Task
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 22 Supervised Classification mfeat-zernike 21156 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21156 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.8822, kappa: 0.8689, kb_relative_information_score: 0.8667, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.18, weighted_recall: 0.882, number_of_instances: 2000, precision: 0.8829, predictive_accuracy: 0.882, prior_entropy: 3.3219, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.427, unweighted_recall: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.291, kappa: 0.2311, kb_relative_information_score: 0.0147, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, weighted_recall: 0.308, number_of_instances: 2000, precision: 0.6044, predictive_accuracy: 0.308, prior_entropy: 3.3219, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.9959, unweighted_recall: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4027, kappa: -0.0033, kb_relative_information_score: 0.0035, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.097, number_of_instances: 2000, predictive_accuracy: 0.097, prior_entropy: 3.3219, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, unweighted_recall: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.8933, kappa: 0.8817, kb_relative_information_score: 0.8744, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, weighted_recall: 0.8935, number_of_instances: 2000, precision: 0.8933, predictive_accuracy: 0.8935, prior_entropy: 3.3219, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.123, root_relative_squared_error: 0.4098, unweighted_recall: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8742, kappa: 0.8606, kb_relative_information_score: 0.8669, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, weighted_recall: 0.8745, number_of_instances: 2000, precision: 0.8745, predictive_accuracy: 0.8745, prior_entropy: 3.3219, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.129, root_relative_squared_error: 0.4301, unweighted_recall: 0.8745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.8639, kappa: 0.8494, kb_relative_information_score: 0.8444, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.18, weighted_recall: 0.8645, number_of_instances: 2000, precision: 0.8642, predictive_accuracy: 0.8645, prior_entropy: 3.3219, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4589, unweighted_recall: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5373, f_measure: 0.0966, kappa: 0.0372, kb_relative_information_score: 0.0063, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, weighted_recall: 0.1335, number_of_instances: 2000, precision: 0.3414, predictive_accuracy: 0.1335, prior_entropy: 3.3219, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9989, unweighted_recall: 0.1335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.8832, kappa: 0.8706, kb_relative_information_score: 0.8658, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, weighted_recall: 0.8835, number_of_instances: 2000, precision: 0.8835, predictive_accuracy: 0.8835, prior_entropy: 3.3219, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.4309, unweighted_recall: 0.8835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.3533, kappa: 0.2822, kb_relative_information_score: 0.0168, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, weighted_recall: 0.354, number_of_instances: 2000, precision: 0.7046, predictive_accuracy: 0.354, prior_entropy: 3.3219, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9952, unweighted_recall: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.8761, kappa: 0.8633, kb_relative_information_score: 0.8704, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.18, weighted_recall: 0.877, number_of_instances: 2000, precision: 0.8764, predictive_accuracy: 0.877, prior_entropy: 3.3219, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4247, unweighted_recall: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8929, kappa: 0.8811, kb_relative_information_score: 0.872, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.18, weighted_recall: 0.893, number_of_instances: 2000, precision: 0.893, predictive_accuracy: 0.893, prior_entropy: 3.3219, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.4108, unweighted_recall: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8933, kappa: 0.8811, kb_relative_information_score: 0.862, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, weighted_recall: 0.893, number_of_instances: 2000, precision: 0.8938, predictive_accuracy: 0.893, prior_entropy: 3.3219, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.4368, unweighted_recall: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.868, kappa: 0.8522, kb_relative_information_score: 0.8177, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, weighted_recall: 0.867, number_of_instances: 2000, precision: 0.8719, predictive_accuracy: 0.867, prior_entropy: 3.3219, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4697, unweighted_recall: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.8687, kappa: 0.8556, kb_relative_information_score: 0.8478, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, weighted_recall: 0.87, number_of_instances: 2000, precision: 0.8678, predictive_accuracy: 0.87, prior_entropy: 3.3219, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.4549, unweighted_recall: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8127, kappa: 0.7678, kb_relative_information_score: 0.6655, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.18, weighted_recall: 0.791, number_of_instances: 2000, precision: 0.8727, predictive_accuracy: 0.791, prior_entropy: 3.3219, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.617, unweighted_recall: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8924, kappa: 0.8806, kb_relative_information_score: 0.8724, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.18, weighted_recall: 0.8925, number_of_instances: 2000, precision: 0.8925, predictive_accuracy: 0.8925, prior_entropy: 3.3219, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.4156, unweighted_recall: 0.