Task
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143129 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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143129 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.8508, kappa: 0.0209, kb_relative_information_score: -58.0204, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8324, predictive_accuracy: 0.8938, prior_entropy: 0.478, recall: 0.8938, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.8561, kappa: 0.1568, kb_relative_information_score: -180.0404, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8465, predictive_accuracy: 0.8682, prior_entropy: 0.478, recall: 0.8682, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.8684, kappa: 0.1816, kb_relative_information_score: -51.1637, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8597, predictive_accuracy: 0.8912, prior_entropy: 0.478, recall: 0.8912, relative_absolute_error: 0.8872, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3077, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.8639, kappa: 0.2605, kb_relative_information_score: -95.3373, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8641, predictive_accuracy: 0.8637, prior_entropy: 0.478, recall: 0.8637, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3351, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.8608, kappa: 0.2136, kb_relative_information_score: -150.4889, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8559, predictive_accuracy: 0.8663, prior_entropy: 0.478, recall: 0.8663, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3348, root_relative_squared_error: 1.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -50.3964, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8493, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.8674, kappa: 0.1991, kb_relative_information_score: -149.1869, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8576, predictive_accuracy: 0.8842, prior_entropy: 0.478, recall: 0.8842, relative_absolute_error: 0.8692, 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: 0.6234, f_measure: 0.8644, kappa: 0.2619, kb_relative_information_score: -44.5687, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8644, predictive_accuracy: 0.8644, prior_entropy: 0.478, recall: 0.8644, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3537, root_relative_squared_error: 1.1669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.8578, kappa: 0.2357, kb_relative_information_score: -77.6756, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8596, predictive_accuracy: 0.856, prior_entropy: 0.478, recall: 0.856, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3782, root_relative_squared_error: 1.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -50.3964, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8493, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.8614, kappa: 0.14, kb_relative_information_score: -125.865, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8492, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3086, root_relative_squared_error: 1.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.8719, kappa: 0.2294, kb_relative_information_score: -111.8831, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8633, predictive_accuracy: 0.8874, prior_entropy: 0.478, recall: 0.8874, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, 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: 0.697, f_measure: 0.8544, kappa: 0.0769, kb_relative_information_score: -211.9493, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8381, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.297, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.8519, kappa: 0.0496, kb_relative_information_score: -174.8055, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8333, predictive_accuracy: 0.8868, prior_entropy: 0.478, recall: 0.8868, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.8699, kappa: 0.2152, kb_relative_information_score: -81.3331, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8608, predictive_accuracy: 0.8861, prior_entropy: 0.478, recall: 0.8861, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3099, root_relative_squared_error: 1.0225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.8625, kappa: 0.178, kb_relative_information_score: -153.2154, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8521, predictive_accuracy: 0.8778, prior_entropy: 0.478, recall: 0.8778, relative_absolute_error: 0.8626, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3061, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.8603, kappa: 0.2155, kb_relative_information_score: -201.5288, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8561, predictive_accuracy: 0.865, prior_entropy: 0.478, recall: 0.865, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3372, root_relative_squared_error: 1.1124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.8561, kappa: 0.1568, kb_relative_information_score: -180.0404, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8465, predictive_accuracy: 0.8682, prior_entropy: 0.478, recall: 0.8682, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.8611, kappa: 0.1312, kb_relative_information_score: -170.3733, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8491, predictive_accuracy: 0.8868, prior_entropy: 0.478, recall: 0.8868, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.8688, kappa: 0.2178, kb_relative_information_score: -131.5598, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.8624, kappa: 0.1667, kb_relative_information_score: -143.7349, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8512, predictive_accuracy: 0.8804, prior_entropy: 0.478, recall: 0.8804, relative_absolute_error: 0.9062, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.315, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.8561, kappa: 0.1568, kb_relative_information_score: -180.0404, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8465, predictive_accuracy: 0.8682, prior_entropy: 0.478, recall: 0.8682, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, f_measure: 0.8644, kappa: 0.2619, kb_relative_information_score: -44.5687, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8644, predictive_accuracy: 0.8644, prior_entropy: 0.478, recall: 0.8644, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3537, root_relative_squared_error: 1.1669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.8719, kappa: 0.2294, kb_relative_information_score: -111.8831, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8633, predictive_accuracy: 0.8874, prior_entropy: 0.478, recall: 0.8874, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.8595, kappa: 0.1253, kb_relative_information_score: -137.1031, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8464, predictive_accuracy: 0.8842, prior_entropy: 0.478, recall: 