_millis: 0.475, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8748, kappa: 0.7494, kb_relative_information_score: 149.9338, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8758, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7074, usercpu_time_millis: 0.256, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8448, kappa: 0.6893, kb_relative_information_score: 137.9185, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8456, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7878, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8543, kappa: 0.7088, kb_relative_information_score: 141.9236, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8589, predictive_accuracy: 0.855, prior_entropy: 0.9994, recall: 0.855, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7619, usercpu_time_millis: 0.29, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.3721, kappa: 0.0212, kb_relative_information_score: 9.7554, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.7529, predictive_accuracy: 0.525, prior_entropy: 0.9994, recall: 0.525, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.379, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.865, kappa: 0.73, kb_relative_information_score: 145.9287, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8655, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7352, usercpu_time_millis: 4.5, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 3.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8548, kappa: 0.7093, kb_relative_information_score: 141.9236, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8557, predictive_accuracy: 0.855, prior_entropy: 0.9994, recall: 0.855, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7619, usercpu_time_millis: 15.772, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 15.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.855, kappa: 0.7097, kb_relative_information_score: 141.9236, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.855, predictive_accuracy: 0.855, prior_entropy: 0.9994, recall: 0.855, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7619, usercpu_time_millis: 0.111, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.865, kappa: 0.7297, kb_relative_information_score: 145.9287, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7352, usercpu_time_millis: 50.243, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 50.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.9, kappa: 0.7998, kb_relative_information_score: 159.9465, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6327, usercpu_time_millis: 8.578, usercpu_time_millis_testing: 2.014, usercpu_time_millis_training: 6.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9, kappa: 0.7999, kb_relative_information_score: 159.9465, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 0.9994, recall: 0.9, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6327, usercpu_time_millis: 2.574, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 2.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.895, kappa: 0.7899, kb_relative_information_score: 157.9439, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8951, predictive_accuracy: 0.895, prior_entropy: 0.9994, recall: 0.895, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6484, usercpu_time_millis: 1.778, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.82, kappa: 0.6397, kb_relative_information_score: 127.9057, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9994, recall: 0.82, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8489, usercpu_time_millis: 22.817, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 22.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.85, kappa: 0.6997, kb_relative_information_score: 139.921, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7749, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8748, kappa: 0.7494, kb_relative_information_score: 149.9338, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8758, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7074, usercpu_time_millis: 0.107, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.079,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 131.9108, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.825, usercpu_time_millis: 0.968, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.944,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, f_measure: 0.4793, kappa: 0.118, kb_relative_information_score: 27.7783, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.6808, predictive_accuracy: 0.57, prior_entropy: 0.9994, recall: 0.57, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3121, usercpu_time_millis: 0.104, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.835, kappa: 0.6702, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8361, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, usercpu_time_millis: 0.282, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8349, kappa: 0.6694, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8352, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, usercpu_time_millis: 0.343, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 0.141,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.85, kappa: 0.6997, kb_relative_information_score: 139.921, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7749, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.85, kappa: 0.6999, kb_relative_information_score: 139.921, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8502, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7749, usercpu_time_millis: 1.05, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.976,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 137.9185, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8455, predictive_accuracy: 0.845, prior_entropy: 0.9994, recall: 0.845, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7878, usercpu_time_millis: 0.169, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.8499, kappa: 0.6995, kb_relative_information_score: 139.921, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8501, predictive_accuracy: 0.85, prior_entropy: 0.9994, recall: 0.85, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7749, usercpu_time_millis: 0.044, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.031,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.835, kappa: 0.6698, kb_relative_information_score: 133.9134, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8351, predictive_accuracy: 0.835, prior_entropy: 0.9994, recall: 0.835, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8128, usercpu_time_millis: 2.307, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 1.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8699, kappa: 0.7396, kb_relative_information_score: 147.9312, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7214, usercpu_time_millis: 2.532, usercpu_time_millis_testing: 0.956, usercpu_time_millis_training: 1.576,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8699, kappa: 0.7404, kb_relative_information_score: 147.9312, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8727, predictive_accuracy: 0.87, prior_entropy: 0.9994, recall: 0.87, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7214, usercpu_time_millis: 1.094, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.943,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.885, kappa: 0.7699, kb_relative_information_score: 153.9388, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8851, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6785, usercpu_time_millis: 14.012, usercpu_time_millis_testing: 2.381, usercpu_time_millis_training: 11.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.81, kappa: 0.6201, kb_relative_information_score: 95.5646, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9994, recall: 0.81, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7634, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8749, kappa: 0.7495, kb_relative_information_score: 114.5223, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8752, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.4654, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6202, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.885, kappa: 0.7697, kb_relative_information_score: 130.4293, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.885, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6091, scimark_benchmark: 851.2074, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8599, kappa: 0.7194, kb_relative_information_score: 143.9261, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9994, recall: 0.86, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7487, scimark_benchmark: 904.6764, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8599, kappa: 0.7194, kb_relative_information_score: 143.9261, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9994, recall: 0.86, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7487, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 104.0818, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7036, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.865, kappa: 0.7297, kb_relative_information_score: 124.9567, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6201, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.865, kappa: 0.7297, kb_relative_information_score: 131.3052, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5944, scimark_benchmark: 943.8235, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 104.0818, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7036, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.82, kappa: 0.6399, kb_relative_information_score: 102.7557, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9994, recall: 0.82, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7507, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8599, kappa: 0.7194, kb_relative_information_score: 143.9261, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9994, recall: 0.86, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7487, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 103.0868, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7052, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.865, kappa: 0.7297, kb_relative_information_score: 131.3052, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5944, scimark_benchmark: 944.1783, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.82, kappa: 0.6399, kb_relative_information_score: 102.7557, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9994, recall: 0.82, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7507, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.885, kappa: 0.7699, kb_relative_information_score: 123.3177, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8851, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.5987, scimark_benchmark: 947.1781, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.81, kappa: 0.6201, kb_relative_information_score: 95.5646, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9994, recall: 0.81, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7634, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8749, kappa: 0.7495, kb_relative_information_score: 114.5223, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8752, predictive_accuracy: 0.875, prior_entropy: 0.9994, recall: 0.875, relative_absolute_error: 0.4654, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6202, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.885, kappa: 0.7697, kb_relative_information_score: 130.4293, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.885, predictive_accuracy: 0.885, prior_entropy: 0.9994, recall: 0.885, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6091, scimark_benchmark: 944.0133, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8599, kappa: 0.7194, kb_relative_information_score: 143.9261, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9994, recall: 0.86, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7487, scimark_benchmark: 934.5964, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 104.0818, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7036, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 104.0818, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7036, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 104.0818, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7036, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.865, kappa: 0.7297, kb_relative_information_score: 124.9567, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6201, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.865, kappa: 0.7297, kb_relative_information_score: 131.3052, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9994, recall: 0.865, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5944, scimark_benchmark: 903.2737, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8298, kappa: 0.6593, kb_relative_information_score: 104.0818, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 0.9994, recall: 0.83, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7036, scimark_benchmark: 945.6228,

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