OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9603, kappa: 0.914, kb_relative_information_score: 1418.7108, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9629, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, kappa: 0.7801, kb_relative_information_score: 1013.2646, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.9005, prior_entropy: 1.2099, recall: 0.9005, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.213, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, kappa: 0.8007, kb_relative_information_score: 1098.6349, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9502, kappa: 0.8917, kb_relative_information_score: 1476.7502, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9529, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9002, kappa: 0.8147, kb_relative_information_score: 1178.3465, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9111, predictive_accuracy: 0.9144, prior_entropy: 1.2099, recall: 0.9144, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.944, kappa: 0.8808, kb_relative_information_score: 1358.8741, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9476, predictive_accuracy: 0.9439, prior_entropy: 1.2099, recall: 0.9439, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9693, kappa: 0.9334, kb_relative_information_score: 1523.8532, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.971, predictive_accuracy: 0.9688, prior_entropy: 1.2099, recall: 0.9688, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9591, kappa: 0.9115, kb_relative_information_score: 1409.3501, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9617, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9308, kappa: 0.8567, kb_relative_information_score: 1282.8958, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9379, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9498, kappa: 0.892, kb_relative_information_score: 1360.7483, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9533, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.3814, kappa: 0.0334, kb_relative_information_score: -980.9032, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6082, predictive_accuracy: 0.3171, prior_entropy: 1.2099, recall: 0.3171, relative_absolute_error: 1.6272, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4313, root_relative_squared_error: 1.2756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9586, kappa: 0.9104, kb_relative_information_score: 1417.5179, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9613, predictive_accuracy: 0.9578, prior_entropy: 1.2099, recall: 0.9578, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.961, kappa: 0.9153, kb_relative_information_score: 1453.4107, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9636, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.827, kappa: 0.6526, kb_relative_information_score: 908.5652, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8386, predictive_accuracy: 0.8455, prior_entropy: 1.2099, recall: 0.8455, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kb_relative_information_score: 167.697, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9399, kappa: 0.8703, kb_relative_information_score: 1426.9873, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9425, predictive_accuracy: 0.9392, prior_entropy: 1.2099, recall: 0.9392, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9156, kappa: 0.8274, kb_relative_information_score: 1267.2147, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9272, predictive_accuracy: 0.919, prior_entropy: 1.2099, recall: 0.919, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9435, kappa: 0.8798, kb_relative_information_score: 1311.1772, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.947, predictive_accuracy: 0.9439, prior_entropy: 1.2099, recall: 0.9439, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.4803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, kappa: 0.6936, kb_relative_information_score: 1040.0553, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8657, prior_entropy: 1.2099, recall: 0.8657, relative_absolute_error: 0.4461, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.214, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9636, kappa: 0.9208, kb_relative_information_score: 1599.2231, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9641, predictive_accuracy: 0.9635, prior_entropy: 1.2099, recall: 0.9635, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9609, kappa: 0.9152, kb_relative_information_score: 1471.4926, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9633, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.3783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, kappa: 0.0315, kb_relative_information_score: 567.67, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7049, prior_entropy: 1.2099, recall: 0.7049, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, kappa: 0.7994, kb_relative_information_score: 1125.5622, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.5875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, kb_relative_information_score: 497.3741, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9261, kappa: 0.8547, kb_relative_information_score: 1219.3871, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9375, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.5317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9604, kappa: 0.9141, kb_relative_information_score: 1437.9154, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.963, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9592, kappa: 0.9117, kb_relative_information_score: 1436.7592, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9619, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9338, kappa: 0.8594, kb_relative_information_score: 1298.5637, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9412, predictive_accuracy: 0.9334, prior_entropy: 1.2099, recall: 0.9334, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9637, kappa: 0.9212, kb_relative_information_score: 1495.9525, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9658, predictive_accuracy: 0.963, prior_entropy: 1.2099, recall: 0.963, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9615, kappa: 0.9165, kb_relative_information_score: 1433.3218, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9641, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, kappa: 0.581, kb_relative_information_score: 793.6804, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8339, prior_entropy: 1.2099, recall: 0.8339, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.493, kappa: 0.0632, kb_relative_information_score: -933.5429, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6009, predictive_accuracy: 0.4253, prior_entropy: 1.2099, recall: 0.4253, relative_absolute_error: 1.6026, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.2575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, kappa: 0.7813, kb_relative_information_score: 996.0075, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.9022, prior_entropy: 1.2099, recall: 0.9022, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9305, kappa: 0.8625, kb_relative_information_score: 1171.6672, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9399, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.5384,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, kappa: 0.5608, kb_relative_information_score: 617.5556, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8206, prior_entropy: 1.2099, recall: 0.8206, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.258, root_relative_squared_error: 0.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.1846, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs