OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13041 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, kappa: 0.137, kb_relative_information_score: 230.0167, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1456, prior_entropy: 6.6439, recall: 0.1456, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1307, root_relative_squared_error: 1.3138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8433, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.849, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8464, kappa: 0.8447, kb_relative_information_score: 1353.4631, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8508, predictive_accuracy: 0.8463, prior_entropy: 6.6439, recall: 0.8463, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.5573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.2895, kappa: 0.2683, kb_relative_information_score: 438.4706, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3464, predictive_accuracy: 0.2756, prior_entropy: 6.6439, recall: 0.2756, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1204, root_relative_squared_error: 1.2097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8148, kappa: 0.8131, kb_relative_information_score: 1303.354, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8236, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.6113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2983, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.3248, kappa: 0.3068, kb_relative_information_score: 499.6037, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3686, predictive_accuracy: 0.3138, prior_entropy: 6.6439, recall: 0.3138, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1172, root_relative_squared_error: 1.1774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.2315, kappa: 0.2109, kb_relative_information_score: 347.272, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3052, predictive_accuracy: 0.2188, prior_entropy: 6.6439, recall: 0.2188, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.125, root_relative_squared_error: 1.2563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.3043, kappa: 0.2096, kb_relative_information_score: 345.2676, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7163, predictive_accuracy: 0.2175, prior_entropy: 6.6439, recall: 0.2175, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1251, root_relative_squared_error: 1.2573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.2584, kappa: 0.2367, kb_relative_information_score: 388.3615, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3155, predictive_accuracy: 0.2444, prior_entropy: 6.6439, recall: 0.2444, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1229, root_relative_squared_error: 1.2355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, kappa: 0.0429, kb_relative_information_score: 80.6915, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0525, prior_entropy: 6.6439, recall: 0.0525, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1377, root_relative_squared_error: 1.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, kappa: 0.0682, kb_relative_information_score: 120.7788, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0775, prior_entropy: 6.6439, recall: 0.0775, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1358, root_relative_squared_error: 1.3652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8465, kappa: 0.8441, kb_relative_information_score: 1352.4609, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8519, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.5585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.3793, kappa: 0.2759, kb_relative_information_score: 450.4968, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.748, predictive_accuracy: 0.2831, prior_entropy: 6.6439, recall: 0.2831, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1197, root_relative_squared_error: 1.2034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8393, kappa: 0.8378, kb_relative_information_score: 1342.4391, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8455, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8366, kappa: 0.8352, kb_relative_information_score: 1338.4304, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8432, predictive_accuracy: 0.8369, prior_entropy: 6.6439, recall: 0.8369, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.5741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7319, kappa: 0.7273, kb_relative_information_score: 1167.0572, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7527, predictive_accuracy: 0.73, prior_entropy: 6.6439, recall: 0.73, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.4348, kappa: 0.3277, kb_relative_information_score: 532.6757, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7608, predictive_accuracy: 0.3344, prior_entropy: 6.6439, recall: 0.3344, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1154, root_relative_squared_error: 1.1596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.526, kappa: 0.5158, kb_relative_information_score: 831.3261, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5526, predictive_accuracy: 0.5206, prior_entropy: 6.6439, recall: 0.5206, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, kappa: 0.0669, kb_relative_information_score: 118.7744, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0763, prior_entropy: 6.6439, recall: 0.0763, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1359, root_relative_squared_error: 1.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8093, kappa: 0.8074, kb_relative_information_score: 1294.3344, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.819, predictive_accuracy: 0.8094, prior_entropy: 6.6439, recall: 0.8094, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8457, kappa: 0.8441, kb_relative_information_score: 1352.4609, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8513, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.5585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8451, kappa: 0.8434, kb_relative_information_score: 1351.4588, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8493, predictive_accuracy: 0.845, prior_entropy: 6.6439, recall: 0.845, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.2968, kappa: 0.2753, kb_relative_information_score: 449.4946, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.351, predictive_accuracy: 0.2825, prior_entropy: 6.6439, recall: 0.2825, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1198, root_relative_squared_error: 1.2039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8451, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8505, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7163, kappa: 0.7121, kb_relative_information_score: 1143.0048, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7369, predictive_accuracy: 0.715, prior_entropy: 6.6439, recall: 0.715, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8419, kappa: 0.8396, kb_relative_information_score: 1345.4457, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8468, predictive_accuracy: 0.8413, prior_entropy: 6.6439, recall: 0.8413, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.5663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8242, kappa: 0.8182, kb_relative_information_score: 1311.3715, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8374, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.06, root_relative_squared_error: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8401, kappa: 0.8378, kb_relative_information_score: 1342.4391, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8451, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, kappa: 0.0467, kb_relative_information_score: 86.7046, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0563, prior_entropy: 6.6439, recall: 0.0563, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1374, root_relative_squared_error: 1.3808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0391, kb_relative_information_score: 74.6784, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0488, prior_entropy: 6.6439, recall: 0.0488, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1379, root_relative_squared_error: 1.