Task
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: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1960.2612, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.093, kappa: 0.0461, kb_relative_information_score: 204.4344, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.1415, prior_entropy: 3.3219, recall: 0.1415, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1950.8494, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8465, kappa: 0.8289, kb_relative_information_score: 1677.9067, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8495, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9656, kappa: 0.9617, kb_relative_information_score: 1927.8427, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9661, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.2769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1960.2612, mean_absolute_error: 0.0038, 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: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1951.8952, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 1947.7121, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9754, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1960.2612, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.92, kappa: 0.9106, kb_relative_information_score: 1831.633, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9233, predictive_accuracy: 0.9195, prior_entropy: 3.3219, recall: 0.9195, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 1957.1239, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 1948.7579, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9758, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 1955.0324, mean_absolute_error: 0.0043, 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: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9239, kappa: 0.915, kb_relative_information_score: 1839.9991, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9301, predictive_accuracy: 0.9235, prior_entropy: 3.3219, recall: 0.9235, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1960.2612, mean_absolute_error: 0.0038, 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: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1958.1697, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5394, f_measure: 0.1328, kappa: 0.0789, kb_relative_information_score: 266.1341, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9108, predictive_accuracy: 0.171, prior_entropy: 3.3219, recall: 0.171, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.3573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1960.2612, mean_absolute_error: 0.0038, 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: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1951.8952, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1951.8952, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9466, kappa: 0.9406, kb_relative_information_score: 1888.1039, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9471, predictive_accuracy: 0.9465, prior_entropy: 3.3219, recall: 0.9465, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.3448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1951.8952, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 117.6365, 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: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7658, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7731, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.0959, kappa: 0.0483, kb_relative_information_score: 208.6174, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9105, predictive_accuracy: 0.1435, prior_entropy: 3.3219, recall: 0.1435, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4139, root_relative_squared_error: 1.3796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.064, kappa: 0.0317, kb_relative_information_score: 177.2447, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.1285, prior_entropy: 3.3219, recall: 0.1285, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.3916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.445, kappa: -0.11, kb_relative_information_score: -89.4235, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.001, prior_entropy: 3.3219, recall: 0.001, relative_absolute_error: 1.11, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.447, root_relative_squared_error: 1.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 1957.1239, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9797, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.3246, kappa: 0.2822, kb_relative_information_score: 648.8813, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7522, predictive_accuracy: 0.354, prior_entropy: 3.3219, recall: 0.354, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3594, root_relative_squared_error: 1.1981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1958.1697, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9576, kappa: 0.9528, kb_relative_information_score: 1911.1106, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9582, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.2333, kappa: 0.1517, kb_relative_information_score: 403.1283, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8999, predictive_accuracy: 0.2365, prior_entropy: 3.3219, recall: 0.2365, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3908, root_relative_squared_error: 1.3026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9168, kappa: 0.9078, kb_relative_information_score: 1826.4043, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9188, predictive_accuracy: 0.917, prior_entropy: 3.3219, recall: 0.917, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.4295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8672, kappa: 0.8267, kb_relative_information_score: 1673.7237, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9293, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1958.1697, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.1036, kappa: 0.07, kb_relative_information_score: 249.402, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2418, predictive_accuracy: 0.163, prior_entropy: 3.3219, recall: 0.163, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4091, root_relative_squared_error: 1.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1960.2612, mean_absolute_error: 0.0038, 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: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, kappa: -0.1111, kb_relative_information_score: -91.515, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.18, number_of_instances: 2000, prior_entropy: 3.3219, relative_absolute_error: 1.1111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.4907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 1953.9867, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.1218, kappa: 0.0706, kb_relative_information_score: 250.4477, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9107, predictive_accuracy: 0.1635, prior_entropy: 3.3219, recall: 0.1635, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.409, root_relative_squared_error: 1.