OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31698 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31698 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9481, kappa: 0.8727, kb_relative_information_score: 28159.8446, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8994, kappa: 0.7516, kb_relative_information_score: 22782.0305, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.899, predictive_accuracy: 0.9002, prior_entropy: 0.863, recall: 0.9002, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.5927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.5957, kappa: 0.0007, kb_relative_information_score: -1791.8801, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.796, predictive_accuracy: 0.7145, prior_entropy: 0.863, recall: 0.7145, relative_absolute_error: 1.0228, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4523, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9585, kappa: 0.8981, kb_relative_information_score: 29340.3034, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9631, kappa: 0.9095, kb_relative_information_score: 29344.0392, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9721, kappa: 0.9316, kb_relative_information_score: -4509.5399, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 0.863, recall: 0.9721, relative_absolute_error: 1.0419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9534, kappa: 0.8858, kb_relative_information_score: 28683.1885, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9589, kappa: 0.899, kb_relative_information_score: 29088.3128, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9594, kappa: 0.9003, kb_relative_information_score: 28744.6649, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9502, kappa: 0.8774, kb_relative_information_score: 26575.4342, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, kb_relative_information_score: 1363.0001, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 29259.4745, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9722, kappa: 0.9316, kb_relative_information_score: 23384.4338, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9721, predictive_accuracy: 0.9722, prior_entropy: 0.863, recall: 0.9722, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9634, kappa: 0.9104, kb_relative_information_score: 29799.7635, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9504, kappa: 0.8773, kb_relative_information_score: 28568.4092, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9509, prior_entropy: 0.863, recall: 0.9509, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9457, kappa: 0.8667, kb_relative_information_score: 27972.0699, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9456, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.973, kappa: 0.9337, kb_relative_information_score: 26559.7065, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9637, kappa: 0.911, kb_relative_information_score: 29996.3194, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9326, kappa: 0.8347, kb_relative_information_score: 26396.2888, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9326, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9471, kappa: 0.8702, kb_relative_information_score: 28071.2976, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8802, kappa: 0.7058, kb_relative_information_score: 20433.9247, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.88, predictive_accuracy: 0.8805, prior_entropy: 0.863, recall: 0.8805, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.6449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9449, kappa: 0.8648, kb_relative_information_score: 27908.1909, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.963, kappa: 0.9093, kb_relative_information_score: 29790.3913, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4244, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9607, kappa: 0.9038, kb_relative_information_score: 29592.9059, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9653, kappa: 0.9148, kb_relative_information_score: 18489.4743, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9209, kappa: 0.8075, kb_relative_information_score: 24632.6865, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9205, prior_entropy: 0.863, recall: 0.9205, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9352, kappa: 0.8407, kb_relative_information_score: 26666.5494, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 29764.4458, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 29669.3929, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, kb_relative_information_score: 3163.4132, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 30054.7716, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9628, kappa: 0.9088, kb_relative_information_score: 29634.7408, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9648, kappa: 0.9137, kb_relative_information_score: 29486.9852, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9495, kappa: 0.8762, kb_relative_information_score: 9713.8866, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.336, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 29806.4287, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9063, kappa: 0.7625, kb_relative_information_score: -8757.4282, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9175, predictive_accuracy: 0.9111, prior_entropy: 0.863, recall: 0.9111, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9386, kappa: 0.8484, kb_relative_information_score: 21780.4701, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9392, prior_entropy: 0.863, recall: 0.9392, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.961, kappa: 0.9044, kb_relative_information_score: 2925.3165, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, kb_relative_information_score: 1223.6261, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9467, kappa: 0.8692, kb_relative_information_score: 28099.4328, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9466, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9244, kappa: 0.8158, kb_relative_information_score: 25232.1959, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.925, predictive_accuracy: 0.924, prior_entropy: 0.863, recall: 0.924, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9657, kappa: 0.916, kb_relative_information_score: -12844.7754, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 1.2043, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9511, kappa: 0.88, kb_relative_information_score: 28434.5248, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9606, kappa: 0.9033, kb_relative_information_score: 28863.4993, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9429, kappa: 0.8599, kb_relative_information_score: 27671.2496, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9673, kappa: 0.9199, kb_relative_information_score: 29765.8261, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8508, kappa: 0.6176, kb_relative_information_score: 17295.4109, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8771, predictive_accuracy: 0.8638, prior_entropy: 0.863, recall: 0.8638, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9556, kappa: 0.8911, kb_relative_information_score: 28295.5888, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9605, kappa: 0.903, kb_relative_information_score: 29098.8158, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9544, kappa: 0.8875, kb_relative_information_score: -7631.9391, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 1.1009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9698, kappa: 0.9258, kb_relative_information_score: 28959.0117, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3566,

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