OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9914 Supervised Classification wilt 299149 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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299149 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9676, kappa: 0.6465, kb_relative_information_score: 1672.8047, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9703, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.6723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -2358.268, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0572, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.226, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, kb_relative_information_score: 1243.063, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9668, kappa: 0.6395, kb_relative_information_score: 1809.5542, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9618, kappa: 0.5759, kb_relative_information_score: 1503.2702, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9658, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.7033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -6102.5677, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.1637, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2267, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9686, kappa: 0.6583, kb_relative_information_score: 1975.453, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9713, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.9321, kappa: 0.1787, kb_relative_information_score: 337.2047, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9433, predictive_accuracy: 0.9504, prior_entropy: 0.3037, recall: 0.9504, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, kb_relative_information_score: 28.962, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 39.9467, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, kb_relative_information_score: -7155.9608, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.2123, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9431, kappa: 0.324, kb_relative_information_score: 1486.5787, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9579, predictive_accuracy: 0.9568, prior_entropy: 0.3037, recall: 0.9568, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -1088.2529, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0249, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3697.0362, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0933, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2262, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, kb_relative_information_score: 61.2141, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, kb_relative_information_score: 639.3617, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18194.2024, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.6745, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2388, root_relative_squared_error: 1.0572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 333.5292, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2264, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, kb_relative_information_score: -41.6596, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2262, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9664, kappa: 0.6421, kb_relative_information_score: 1590.7855, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9667, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.156, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.9414, kappa: 0.3061, kb_relative_information_score: 96.4335, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9519, predictive_accuracy: 0.9552, prior_entropy: 0.3037, recall: 0.9552, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9518, kappa: 0.4434, kb_relative_information_score: 1087.8001, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9606, predictive_accuracy: 0.9614, prior_entropy: 0.3037, recall: 0.9614, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.9219, kappa: 0.0286, kb_relative_information_score: 640.6855, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9497, predictive_accuracy: 0.9469, prior_entropy: 0.3037, recall: 0.9469, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.8653, kappa: 0.2333, kb_relative_information_score: -7690.537, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9374, predictive_accuracy: 0.8212, prior_entropy: 0.3037, recall: 0.8212, relative_absolute_error: 1.8089, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, kb_relative_information_score: -4571.5906, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.1158, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2264, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 27.2689, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: 16.3164, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -296.8275, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.98, kappa: 0.7929, kb_relative_information_score: 3070.1302, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1613.0842, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0399, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.226, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9666, kappa: 0.6362, kb_relative_information_score: 1637.8193, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9504, kappa: 0.4237, kb_relative_information_score: 795.1931, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.3037, recall: 0.9607, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -3.2781, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, kb_relative_information_score: -12.6425, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 105.8908, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, f_measure: 0.6956, kappa: 0.0355, kb_relative_information_score: -23986.8867, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9114, predictive_accuracy: 0.5852, prior_entropy: 0.3037, recall: 0.5852, relative_absolute_error: 4.0983, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.6431, root_relative_squared_error: 2.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, kb_relative_information_score: -1357.4393, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0324, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9656, kappa: 0.6277, kb_relative_information_score: 1908.2811, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9671, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -7750.5619, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.2195, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2274, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9521, kappa: 0.4478, kb_relative_information_score: 1373.1463, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9608, predictive_accuracy: 0.9616, prior_entropy: 0.3037, recall: 0.9616, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, kb_relative_information_score: -463.1153, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.958, kappa: 0.5632, kb_relative_information_score: -1536.1321, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9568, predictive_accuracy: 0.9607, prior_entropy: 0.3037, recall: 0.9607, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 339.9282, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2264, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, kb_relative_information_score: -868.395, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.203, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -788.0271, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.7649, kappa: 0.0213, kb_relative_information_score: -17696.2438, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9034, predictive_accuracy: 0.6764, prior_entropy: 0.3037, recall: 0.6764, relative_absolute_error: 3.2298, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.5676, root_relative_squared_error: 2.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 18.6022, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9816, kappa: 0.8185, kb_relative_information_score: 2845.2483, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.5039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9816, kappa: 0.8185, kb_relative_information_score: 2845.2483, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.5039,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.985, kappa: 0.851, kb_relative_information_score: 3103.4436, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9848, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9852, kappa: 0.8533, kb_relative_information_score: 3129.7498, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9851, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9845, kappa: 0.8457, kb_relative_information_score: 3149.1569, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9844, kappa: 0.8451, kb_relative_information_score: 3175.8582, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9843, kappa: 0.8433, kb_relative_information_score: 3155.8802, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9843, kappa: 0.8433, kb_relative_information_score: 3165.8139, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.4833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9844, kappa: 0.8451, kb_relative_information_score: 3170.3881, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.4839,

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