0.8842, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3092, root_relative_squared_error: 1.0199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.8688, kappa: 0.2178, kb_relative_information_score: -131.5598, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -50.3964, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8493, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.8694, kappa: 0.2267, kb_relative_information_score: -61.0722, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8609, predictive_accuracy: 0.8823, prior_entropy: 0.478, recall: 0.8823, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3103, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.8724, kappa: 0.2215, kb_relative_information_score: -119.6508, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8641, predictive_accuracy: 0.8906, prior_entropy: 0.478, recall: 0.8906, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.8719, kappa: 0.2294, kb_relative_information_score: -111.8831, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8633, predictive_accuracy: 0.8874, prior_entropy: 0.478, recall: 0.8874, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.8661, kappa: 0.2407, kb_relative_information_score: -21.3563, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.861, predictive_accuracy: 0.872, prior_entropy: 0.478, recall: 0.872, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3399, root_relative_squared_error: 1.1212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.8617, kappa: 0.2508, kb_relative_information_score: -36.01, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8623, predictive_accuracy: 0.8612, prior_entropy: 0.478, recall: 0.8612, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3677, root_relative_squared_error: 1.2131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, f_measure: 0.8644, kappa: 0.2619, kb_relative_information_score: -44.5687, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8644, predictive_accuracy: 0.8644, prior_entropy: 0.478, recall: 0.8644, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3537, root_relative_squared_error: 1.1669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -50.3964, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8493, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.8591, kappa: 0.181, kb_relative_information_score: -159.0835, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8508, predictive_accuracy: 0.8695, prior_entropy: 0.478, recall: 0.8695, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3143, root_relative_squared_error: 1.0369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.8685, kappa: 0.2235, kb_relative_information_score: -103.2347, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.86, predictive_accuracy: 0.881, prior_entropy: 0.478, recall: 0.881, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3118, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.8685, kappa: 0.2235, kb_relative_information_score: -103.2347, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.86, predictive_accuracy: 0.881, prior_entropy: 0.478, recall: 0.881, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3118, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.8498, kappa: 0.0072, kb_relative_information_score: -68.6245, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8317, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, 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: 0.7078, f_measure: 0.8675, kappa: 0.1925, kb_relative_information_score: -142.6392, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8576, predictive_accuracy: 0.8861, prior_entropy: 0.478, recall: 0.8861, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, 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: 0.68, f_measure: 0.8694, kappa: 0.2267, kb_relative_information_score: -63.087, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8609, predictive_accuracy: 0.8823, prior_entropy: 0.478, recall: 0.8823, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3103, root_relative_squared_error: 1.0237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.8652, kappa: 0.2345, kb_relative_information_score: -75.0808, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8599, predictive_accuracy: 0.8714, prior_entropy: 0.478, recall: 0.8714, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3287, root_relative_squared_error: 1.0845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, 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: 0.6791, f_measure: 0.8531, kappa: 0.0536, kb_relative_information_score: -144.0924, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8359, predictive_accuracy: 0.8887, prior_entropy: 0.478, recall: 0.8887, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9833,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, 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: 0.6791, f_measure: 0.8531, kappa: 0.0536, kb_relative_information_score: -144.0924, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8359, predictive_accuracy: 0.8887, prior_entropy: 0.478, recall: 0.8887, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.8522, kappa: 0.0409, kb_relative_information_score: -119.0529, mean_absolute_error: 0.1767, 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: 0.9592, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.299, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.8688, kappa: 0.2178, kb_relative_information_score: -131.5598, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8551, kappa: 0.0519, kb_relative_information_score: -50.3964, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8493, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.8637, kappa: 0.1248, kb_relative_information_score: -195.7528, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8591, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.867, kappa: 0.1463, kb_relative_information_score: -172.5755, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8665, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.8659, kappa: 0.2582, kb_relative_information_score: -47.6134, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8638, predictive_accuracy: 0.8682, prior_entropy: 0.478, recall: 0.8682, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3443, root_relative_squared_error: 1.1358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.86, kappa: 0.1229, kb_relative_information_score: -157.9507, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8473, predictive_accuracy: 0.8861, prior_entropy: 0.478, recall: 0.8861, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.856, kappa: 0.1045, kb_relative_information_score: -222.325, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8412, predictive_accuracy: 0.881, prior_entropy: 0.478, recall: 0.881, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9617,

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