OpenML
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143201 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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143201 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -0.0129, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8983, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.4765, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9947, unweighted_recall: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.8568, kappa: 0.0636, kb_relative_information_score: -0.0456, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8567, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9679, unweighted_recall: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.8525, kappa: 0.0276, kb_relative_information_score: -0.0076, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8509, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.992, unweighted_recall: 0.5079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.8691, kappa: 0.1551, kb_relative_information_score: -0.0927, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9015, number_of_instances: 1563, precision: 0.8762, predictive_accuracy: 0.9015, prior_entropy: 0.4765, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.285, root_relative_squared_error: 0.9403, unweighted_recall: 0.5492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.8525, kappa: 0.0276, kb_relative_information_score: -0.0421, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8509, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.9754, unweighted_recall: 0.5079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8682, kappa: 0.1476, kb_relative_information_score: -0.0957, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9015, number_of_instances: 1563, precision: 0.8765, predictive_accuracy: 0.9015, prior_entropy: 0.4765, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.9421, unweighted_recall: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.8704, kappa: 0.1642, kb_relative_information_score: -0.0716, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9021, number_of_instances: 1563, precision: 0.8781, predictive_accuracy: 0.9021, prior_entropy: 0.4765, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.285, root_relative_squared_error: 0.9401, unweighted_recall: 0.5523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.8565, kappa: 0.0578, kb_relative_information_score: -0.043, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8983, number_of_instances: 1563, precision: 0.8644, predictive_accuracy: 0.8983, prior_entropy: 0.4765, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9724, unweighted_recall: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, kb_relative_information_score: 0.0011, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.8637, kappa: 0.1132, kb_relative_information_score: -0.0302, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.873, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.294, root_relative_squared_error: 0.9698, unweighted_recall: 0.5346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -0.0727, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9891, unweighted_recall: 0.5028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.8624, kappa: 0.1034, kb_relative_information_score: -0.0256, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8996, number_of_instances: 1563, precision: 0.8703, predictive_accuracy: 0.8996, prior_entropy: 0.4765, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9684, unweighted_recall: 0.5315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.8634, kappa: 0.1115, kb_relative_information_score: -0.0257, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8996, number_of_instances: 1563, precision: 0.87, predictive_accuracy: 0.8996, prior_entropy: 0.4765, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.9684, unweighted_recall: 0.5343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.8514, kappa: 0.0235, kb_relative_information_score: -0.0136, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8951, number_of_instances: 1563, precision: 0.8376, predictive_accuracy: 0.8951, prior_entropy: 0.4765, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9841, unweighted_recall: 0.5069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.8498, kappa: 0.0072, kb_relative_information_score: -0.0095, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8964, number_of_instances: 1563, precision: 0.8317, predictive_accuracy: 0.8964, prior_entropy: 0.4765, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9941, unweighted_recall: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0159, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.997, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.8528, kappa: 0.029, kb_relative_information_score: -0.0056, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8583, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9926, unweighted_recall: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.8533, kappa: 0.0354, kb_relative_information_score: -0.0332, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8964, number_of_instances: 1563, precision: 0.8484, predictive_accuracy: 0.8964, prior_entropy: 0.4765, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.9789, unweighted_recall: 0.5104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0017, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3035, root_relative_squared_error: 1.0013, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.8529, kappa: 0.0341, kb_relative_information_score: -0.0235, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8957, number_of_instances: 1563, precision: 0.8446, predictive_accuracy: 0.8957, prior_entropy: 0.4765, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.9816, unweighted_recall: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.8516, kappa: 0.0195, kb_relative_information_score: -0.1934, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.9657, unweighted_recall: 0.5055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.8498, kappa: 0.0072, kb_relative_information_score: -0.0056, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8964, number_of_instances: 1563, precision: 0.8317, predictive_accuracy: 0.8964, prior_entropy: 0.4765, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9926, unweighted_recall: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.8618, kappa: 0.105, kb_relative_information_score: -0.1237, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8604, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9481, unweighted_recall: 0.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.8618, kappa: 0.0968, kb_relative_information_score: -0.0073, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9002, number_of_instances: 1563, precision: 0.8746, predictive_accuracy: 0.9002, prior_entropy: 0.4765, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.9741, unweighted_recall: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.8528, kappa: 0.029, kb_relative_information_score: -0.1667, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8583, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.9658, unweighted_recall: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -0.0562, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9879, unweighted_recall: 0.5028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.481, kb_relative_information_score: 0.0013, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.8518, kappa: 0.0249, kb_relative_information_score: -0.1404, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8957, number_of_instances: 1563, precision: 0.8411, predictive_accuracy: 0.8957, prior_entropy: 0.4765, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.9607, unweighted_recall: 0.5072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.8686, kappa: 0.1494, kb_relative_information_score: -0.0531, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9021, number_of_instances: 1563, precision: 0.8791, predictive_accuracy: 0.9021, prior_entropy: 0.4765, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.952, unweighted_recall: 0.5468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, kb_relative_information_score: -0.0421, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.9949, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.8591, kappa: 0.0858, kb_relative_information_score: -0.0673, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8957, number_of_instances: 1563, precision: 0.8547, predictive_accuracy: 0.8957, prior_entropy: 0.4765, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.9637, unweighted_recall: 0.5266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.057, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.9956, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, kb_relative_information_score: -0.1005, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.99, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.8521, kappa: 0.0262, kb_relative_information_score: -0.1409, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8964, number_of_instances: 1563, precision: 0.8454, predictive_accuracy: 0.8964, prior_entropy: 0.4765, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9614, unweighted_recall: 0.