OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32749 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32749 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9486, kappa: 0.874, kb_relative_information_score: 0.8365, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9487, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.863, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4374, unweighted_recall: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9494, kappa: 0.8761, kb_relative_information_score: 0.8401, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9493, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9493, prior_entropy: 0.863, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4326, unweighted_recall: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.95, kappa: 0.8775, kb_relative_information_score: 0.8402, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, weighted_recall: 0.95, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.863, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4381, unweighted_recall: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9502, kappa: 0.8779, kb_relative_information_score: 0.8483, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9502, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.863, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4339, unweighted_recall: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9513, kappa: 0.8808, kb_relative_information_score: 0.8491, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9513, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9513, prior_entropy: 0.863, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, unweighted_recall: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9505, kappa: 0.8789, kb_relative_information_score: 0.8522, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9504, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9504, prior_entropy: 0.863, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4434, unweighted_recall: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9492, kappa: 0.8757, kb_relative_information_score: 0.8448, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9491, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9491, prior_entropy: 0.863, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4338, unweighted_recall: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9471, kappa: 0.8708, kb_relative_information_score: 0.8512, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9469, number_of_instances: 34465, precision: 0.9474, predictive_accuracy: 0.9469, prior_entropy: 0.863, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4655, unweighted_recall: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9496, kappa: 0.8765, kb_relative_information_score: 0.8402, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9497, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 0.863, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4326, unweighted_recall: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9492, kappa: 0.8757, kb_relative_information_score: 0.8387, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9492, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9492, prior_entropy: 0.863, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4312, unweighted_recall: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9481, kappa: 0.8728, kb_relative_information_score: 0.8304, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9481, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9481, prior_entropy: 0.863, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407, unweighted_recall: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.948, kappa: 0.8728, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9479, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9479, prior_entropy: 0.863, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4456, unweighted_recall: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9478, kappa: 0.8719, kb_relative_information_score: 0.8256, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9478, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9478, prior_entropy: 0.863, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4379, unweighted_recall: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9519, kappa: 0.8821, kb_relative_information_score: 0.8617, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9518, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 0.863, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4395, unweighted_recall: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9473, kappa: 0.8709, kb_relative_information_score: 0.8279, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9472, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9472, prior_entropy: 0.863, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.442, unweighted_recall: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9466, kappa: 0.8693, kb_relative_information_score: 0.822, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9465, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.9465, prior_entropy: 0.863, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4412, unweighted_recall: 0.9359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9424, kappa: 0.859, kb_relative_information_score: 0.812, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9423, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9423, prior_entropy: 0.863, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4534, unweighted_recall: 0.9305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9471, kappa: 0.8704, kb_relative_information_score: 0.824, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, weighted_recall: 0.947, number_of_instances: 34465, precision: 0.9471, predictive_accuracy: 0.947, prior_entropy: 0.863, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4408, unweighted_recall: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9513, kappa: 0.8806, kb_relative_information_score: 0.8577, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9513, number_of_instances: 34465, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 0.863, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4341, unweighted_recall: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9508, kappa: 0.8797, kb_relative_information_score: 0.8424, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9508, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 0.863, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4262, unweighted_recall: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.948, kappa: 0.8728, kb_relative_information_score: 0.8254, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4081, weighted_recall: 0.948, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.948, prior_entropy: 0.863, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.437, unweighted_recall: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9423, kappa: 0.8586, kb_relative_information_score: 0.8041, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9423, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9423, prior_entropy: 0.863, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4562, unweighted_recall: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9499, kappa: 0.8773, kb_relative_information_score: 0.8581, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9499, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.863, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4612, unweighted_recall: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9501, kappa: 0.8776, kb_relative_information_score: 0.8445, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9501, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 0.863, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4364, unweighted_recall: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.947, kappa: 0.87, kb_relative_information_score: 0.8252, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4081, weighted_recall: 0.947, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.863, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.441, unweighted_recall: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9489, kappa: 0.8748, kb_relative_information_score: 0.8423, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9488, number_of_instances: 34465, precision: 0.9489, predictive_accuracy: 0.9488, prior_entropy: 0.863, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4381, unweighted_recall: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9498, kappa: 0.8769, kb_relative_information_score: 0.8467, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9498, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.863, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4402, unweighted_recall: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9469, kappa: 0.8698, kb_relative_information_score: 0.823, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9468, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.863, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4406, unweighted_recall: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9506, kappa: 0.879, kb_relative_information_score: 0.8586, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9506, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9506, prior_entropy: 0.863, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.446, unweighted_recall: 0.9394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.952, kappa: 0.8826, kb_relative_information_score: 0.8697, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4081, weighted_recall: 0.952, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 0.863, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4657, unweighted_recall: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9506, kappa: 