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: 0.9875, 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: 0.9894, 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: 0.4444, 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: 0.9886, 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: 0.9842, 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: 0.972, 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: 0.4447, f_measure: 0.0006, kappa: -0.1106, kb_relative_information_score: -90.4692, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0008, predictive_accuracy: 0.0005, prior_entropy: 3.3219, recall: 0.0005, relative_absolute_error: 1.1106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9526, kappa: 0.9472, kb_relative_information_score: 1900.653, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.9525, prior_entropy: 3.3219, recall: 0.9525, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3249,
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: 0.9828, f_measure: 0.9691, kappa: 0.9656, kb_relative_information_score: 1935.163, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9696, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2625,
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: 0.6794, f_measure: 0.3961, kappa: 0.3589, kb_relative_information_score: 793.1959, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5042, predictive_accuracy: 0.423, prior_entropy: 3.3219, recall: 0.423, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3397, root_relative_squared_error: 1.1324,
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: 0.9878, 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: 0.9744, f_measure: 0.9558, kappa: 0.9489, kb_relative_information_score: 1903.7903, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9623, predictive_accuracy: 0.954, prior_entropy: 3.3219, recall: 0.954, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3197,
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: 0.9828, f_measure: 0.9691, kappa: 0.9656, kb_relative_information_score: 1935.163, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9696, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9486, kappa: 0.9428, kb_relative_information_score: 1892.287, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9492, predictive_accuracy: 0.9485, prior_entropy: 3.3219, recall: 0.9485, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.3383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.0547, kappa: 0.0206, kb_relative_information_score: 156.3295, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1185, prior_entropy: 3.3219, recall: 0.1185, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4447, kappa: -0.1106, kb_relative_information_score: -90.4692, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0005, prior_entropy: 3.3219, recall: 0.0005, relative_absolute_error: 1.1106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9471, kappa: 0.9411, kb_relative_information_score: 1889.1497, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9479, predictive_accuracy: 0.947, prior_entropy: 3.3219, recall: 0.947, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.103, root_relative_squared_error: 0.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9646, kappa: 0.9606, kb_relative_information_score: 1925.7512, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.965, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
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: 0.9872, 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: 0.9889, 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: 0.9801, 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: 0.9772, f_measure: 0.9592, kappa: 0.9544, kb_relative_information_score: 1914.2479, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9597, predictive_accuracy: 0.959, prior_entropy: 3.3219, recall: 0.959, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3018,
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: 0.9442, f_measure: 0.8998, 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: 0.9013, 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: 0.9812, 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: 0.445, f_measure: 0.0015, kappa: -0.11, kb_relative_information_score: -89.4235, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0055, 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: 0.9878, 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: 0.9661, 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,
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: 0.445, 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: 0.9828, f_measure: 0.9691, kappa: 0.9656, kb_relative_information_score: 1935.163, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9697, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.2457, 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: 0.604, 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: 0.5039, kappa: 0.0078, kb_relative_information_score: 132.2771, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.107, prior_entropy: 3.3219, recall: 0.107, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7578, kappa: 0.7294, kb_relative_information_score: 1490.7161, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7676, predictive_accuracy: 0.7565, prior_entropy: 3.3219, recall: 0.7565, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 1961.307, mean_absolute_error: 0.0037, 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: 0.0206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.2028,
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: 0.9328, f_measure: 0.8925, kappa: 0.8656, kb_relative_information_score: 1746.9267, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9314, predictive_accuracy: 0.879, prior_entropy: 3.3219, recall: 0.879, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.5185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5258, f_measure: 0.0859, kappa: 0.0517, kb_relative_information_score: 214.892, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7729, predictive_accuracy: 0.1465, prior_entropy: 3.3219, recall: 0.1465, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4132, root_relative_squared_error: 1.3772,
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: 0.972, 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: 0.9864, 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: 0.9757, 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: 0.5, 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: 0.8686, f_measure: 0.7648, kappa: 0.7372, kb_relative_information_score: 1505.3567, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7741, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
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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: 0.9811, 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: 0.9881, 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,
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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,
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: 0.9735, 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: 0.9875, 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: 0.9894, 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: 0.8247, f_measure: 0.6838, kappa: 0.6494, kb_relative_information_score: 1340.127, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6997, predictive_accuracy: 0.6845, prior_entropy: 3.3219, recall: 0.6845, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9194, 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: 0.9214, 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: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 1956.0782, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,

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