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.8498, kappa: 0.0072, kb_relative_information_score: -0.0087, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8964, number_of_instances: 1563, precision: 0.8317, predictive_accuracy: 0.8964, prior_entropy: 0.4765, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.9935, unweighted_recall: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.8615, kappa: 0.108, kb_relative_information_score: -0.088, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8951, number_of_instances: 1563, precision: 0.8559, predictive_accuracy: 0.8951, prior_entropy: 0.4765, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9543, unweighted_recall: 0.5346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.8529, kappa: 0.0341, kb_relative_information_score: -0.0194, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8957, number_of_instances: 1563, precision: 0.8446, predictive_accuracy: 0.8957, prior_entropy: 0.4765, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.9828, unweighted_recall: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.021, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9969, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.8601, kappa: 0.0938, kb_relative_information_score: -0.0667, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8957, number_of_instances: 1563, precision: 0.8557, predictive_accuracy: 0.8957, prior_entropy: 0.4765, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.9624, unweighted_recall: 0.5294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.8536, kappa: 0.0368, kb_relative_information_score: -0.014, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.853, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9873, unweighted_recall: 0.5107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.8547, kappa: 0.0505, kb_relative_information_score: -0.0199, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8951, number_of_instances: 1563, precision: 0.8467, predictive_accuracy: 0.8951, prior_entropy: 0.4765, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9736, unweighted_recall: 0.5152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -0.0166, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, weighted_recall: 0.897, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.4765, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9972, unweighted_recall: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.8664, kappa: 0.1324, kb_relative_information_score: -0.0213, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9015, number_of_instances: 1563, precision: 0.8777, predictive_accuracy: 0.9015, prior_entropy: 0.4765, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9669, unweighted_recall: 0.5409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.8704, kappa: 0.1642, kb_relative_information_score: -0.0964, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.1842, weighted_recall: 0.9021, number_of_instances: 1563, precision: 0.8781, predictive_accuracy: 0.9021, prior_entropy: 0.4765, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.9377, unweighted_recall: 0.5523,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, kb_relative_information_score: -0.0049, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8976, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0004, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.8491, kappa: 0.0145, kb_relative_information_score: -0.1668, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8906, number_of_instances: 1563, precision: 0.8245, predictive_accuracy: 0.8906, prior_entropy: 0.4765, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9891, unweighted_recall: 0.5044,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8748, kappa: 0.2469, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8669, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.871, kappa: 0.1919, kb_relative_information_score: -0.0414, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8647, predictive_accuracy: 0.8951, prior_entropy: 0.4765, recall: 0.8951, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8748, kappa: 0.2469, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8669, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8748, kappa: 0.2469, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8669, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.8636, kappa: 0.2708, kb_relative_information_score: -0.0075, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8612, prior_entropy: 0.4765, recall: 0.8612, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.2264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.8021, kappa: 0.2429, kb_relative_information_score: -0.7552, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.878, predictive_accuracy: 0.7607, prior_entropy: 0.4765, recall: 0.7607, relative_absolute_error: 1.3056, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.8641, kappa: 0.1728, kb_relative_information_score: -0.148, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8532, predictive_accuracy: 0.8829, prior_entropy: 0.4765, recall: 0.8829, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.8736, kappa: 0.2228, kb_relative_information_score: -0.1241, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8932, prior_entropy: 0.4765, recall: 0.8932, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8748, kappa: 0.2469, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8669, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.8021, kappa: 0.2429, kb_relative_information_score: -0.7552, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.878, predictive_accuracy: 0.7607, prior_entropy: 0.4765, recall: 0.7607, relative_absolute_error: 1.3056, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.8736, kappa: 0.2228, kb_relative_information_score: -0.1241, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8932, prior_entropy: 0.4765, recall: 0.8932, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.8641, kappa: 0.1728, kb_relative_information_score: -0.148, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8532, predictive_accuracy: 0.8829, prior_entropy: 0.4765, recall: 0.8829, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.8636, kappa: 0.2708, kb_relative_information_score: -0.0075, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8612, prior_entropy: 0.4765, recall: 0.8612, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.2264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, kb_relative_information_score: -0.175, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, kb_relative_information_score: -0.175, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.8866, kappa: 0.287, kb_relative_information_score: -0.1135, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8911, predictive_accuracy: 0.9085, prior_entropy: 0.4765, recall: 0.9085, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.8902,

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

OpenML APIs