0.8787, kb_relative_information_score: 0.8392, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9507, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9507, prior_entropy: 0.863, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4302, unweighted_recall: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.951, kappa: 0.88, kb_relative_information_score: 0.8463, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, weighted_recall: 0.951, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 0.863, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.429, unweighted_recall: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9469, kappa: 0.87, kb_relative_information_score: 0.8232, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9469, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.9469, prior_entropy: 0.863, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4383, unweighted_recall: 0.9354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9501, kappa: 0.8778, kb_relative_information_score: 0.8553, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4081, weighted_recall: 0.95, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.95, prior_entropy: 0.863, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4446, unweighted_recall: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9502, kappa: 0.878, kb_relative_information_score: 0.8414, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9503, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9503, prior_entropy: 0.863, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9486, kappa: 0.874, kb_relative_information_score: 0.8352, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9487, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.863, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4326, unweighted_recall: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.945, kappa: 0.8652, kb_relative_information_score: 0.8169, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9449, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9449, prior_entropy: 0.863, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4438, unweighted_recall: 0.9335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9493, kappa: 0.8759, kb_relative_information_score: 0.8474, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9492, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9492, prior_entropy: 0.863, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4475, unweighted_recall: 0.9393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9496, kappa: 0.8768, kb_relative_information_score: 0.8446, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9495, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9495, prior_entropy: 0.863, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4404, unweighted_recall: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9461, kappa: 0.8679, kb_relative_information_score: 0.8268, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9461, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9461, prior_entropy: 0.863, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4424, unweighted_recall: 0.9338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9525, kappa: 0.8835, kb_relative_information_score: 0.8486, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9525, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.863, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4208, unweighted_recall: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9504, kappa: 0.8783, kb_relative_information_score: 0.8406, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9504, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9504, prior_entropy: 0.863, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4321, unweighted_recall: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9516, kappa: 0.8814, kb_relative_information_score: 0.8432, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9517, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9517, prior_entropy: 0.863, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4286, unweighted_recall: 0.9401,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9505, kappa: 0.8787, kb_relative_information_score: 0.8593, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9504, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9504, prior_entropy: 0.863, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4448, unweighted_recall: 0.94,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9509, kappa: 0.8799, kb_relative_information_score: 0.8466, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9508, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.9508, prior_entropy: 0.863, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4325, unweighted_recall: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9502, kappa: 0.878, kb_relative_information_score: 0.8427, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9502, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.863, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.432, unweighted_recall: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9514, kappa: 0.8808, kb_relative_information_score: 0.8544, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9514, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.863, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407, unweighted_recall: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.948, kappa: 0.8728, kb_relative_information_score: 0.8282, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9479, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9479, prior_entropy: 0.863, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4414, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.949, kappa: 0.8749, kb_relative_information_score: 0.8359, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4081, weighted_recall: 0.949, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.863, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4318, unweighted_recall: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9486, kappa: 0.8742, kb_relative_information_score: 0.8314, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9486, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.9486, prior_entropy: 0.863, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4314, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9486, kappa: 0.874, kb_relative_information_score: 0.8352, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9485, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 0.863, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4347, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9428, kappa: 0.8599, kb_relative_information_score: 0.8116, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9427, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9427, prior_entropy: 0.863, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4557, unweighted_recall: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9497, kappa: 0.8766, kb_relative_information_score: 0.8368, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9498, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9498, prior_entropy: 0.863, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4343, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9513, kappa: 0.8809, kb_relative_information_score: 0.8517, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9513, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9513, prior_entropy: 0.863, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4326, unweighted_recall: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9509, kappa: 0.8799, kb_relative_information_score: 0.8472, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9509, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.9509, prior_entropy: 0.863, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.197, root_relative_squared_error: 0.436, unweighted_recall: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9502, kappa: 0.878, kb_relative_information_score: 0.8576, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9503, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9503, prior_entropy: 0.863, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4469, unweighted_recall: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9416, kappa: 0.8568, kb_relative_information_score: 0.8026, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9417, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.9417, prior_entropy: 0.863, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4576, unweighted_recall: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9506, kappa: 0.8791, kb_relative_information_score: 0.8638, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9506, number_of_instances: 34465, precision: 0.9507, predictive_accuracy: 0.9506, prior_entropy: 0.863, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4532, unweighted_recall: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9456, kappa: 0.8668, kb_relative_information_score: 0.8197, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9456, number_of_instances: 34465, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 0.863, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4425, unweighted_recall: 0.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9448, kappa: 0.8647, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9449, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.9449, prior_entropy: 0.863, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4477, unweighted_recall: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9495, kappa: 0.8764, kb_relative_information_score: 0.8372, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4395, unweighted_recall: 0.9399,

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