Task
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 136164 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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136164 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -58.4434, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 29.6193, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -664.7422, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0861, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.8554, kappa: 0.0488, kb_relative_information_score: -212.7568, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.865, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -696.2751, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -2228.1031, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.3603, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3145, root_relative_squared_error: 1.0376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, f_measure: 0.84, kappa: 0.1259, kb_relative_information_score: -475.3003, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8394, predictive_accuracy: 0.8407, prior_entropy: 0.478, recall: 0.8407, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.2322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 10.8291, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -83.0465, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, kb_relative_information_score: -497.1166, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9041, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -7045.533, mean_absolute_error: 0.6572, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.1024, prior_entropy: 0.478, recall: 0.1024, relative_absolute_error: 3.5685, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.6969, root_relative_squared_error: 2.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -165.7674, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.8531, kappa: 0.1475, kb_relative_information_score: -509.0997, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8443, predictive_accuracy: 0.8637, prior_entropy: 0.478, recall: 0.8637, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3161, root_relative_squared_error: 1.0427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -80.5971, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -174.6243, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3035, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.8643, kappa: 0.1509, kb_relative_information_score: -203.0313, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.854, predictive_accuracy: 0.8893, prior_entropy: 0.478, recall: 0.8893, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.9578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, kb_relative_information_score: -268.6141, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 128.864, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3047, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, kb_relative_information_score: -312.4535, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.8547, kappa: 0.1045, kb_relative_information_score: -517.6516, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8399, predictive_accuracy: 0.8778, prior_entropy: 0.478, recall: 0.8778, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.0341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 49.2537, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -303.1142, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0374, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -595.7055, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0764, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -472.4462, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0597, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3035, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 91.4809, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 17.7952, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.8682, kappa: 0.1916, kb_relative_information_score: -5.0855, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8586, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, kb_relative_information_score: -26.9417, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 2.3912, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -607.8112, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0783, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.8562, kappa: 0.1609, kb_relative_information_score: -548.8763, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8471, predictive_accuracy: 0.8676, prior_entropy: 0.478, recall: 0.8676, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3212, root_relative_squared_error: 1.0595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.7373, kappa: 0.0453, kb_relative_information_score: -2052.1051, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8286, predictive_accuracy: 0.6788, prior_entropy: 0.478, recall: 0.6788, relative_absolute_error: 1.7438, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5667, root_relative_squared_error: 1.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 18.5327, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -36.2648, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.8563, kappa: 0.1897, kb_relative_information_score: -658.0107, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8514, predictive_accuracy: 0.8618, prior_entropy: 0.478, recall: 0.8618, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3295, root_relative_squared_error: 1.0869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, kb_relative_information_score: -435.4262, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, kb_relative_information_score: -445.0103, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -10.2563, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, kb_relative_information_score: -222.1724, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.291, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.8539, kappa: 0.0521, kb_relative_information_score: -254.7513, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8396, predictive_accuracy: 0.8919, prior_entropy: 0.478, recall: 0.8919, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.8524, kappa: 0.0925, kb_relative_information_score: -147.3732, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8369, predictive_accuracy: 0.8752, prior_entropy: 0.478, recall: 0.8752, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3167, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 11.7076, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3043, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -382.696, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, kb_relative_information_score: -233.1487, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 7.3718, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, kb_relative_information_score: -420.5742, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -173.5427, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0204, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, kb_relative_information_score: -369.1455, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.9416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.858, kappa: 0.0812, kb_relative_information_score: -260.5207, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8494, predictive_accuracy: 0.8938, prior_entropy: 0.478, recall: 0.8938, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -770.8151, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.106, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3046, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, kb_relative_information_score: -427.0588, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.9451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -329.8982, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0408, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -2563.8902, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.4391, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3204, root_relative_squared_error: 1.0571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 27.3866, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -264.0551, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0324, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -153.8585, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, f_measure: 0.8538, kappa: 0.1057, kb_relative_information_score: -392.1174, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8393, predictive_accuracy: 0.8752, prior_entropy: 0.478, recall: 0.8752, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3078, root_relative_squared_error: 1.0153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 94.8325, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.304, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, kb_relative_information_score: -285.3025, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.9354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 55.9162, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3035, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -1133.8991, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.1582, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3055, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.8577, kappa: 0.2072, kb_relative_information_score: -211.2029, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8545, predictive_accuracy: 0.8612, prior_entropy: 0.478, recall: 0.8612, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3439, root_relative_squared_error: 1.1345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, kb_relative_information_score: -623.8109, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -167.5422, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, kb_relative_information_score: -482.4892, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -32.7491, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -1254.051, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.1857, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3071, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8613, kappa: 0.1516, kb_relative_information_score: -196.6475, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8494, predictive_accuracy: 0.8816, prior_entropy: 0.478, recall: 0.8816, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.463, f_measure: 0.6647, kappa: -0.0336, kb_relative_information_score: -3130.7646, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8046, predictive_accuracy: 0.5829, prior_entropy: 0.478, recall: 0.5829, relative_absolute_error: 2.2649, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.6459, root_relative_squared_error: 2.1307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -52.985, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.8625, kappa: 0.148, kb_relative_information_score: -277.9371, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8508, predictive_accuracy: 0.8855, prior_entropy: 0.478, recall: 0.8855, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -149.3817, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 55.9947, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -29.9297, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8693, kappa: 0.2096, kb_relative_information_score: -173.1815, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.86, predictive_accuracy: 0.8861, prior_entropy: 0.478, recall: 0.8861, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.8512, kappa: 0.0323, kb_relative_information_score: -315.7317, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8318, predictive_accuracy: 0.8906, prior_entropy: 0.478, recall: 0.8906, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -40.1053, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.8602, kappa: 0.1774, kb_relative_information_score: -173.5118, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8507, predictive_accuracy: 0.8727, prior_entropy: 0.478, recall: 0.8727, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3213, root_relative_squared_error: 1.0599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 45.7108, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -610.5436, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0785, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, kb_relative_information_score: -213.64, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -44.7729, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 61.3933, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3035, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -114.9624, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 190.8196, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3066, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -10.1138, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.85, kappa: 0.0129, kb_relative_information_score: -260.8862, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8291, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.9359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 26.4922, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.4588, kappa: 0.022, kb_relative_information_score: -5467.8603, mean_absolute_error: 0.6251, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8367, predictive_accuracy: 0.3749, prior_entropy: 0.478, recall: 0.3749, relative_absolute_error: 3.3938, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.7906, root_relative_squared_error: 2.6082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 4.5042, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.8522, kappa: 0.0409, kb_relative_information_score: -245.1598, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8346, predictive_accuracy: 0.8906, prior_entropy: 0.478, recall: 0.8906, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 29.4555, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3035, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 14.048, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -372.2562, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0465, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 58.3764, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 38.3198, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 226.8836, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3082, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, kb_relative_information_score: -374.7993, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -62.3771, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 36.2736, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0004,

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