OpenML
Supervised Classification on mfeat-pixel

Supervised Classification on mfeat-pixel

Task 20 Supervised Classification mfeat-pixel 12158 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 under100k under1m
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12158 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 1898.331, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.2212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1899.2066, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 1914.7789, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1919.053, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.1941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.8676, kappa: 0.8483, kb_relative_information_score: 1106.2925, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8822, predictive_accuracy: 0.8635, prior_entropy: 3.3219, recall: 0.8635, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.6562, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1918.0974, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.059, root_relative_squared_error: 0.1968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, kb_relative_information_score: 10.4987, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 1903.1423, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.666, kappa: 0.6267, kb_relative_information_score: 1184.4048, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6755, predictive_accuracy: 0.664, prior_entropy: 3.3219, recall: 0.664, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.7318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 1906.1951, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.3898, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.0317, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, kappa: 0.0006, kb_relative_information_score: 2.0778, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.2725, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 1899.9979, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.2193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kappa: 0.0022, kb_relative_information_score: 4.7499, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.102, prior_entropy: 3.3219, recall: 0.102, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.486, kb_relative_information_score: 4.5135, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.5133, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1915.0217, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 1900.364, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.2181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 1918.948, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 3.3219, recall: 0.9815, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.1931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 1916.3169, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 1898.9975, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 1918.168, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 1900.0932, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 1892.7516, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.069, root_relative_squared_error: 0.2299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 1892.2212, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9742, predictive_accuracy: 0.974, prior_entropy: 3.3219, recall: 0.974, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.2303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 1895.2004, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 1904.3535, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 1879.9856, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.2487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 1891.8018, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, kb_relative_information_score: 6.1509, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 1917.8205, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1914.7675, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kappa: -0.0011, kb_relative_information_score: 7.783, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.099, prior_entropy: 3.3219, recall: 0.099, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, kappa: -0.0011, kb_relative_information_score: 25.5391, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.099, prior_entropy: 3.3219, recall: 0.099, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.7737, kappa: 0.7467, kb_relative_information_score: 1399.4097, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7784, predictive_accuracy: 0.772, prior_entropy: 3.3219, recall: 0.772, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 1853.7506, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9568, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.2839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, kappa: 0.0006, kb_relative_information_score: 1.9647, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kappa: 0.0006, kb_relative_information_score: -0.0169, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1919.3365, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.1942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, kappa: 0.0017, kb_relative_information_score: 2.3595, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1015, prior_entropy: 3.3219, recall: 0.1015, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.5176, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9287, kappa: 0.9206, kb_relative_information_score: 1695.6059, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9298, predictive_accuracy: 0.9285, prior_entropy: 3.3219, recall: 0.9285, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.4279, kappa: 0.415, kb_relative_information_score: 70.7839, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.741, predictive_accuracy: 0.4735, prior_entropy: 3.3219, recall: 0.4735, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1917.7421, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9701, kappa: 0.9667, kb_relative_information_score: 1891.5415, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9705, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.2436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.3949, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9025, kappa: 0.8917, kb_relative_information_score: 1747.7232, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.903, predictive_accuracy: 0.9025, prior_entropy: 3.3219, recall: 0.9025, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.402,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.5135, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 12.3898, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1915.9895, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.1979,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 1898.3134, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.2207,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9089, kappa: 0.8989, kb_relative_information_score: 1816.5585, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9094, predictive_accuracy: 0.909, prior_entropy: 3.3219, recall: 0.909, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.3978, scimark_benchmark: 1544.7821, usercpu_time_millis: 28503160, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 28502670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9151, kappa: 0.9056, kb_relative_information_score: 1786.1706, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.916, predictive_accuracy: 0.915, prior_entropy: 3.3219, recall: 0.915, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.372, scimark_benchmark: 1478.9809, usercpu_time_millis: 2210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1915.5469, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, kappa: 0.0772, kb_relative_information_score: 18.2437, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1695, prior_entropy: 3.3219, recall: 0.1695, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, kappa: 0.0011, kb_relative_information_score: 2.8062, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.101, prior_entropy: 3.3219, recall: 0.101, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.6401, kappa: 0.6017, kb_relative_information_score: 1001.3827, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6464, predictive_accuracy: 0.6415, prior_entropy: 3.3219, recall: 0.6415, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.7929,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.485, kappa: 0.0006, kb_relative_information_score: 2.0994, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, kb_relative_information_score: 7.2709, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4326, kb_relative_information_score: 10.3402, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, kb_relative_information_score: 1.6704, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kappa: 0.0006, kb_relative_information_score: 2.5268, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9476, kappa: 0.9417, kb_relative_information_score: 1840.6249, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9478, predictive_accuracy: 0.9475, prior_entropy: 3.3219, recall: 0.9475, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.3029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 1906.4994, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2106,

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