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9128, kappa: 0.9033, kb_relative_information_score: 1818.0382, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9154, predictive_accuracy: 0.913, prior_entropy: 3.3219, recall: 0.913, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9133, kappa: 0.9039, kb_relative_information_score: 1819.084, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9159, predictive_accuracy: 0.9135, prior_entropy: 3.3219, recall: 0.9135, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9708, kappa: 0.9672, kb_relative_information_score: 1938.3003, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9723, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 1948.7579, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9758, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, kappa: -0.1111, kb_relative_information_score: -91.515, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.18, number_of_instances: 2000, prior_entropy: 3.3219, relative_absolute_error: 1.1111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.4907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 1955.0324, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9788, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.939, kappa: 0.9322, kb_relative_information_score: 1872.4176, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9398, predictive_accuracy: 0.939, prior_entropy: 3.3219, recall: 0.939, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3682,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1950.8494, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9768, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.2453, kappa: 0.2728, kb_relative_information_score: 631.1034, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6203, predictive_accuracy: 0.3455, prior_entropy: 3.3219, recall: 0.3455, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3618, root_relative_squared_error: 1.206,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 1959.2155, mean_absolute_error: 0.0039, 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: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1951.8952, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9636, kappa: 0.9594, kb_relative_information_score: 1923.6597, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.964, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9183, kappa: 0.9094, kb_relative_information_score: 1829.5415, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9206, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.4256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1951.8952, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1950.8494, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9768, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 1959.2155, mean_absolute_error: 0.0039, 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: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 1953.9867, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8087, kappa: 0.7867, kb_relative_information_score: 1598.4291, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8115, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1960.2612, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.0797, kappa: 0.0361, kb_relative_information_score: 185.6108, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1325, prior_entropy: 3.3219, recall: 0.1325, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4165, root_relative_squared_error: 1.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9179, kappa: 0.9089, kb_relative_information_score: 1828.4958, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9198, predictive_accuracy: 0.918, prior_entropy: 3.3219, recall: 0.918, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.4269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1951.8952, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 117.6365, 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: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 1957.1239, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9731, kappa: 0.97, kb_relative_information_score: 1943.5291, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9736, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.2449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 1959.2155, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 1957.1239, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5814, f_measure: 0.1533, kappa: 0.1628, kb_relative_information_score: 424.0435, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6288, predictive_accuracy: 0.2465, prior_entropy: 3.3219, recall: 0.2465, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3882, root_relative_squared_error: 1.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1951.8952, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.3246, kappa: 0.2822, kb_relative_information_score: 648.8813, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7522, predictive_accuracy: 0.354, prior_entropy: 3.3219, recall: 0.354, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3594, root_relative_squared_error: 1.1981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9163, kappa: 0.9072, kb_relative_information_score: 1825.3585, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9183, predictive_accuracy: 0.9165, prior_entropy: 3.3219, recall: 0.9165, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 1953.9867, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1960.2612, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.5417, kappa: 0.4944, kb_relative_information_score: 1048.3607, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5482, predictive_accuracy: 0.545, prior_entropy: 3.3219, recall: 0.545, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.555, f_measure: 0.1648, kappa: 0.11, kb_relative_information_score: 324.6965, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2239, predictive_accuracy: 0.199, prior_entropy: 3.3219, recall: 0.199, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4002, root_relative_squared_error: 1.3342,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9795, kappa: 0.9772, kb_relative_information_score: 1957.1239, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.908, kappa: 0.8883, kb_relative_information_score: 1789.8027, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9345, predictive_accuracy: 0.8995, prior_entropy: 3.3219, recall: 0.8995, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1960.2612, mean_absolute_error: 0.0038, 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: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1951.8952, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.139, kappa: 0.1528, kb_relative_information_score: 405.2198, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7052, predictive_accuracy: 0.2375, prior_entropy: 3.3219, recall: 0.2375, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3905, root_relative_squared_error: 1.3017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.5865, kappa: 0.5444, kb_relative_information_score: 1142.4789, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6039, predictive_accuracy: 0.59, prior_entropy: 3.3219, recall: 0.59, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.445, kappa: -0.11, kb_relative_information_score: -89.4235, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.001, prior_entropy: 3.3219, recall: 0.001, relative_absolute_error: 1.11, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.447, root_relative_squared_error: 1.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9716, kappa: 0.9683, kb_relative_information_score: 1940.3918, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9721, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 1952.9409, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 1953.9867, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.042, kappa: 0.0133, kb_relative_information_score: 142.7347, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9101, predictive_accuracy: 0.112, prior_entropy: 3.3219, recall: 0.112, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 117.6365, 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: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.139, kappa: 0.1528, kb_relative_information_score: 405.2198, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7052, predictive_accuracy: 0.2375, prior_entropy: 3.3219, recall: 0.2375, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3905, root_relative_squared_error: 1.3017,

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