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.8654, kappa: 0.8517, kb_relative_information_score: 0.8527, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.18, weighted_recall: 0.8665, number_of_instances: 2000, precision: 0.8646, predictive_accuracy: 0.8665, prior_entropy: 3.3219, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4522, unweighted_recall: 0.8665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8492, kappa: 0.8306, kb_relative_information_score: 0.7654, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, weighted_recall: 0.8475, number_of_instances: 2000, precision: 0.8552, predictive_accuracy: 0.8475, prior_entropy: 3.3219, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.5441, unweighted_recall: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.5176, kappa: 0.4628, kb_relative_information_score: 0.5088, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.18, weighted_recall: 0.5165, number_of_instances: 2000, precision: 0.5301, predictive_accuracy: 0.5165, prior_entropy: 3.3219, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.8082, unweighted_recall: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.8825, kappa: 0.8694, kb_relative_information_score: 0.8684, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, weighted_recall: 0.8825, number_of_instances: 2000, precision: 0.8829, predictive_accuracy: 0.8825, prior_entropy: 3.3219, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.4258, unweighted_recall: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.858, kappa: 0.8428, kb_relative_information_score: 0.8441, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, weighted_recall: 0.8585, number_of_instances: 2000, precision: 0.8589, predictive_accuracy: 0.8585, prior_entropy: 3.3219, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4588, unweighted_recall: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.7944, kappa: 0.7683, kb_relative_information_score: 0.8001, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7978, predictive_accuracy: 0.7915, prior_entropy: 3.3219, recall: 0.7915, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.6003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8325, kappa: 0.8167, kb_relative_information_score: 0.8275, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8305, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.7911, kappa: 0.7628, kb_relative_information_score: 0.794, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7967, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7904, kappa: 0.7622, kb_relative_information_score: 0.7928, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7955, predictive_accuracy: 0.786, prior_entropy: 3.3219, recall: 0.786, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8045, kappa: 0.7828, kb_relative_information_score: 0.8492, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8048, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.157, root_relative_squared_error: 0.5233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.81, kappa: 0.7811, kb_relative_information_score: 0.794, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8188, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.7373, kappa: 0.7106, kb_relative_information_score: 0.6911, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7362, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6638, kappa: 0.6261, kb_relative_information_score: 0.6481, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6638, kappa: 0.6261, kb_relative_information_score: 0.6481, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6638, kappa: 0.6261, kb_relative_information_score: 0.6481, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6638, kappa: 0.6261, kb_relative_information_score: 0.6481, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.7749, kappa: 0.745, kb_relative_information_score: 0.7949, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7797, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.5772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.794, kappa: 0.7733, kb_relative_information_score: 0.8399, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7931, predictive_accuracy: 0.796, prior_entropy: 3.3219, recall: 0.796, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.6253, kappa: 0.5933, kb_relative_information_score: 0.6696, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6206, predictive_accuracy: 0.634, prior_entropy: 3.3219, recall: 0.634, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.673, kappa: 0.635, kb_relative_information_score: 0.6565, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6754, predictive_accuracy: 0.6715, prior_entropy: 3.3219, recall: 0.6715, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.7363, kappa: 0.7111, kb_relative_information_score: 0.6692, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7337, predictive_accuracy: 0.74, prior_entropy: 3.3219, recall: 0.74, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.7127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6638, kappa: 0.6261, kb_relative_information_score: 0.6481, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6638, kappa: 0.6261, kb_relative_information_score: 0.6481, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.7749, kappa: 0.745, kb_relative_information_score: 