OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125966 Supervised Classification SpeedDating 2541 runs submitted
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2541 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.8027, kappa: 0.2052, kb_relative_information_score: 2112.7532, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7966, predictive_accuracy: 0.833, prior_entropy: 0.6457, recall: 0.833, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8565, kappa: 0.4445, kb_relative_information_score: 1935.2889, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.854, predictive_accuracy: 0.8676, prior_entropy: 0.6457, recall: 0.8676, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.8299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8488, kappa: 0.402, kb_relative_information_score: 1467.9693, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.85, predictive_accuracy: 0.8661, prior_entropy: 0.6457, recall: 0.8661, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.846, kappa: 0.3913, kb_relative_information_score: 1443.474, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8462, predictive_accuracy: 0.8633, prior_entropy: 0.6457, recall: 0.8633, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8569, kappa: 0.4466, kb_relative_information_score: 1946.3589, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8544, predictive_accuracy: 0.8679, prior_entropy: 0.6457, recall: 0.8679, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.8293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8362, kappa: 0.3446, kb_relative_information_score: 1141.2274, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.839, predictive_accuracy: 0.8587, prior_entropy: 0.6457, recall: 0.8587, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8058, kappa: 0.1979, kb_relative_information_score: 979.578, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8362, predictive_accuracy: 0.8508, prior_entropy: 0.6457, recall: 0.8508, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8538, kappa: 0.4366, kb_relative_information_score: 1927.1467, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8506, predictive_accuracy: 0.8642, prior_entropy: 0.6457, recall: 0.8642, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8574, kappa: 0.4504, kb_relative_information_score: 1958.6606, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8546, predictive_accuracy: 0.8676, prior_entropy: 0.6457, recall: 0.8676, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.8231, kappa: 0.3043, kb_relative_information_score: 616.3136, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8174, predictive_accuracy: 0.8414, prior_entropy: 0.6457, recall: 0.8414, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8172, kappa: 0.2528, kb_relative_information_score: 756.0124, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8307, predictive_accuracy: 0.8524, prior_entropy: 0.6457, recall: 0.8524, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8577, kappa: 0.4495, kb_relative_information_score: 1950.3743, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8554, predictive_accuracy: 0.8687, prior_entropy: 0.6457, recall: 0.8687, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.8294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8584, kappa: 0.4543, kb_relative_information_score: 1965.4269, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8558, predictive_accuracy: 0.8686, prior_entropy: 0.6457, recall: 0.8686, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8559, kappa: 0.4453, kb_relative_information_score: 1986.732, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8528, predictive_accuracy: 0.8658, prior_entropy: 0.6457, recall: 0.8658, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.31, root_relative_squared_error: 0.8357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8478, kappa: 0.3982, kb_relative_information_score: 1443.14, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8487, predictive_accuracy: 0.8651, prior_entropy: 0.6457, recall: 0.8651, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8137, kappa: 0.2334, kb_relative_information_score: 972.466, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8387, predictive_accuracy: 0.8538, prior_entropy: 0.6457, recall: 0.8538, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.8457, kappa: 0.3964, kb_relative_information_score: 1433.5804, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8432, predictive_accuracy: 0.8602, prior_entropy: 0.6457, recall: 0.8602, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8553, kappa: 0.442, kb_relative_information_score: 1938.5373, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8524, predictive_accuracy: 0.8658, prior_entropy: 0.6457, recall: 0.8658, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.8422, kappa: 0.3815, kb_relative_information_score: 1288.6192, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8396, predictive_accuracy: 0.8577, prior_entropy: 0.6457, recall: 0.8577, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8572, kappa: 0.4475, kb_relative_information_score: 1923.315, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8549, predictive_accuracy: 0.8683, prior_entropy: 0.6457, recall: 0.8683, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.8137, kappa: 0.2326, kb_relative_information_score: 971.4027, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8429, predictive_accuracy: 0.8547, prior_entropy: 0.6457, recall: 0.8547, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.8077, kappa: 0.2118, kb_relative_information_score: 404.7774, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8184, predictive_accuracy: 0.8464, prior_entropy: 0.6457, recall: 0.8464, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8569, kappa: 0.4475, kb_relative_information_score: 1924.7282, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8541, predictive_accuracy: 0.8674, prior_entropy: 0.6457, recall: 0.8674, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.8322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8565, kappa: 0.4444, kb_relative_information_score: 1922.0455, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8541, predictive_accuracy: 0.8677, prior_entropy: 0.6457, recall: 0.8677, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8554, kappa: 0.4351, kb_relative_information_score: 1787.5524, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8543, predictive_accuracy: 0.8687, prior_entropy: 0.6457, recall: 0.8687, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8548, kappa: 0.4321, kb_relative_information_score: 1772.8408, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.854, predictive_accuracy: 0.8686, prior_entropy: 0.6457, recall: 0.8686, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8571, kappa: 0.4458, kb_relative_information_score: 1886.9311, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8551, predictive_accuracy: 0.8687, prior_entropy: 0.6457, recall: 0.8687, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.308, root_relative_squared_error: 0.8304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8575, kappa: 0.4457, kb_relative_information_score: 1849.1766, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.856, predictive_accuracy: 0.8698, prior_entropy: 0.6457, recall: 0.8698, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.308, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8512, kappa: 0.4155, kb_relative_information_score: 1610.4492, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8508, predictive_accuracy: 0.8664, prior_entropy: 0.6457, recall: 