Task
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4443 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4443 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, kappa: 0.5, kb_relative_information_score: 2.2731, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9, kappa: 0.85, kb_relative_information_score: 121.2139, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 131.3808, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 131.9654, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.144, root_relative_squared_error: 0.3054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.3919, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3322, scimark_benchmark: 937.5117, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4049, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0882, kb_relative_information_score: -0.3114, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 130.331, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3943, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3781, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8056, kappa: 0.72, kb_relative_information_score: 85.2928, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8413, predictive_accuracy: 0.8133, prior_entropy: 1.585, recall: 0.8133, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 145.8928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 145.8928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.0842, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.325, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 138.0315, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3386, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 143.0152, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2821, scimark_benchmark: 1254.1389, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.6654, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1287, kb_relative_information_score: 1.823, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 136.0958, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3481, scimark_benchmark: 1678.9171, usercpu_time_millis: 227.966, usercpu_time_millis_testing: 2.368, usercpu_time_millis_training: 225.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.677, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.7904, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.136, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.498, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.7212, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.758, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.0374, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1519.6032, usercpu_time_millis: 1.855, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.3628, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.3064, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.1974, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.2327, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.6654, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4378, kb_relative_information_score: 0.9202, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.8295, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.6606, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.051, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.7451, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.3946, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.6654, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.6654, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, usercpu_time_millis: 0.77, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, usercpu_time_millis: 0.94, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.7633, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.9555, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3234,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 118.3167, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.9207, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.2955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9337, kappa: 0.9, kb_relative_information_score: 130.0468, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1661, kb_relative_information_score: 1.0158, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0999, kb_relative_information_score: 1.2327, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 127.4837, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8866, kappa: 0.83, kb_relative_information_score: 120.2401, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8875, predictive_accuracy: 0.8867, prior_entropy: 1.585, recall: 0.8867, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 124.1916, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.427,

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

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

OpenML APIs