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8418, kappa: 0.8396, kb_relative_information_score: 1345.4457, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8468, predictive_accuracy: 0.8413, prior_entropy: 6.6439, recall: 0.8413, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.5663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.6211, kappa: 0.5278, kb_relative_information_score: 850.3676, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8016, predictive_accuracy: 0.5325, prior_entropy: 6.6439, recall: 0.5325, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8427, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8469, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2983, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8453, kappa: 0.8434, kb_relative_information_score: 1351.4588, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8492, predictive_accuracy: 0.845, prior_entropy: 6.6439, recall: 0.845, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.3952, kappa: 0.3801, kb_relative_information_score: 615.8569, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4284, predictive_accuracy: 0.3863, prior_entropy: 6.6439, recall: 0.3863, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1108, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0391, kb_relative_information_score: 74.6784, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0488, prior_entropy: 6.6439, recall: 0.0488, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1379, root_relative_squared_error: 1.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7657, kappa: 0.7342, kb_relative_information_score: 1178.0812, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8172, predictive_accuracy: 0.7369, prior_entropy: 6.6439, recall: 0.7369, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.7291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8447, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8493, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, kappa: 0.06, kb_relative_information_score: 107.7504, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0694, prior_entropy: 6.6439, recall: 0.0694, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1364, root_relative_squared_error: 1.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2195, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.299, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.6651, kappa: 0.584, kb_relative_information_score: 939.5618, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8078, predictive_accuracy: 0.5881, prior_entropy: 6.6439, recall: 0.5881, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8473, kappa: 0.846, kb_relative_information_score: 1355.4675, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8518, predictive_accuracy: 0.8475, prior_entropy: 6.6439, recall: 0.8475, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.2849, kappa: 0.2639, kb_relative_information_score: 431.4553, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3435, predictive_accuracy: 0.2713, prior_entropy: 6.6439, recall: 0.2713, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1207, root_relative_squared_error: 1.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, kappa: 0.0568, kb_relative_information_score: 102.7395, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0663, prior_entropy: 6.6439, recall: 0.0663, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1367, root_relative_squared_error: 1.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.6339, kappa: 0.6301, kb_relative_information_score: 1012.7211, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6552, predictive_accuracy: 0.6338, prior_entropy: 6.6439, recall: 0.6338, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.8602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2991, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4524, f_measure: 0.0091, kappa: 0.0025, kb_relative_information_score: 24.2581, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0161, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.4114, kappa: 0.4141, kb_relative_information_score: 846.404, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4226, predictive_accuracy: 0.42, prior_entropy: 6.6439, recall: 0.42, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9087, scimark_benchmark: 1275.6898, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8502, kappa: 0.851, kb_relative_information_score: 1180.0636, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8546, predictive_accuracy: 0.8525, prior_entropy: 6.6439, recall: 0.8525, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.7121, scimark_benchmark: 1285.5831, usercpu_time_millis: 3680, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 3440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.4331, kappa: 0.4129, kb_relative_information_score: 737.3346, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4715, predictive_accuracy: 0.4188, prior_entropy: 6.6439, recall: 0.4188, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.9541, scimark_benchmark: 1232.0723, usercpu_time_millis: 4880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.7637, kappa: 0.7645, kb_relative_information_score: 1331.5579, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7798, predictive_accuracy: 0.7669, prior_entropy: 6.6439, recall: 0.7669, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.6023, scimark_benchmark: 1165.4965, usercpu_time_millis: 1120, usercpu_time_millis_testing: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.6985, kappa: 0.6963, kb_relative_information_score: 1101.8727, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7072, predictive_accuracy: 0.6994, prior_entropy: 6.6439, recall: 0.6994, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.7564, scimark_benchmark: 1277.0494, usercpu_time_millis: 520, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8079, kappa: 0.8062, kb_relative_information_score: 1357.7427, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8163, predictive_accuracy: 0.8081, prior_entropy: 6.6439, recall: 0.8081, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.573, scimark_benchmark: 765.4043, usercpu_time_millis: 2750, usercpu_time_millis_testing: 2610, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7943, kappa: 0.7967, kb_relative_information_score: 1185.7613, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7999, predictive_accuracy: 0.7988, prior_entropy: 6.6439, recall: 0.7988, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.7073, scimark_benchmark: 1205.1288, usercpu_time_millis: 3520, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.8139, kappa: 0.8119, kb_relative_information_score: 239.2369, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8219, predictive_accuracy: 0.8138, prior_entropy: 6.6439, recall: 0.8138, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9916, scimark_benchmark: 1148.1644, usercpu_time_millis: 10690, usercpu_time_millis_testing: 1600, usercpu_time_millis_training: 9090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.772, kappa: 0.7708, kb_relative_information_score: 1347.6516, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7864, predictive_accuracy: 0.7731, prior_entropy: 6.6439, recall: 0.7731, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.5751, scimark_benchmark: 1057.8818, usercpu_time_millis: 1250, usercpu_time_millis_testing: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8241, kappa: 0.8239, kb_relative_information_score: 1325.0237, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8317, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5716, scimark_benchmark: 1287.2033, usercpu_time_millis: 445150, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 443870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.7626, kappa: 0.7633, kb_relative_information_score: 1283.1824, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7749, predictive_accuracy: 0.7656, prior_entropy: 6.6439, recall: 0.7656, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.6271, scimark_benchmark: 930.1844, usercpu_time_millis: 1470, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8558, kappa: 0.8529, kb_relative_information_score: 1386.9936, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8621, predictive_accuracy: 0.8544, prior_entropy: 6.6439, recall: 0.8544, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.5234, scimark_benchmark: 901.458, usercpu_time_millis: 2800, usercpu_time_millis_testing: 2770, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.4768, kappa: 0.4697, kb_relative_information_score: 810.6129, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4903, predictive_accuracy: 0.475, prior_entropy: 6.6439, recall: 0.475, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.096, root_relative_squared_error: 0.9645, scimark_benchmark: 944.2477, usercpu_time_millis: 690, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 620,

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