0.8664, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.8361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8572, kappa: 0.4413, kb_relative_information_score: 1797.1892, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8568, predictive_accuracy: 0.8707, prior_entropy: 0.6457, recall: 0.8707, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.308, root_relative_squared_error: 0.8302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.8206, kappa: 0.2864, kb_relative_information_score: 745.1598, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8166, predictive_accuracy: 0.8432, prior_entropy: 0.6457, recall: 0.8432, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8572, kappa: 0.4413, kb_relative_information_score: 1797.1892, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8568, predictive_accuracy: 0.8707, prior_entropy: 0.6457, recall: 0.8707, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.308, root_relative_squared_error: 0.8302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8545, kappa: 0.4311, kb_relative_information_score: 1730.6969, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8536, predictive_accuracy: 0.8682, prior_entropy: 0.6457, recall: 0.8682, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.8314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8562, kappa: 0.4371, kb_relative_information_score: 1785.0566, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8557, predictive_accuracy: 0.8699, prior_entropy: 0.6457, recall: 0.8699, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8572, kappa: 0.4413, kb_relative_information_score: 1797.1892, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8568, predictive_accuracy: 0.8707, prior_entropy: 0.6457, recall: 0.8707, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.308, root_relative_squared_error: 0.8302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8055, kappa: 0.1964, kb_relative_information_score: 979.8177, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8379, predictive_accuracy: 0.851, prior_entropy: 0.6457, recall: 0.851, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.827, kappa: 0.3408, kb_relative_information_score: 189.8344, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8212, predictive_accuracy: 0.8366, prior_entropy: 0.6457, recall: 0.8366, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.8038, kappa: 0.1954, kb_relative_information_score: -275.0949, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8122, predictive_accuracy: 0.8436, prior_entropy: 0.6457, recall: 0.8436, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8381, kappa: 0.3601, kb_relative_information_score: 1103.4716, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8365, predictive_accuracy: 0.8563, prior_entropy: 0.6457, recall: 0.8563, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8341, kappa: 0.3825, kb_relative_information_score: -147.0481, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8307, predictive_accuracy: 0.8384, prior_entropy: 0.6457, recall: 0.8384, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.8358, kappa: 0.3884, kb_relative_information_score: 2442.2436, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8324, predictive_accuracy: 0.8402, prior_entropy: 0.6457, recall: 0.8402, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3998, root_relative_squared_error: 1.0778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.1605, kappa: 0.0214, kb_relative_information_score: -20466.8615, mean_absolute_error: 0.7769, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8413, predictive_accuracy: 0.2231, prior_entropy: 0.6457, recall: 0.2231, relative_absolute_error: 2.8228, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8814, root_relative_squared_error: 2.3763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.5169, kappa: 0.1487, kb_relative_information_score: -13116.7013, mean_absolute_error: 0.5359, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8551, predictive_accuracy: 0.4731, prior_entropy: 0.6457, recall: 0.4731, relative_absolute_error: 1.9473, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.7314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7241, kappa: 0.3075, kb_relative_information_score: -3641.7932, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8555, predictive_accuracy: 0.6833, prior_entropy: 0.6457, recall: 0.6833, relative_absolute_error: 1.1495, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7225, kappa: 0.3055, kb_relative_information_score: -3451.2012, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8554, predictive_accuracy: 0.6814, prior_entropy: 0.6457, recall: 0.6814, relative_absolute_error: 1.1575, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.5217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.8256, kappa: 0.3016, kb_relative_information_score: 1048.8605, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8256, predictive_accuracy: 0.8501, prior_entropy: 0.6457, recall: 0.8501, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.8879,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8432, kappa: 0.3868, kb_relative_information_score: 1550.3158, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8403, predictive_accuracy: 0.858, prior_entropy: 0.6457, recall: 0.858, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.8346, kappa: 0.3322, kb_relative_information_score: 2097.3923, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8433, predictive_accuracy: 0.8608, prior_entropy: 0.6457, recall: 0.8608, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8432, kappa: 0.3868, kb_relative_information_score: 1550.3158, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8403, predictive_accuracy: 0.858, prior_entropy: 0.6457, recall: 0.858, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8529, kappa: 0.4319, kb_relative_information_score: 1830.955, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8497, predictive_accuracy: 0.8638, prior_entropy: 0.6457, recall: 0.8638, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7603, kb_relative_information_score: -0.7597, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8524, kappa: 0.4262, kb_relative_information_score: 1743.4998, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.85, predictive_accuracy: 0.8649, prior_entropy: 0.6457, recall: 0.8649, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8262, kappa: 0.2904, kb_relative_information_score: 1042.4391, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8592, prior_entropy: 0.6457, recall: 0.8592, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8438, kappa: 0.3899, kb_relative_information_score: 1359.7777, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8409, predictive_accuracy: 0.8582, prior_entropy: 0.6457, recall: 0.8582, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.319, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.8068, kappa: 0.2053, kb_relative_information_score: 481.1758, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8238, predictive_accuracy: 0.8481, prior_entropy: 0.6457, recall: 0.8481, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8172, kappa: 0.25, kb_relative_information_score: 884.4956, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8379, predictive_accuracy: 0.8546, prior_entropy: 0.6457, recall: 0.8546, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.8342, kappa: 0.3273, kb_relative_information_score: 2169.28, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8476, predictive_accuracy: 0.8625, prior_entropy: 0.6457, recall: 0.8625, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.9264,

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