0.7949, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7797, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.5772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.673, kappa: 0.635, kb_relative_information_score: 0.6565, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6754, predictive_accuracy: 0.6715, prior_entropy: 3.3219, recall: 0.6715, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.6253, kappa: 0.5933, kb_relative_information_score: 0.6696, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6206, predictive_accuracy: 0.634, prior_entropy: 3.3219, recall: 0.634, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6638, kappa: 0.6261, kb_relative_information_score: 0.6481, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.794, kappa: 0.7733, kb_relative_information_score: 0.8399, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7931, predictive_accuracy: 0.796, prior_entropy: 3.3219, recall: 0.796, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6638, kappa: 0.6261, kb_relative_information_score: 0.6481, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, 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: 0.5, kb_relative_information_score: 0.0588, 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: 0.6347, f_measure: 0.3837, kappa: 0.2694, kb_relative_information_score: 0.3124, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7319, predictive_accuracy: 0.3425, prior_entropy: 3.3219, recall: 0.3425, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3626, root_relative_squared_error: 1.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, 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: 0.7731, f_measure: 0.6221, kappa: 0.5461, kb_relative_information_score: 0.5728, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7465, predictive_accuracy: 0.5915, prior_entropy: 3.3219, recall: 0.5915, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.0537, kappa: 0.005, kb_relative_information_score: 0.0635, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7177, predictive_accuracy: 0.1045, prior_entropy: 3.3219, recall: 0.1045, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4232, root_relative_squared_error: 1.4107,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, 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: 0.5047, f_measure: 0.0611, kappa: 0.0094, kb_relative_information_score: 0.0677, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7178, predictive_accuracy: 0.1085, prior_entropy: 3.3219, recall: 0.1085, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.4075,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kappa: -0.0017, kb_relative_information_score: 0.0572, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0985, prior_entropy: 3.3219, recall: 0.0985, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.6221, kappa: 0.5461, kb_relative_information_score: 0.5728, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7465, predictive_accuracy: 0.5915, prior_entropy: 3.3219, recall: 0.5915, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kappa: -0.0017, kb_relative_information_score: 0.0572, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0985, prior_entropy: 3.3219, recall: 0.0985, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4154,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, 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: 0.5, kb_relative_information_score: 0.0588, 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: 0.5, kb_relative_information_score: 0.0588, 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: 0.5, kb_relative_information_score: 0.0588, 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: 0.5, kb_relative_information_score: 0.0588, 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: 0.5, kb_relative_information_score: 0.0588, 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: 0.5, kb_relative_information_score: 0.0588, 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: 0.5647, f_measure: 0.2181, kappa: 0.1294, kb_relative_information_score: 0.1806, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7245, predictive_accuracy: 0.2165, prior_entropy: 3.3219, recall: 0.2165, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3959, root_relative_squared_error: 1.3195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, 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: 0.5, kb_relative_information_score: 0.0588, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.2181, kappa: 0.1294, kb_relative_information_score: 0.1806, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7245, predictive_accuracy: 0.2165, prior_entropy: 3.3219, recall: 0.2165, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3959, root_relative_squared_error: 1.3195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.0517, kappa: 0.0039, kb_relative_information_score: 0.0625, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7177, predictive_accuracy: 0.1035, prior_entropy: 3.3219, recall: 0.1035, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, 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: 0.6839, f_measure: 0.4697, kappa: 0.3678, kb_relative_information_score: 0.405, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6784, predictive_accuracy: 0.431, prior_entropy: 3.3219, recall: 0.431, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3373, root_relative_squared_error: 1.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, 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: 0.5, kb_relative_information_score: 0.0588, 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: 0.5, kb_relative_information_score: 0.0588, 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,

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