Task
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 3510 Supervised Classification JapaneseVowels 10143 runs submitted
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  • OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 under100k under1m
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10143 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8537, kappa: 0.8348, kb_relative_information_score: 8505.0214, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8533, predictive_accuracy: 0.8542, prior_entropy: 3.1321, recall: 0.8542, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8534, kappa: 0.8342, kb_relative_information_score: 8467.6606, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 3.1321, recall: 0.8536, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.158, root_relative_squared_error: 0.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8543, kappa: 0.8355, kb_relative_information_score: 8506.2761, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.854, predictive_accuracy: 0.8548, prior_entropy: 3.1321, recall: 0.8548, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8298, kappa: 0.808, kb_relative_information_score: 8221.6332, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8296, predictive_accuracy: 0.8305, prior_entropy: 3.1321, recall: 0.8305, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.5225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8853, kappa: 0.8702, kb_relative_information_score: 8794.3818, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8853, predictive_accuracy: 0.8855, prior_entropy: 3.1321, recall: 0.8855, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8808, kappa: 0.8655, kb_relative_information_score: 8784.5525, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8807, predictive_accuracy: 0.8813, prior_entropy: 3.1321, recall: 0.8813, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8487, kappa: 0.829, kb_relative_information_score: 8403.2492, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8484, predictive_accuracy: 0.8491, prior_entropy: 3.1321, recall: 0.8491, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.5063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8342, kappa: 0.8131, kb_relative_information_score: 8250.0064, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8339, predictive_accuracy: 0.8351, prior_entropy: 3.1321, recall: 0.8351, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.5193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8749, kappa: 0.8583, kb_relative_information_score: 8665.8426, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.875, predictive_accuracy: 0.8749, prior_entropy: 3.1321, recall: 0.8749, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.5016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.847, kappa: 0.8274, kb_relative_information_score: 8393.3172, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8465, predictive_accuracy: 0.8477, prior_entropy: 3.1321, recall: 0.8477, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8448, kappa: 0.8254, kb_relative_information_score: 8369.5255, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8444, predictive_accuracy: 0.8459, prior_entropy: 3.1321, recall: 0.8459, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8446, kappa: 0.8245, kb_relative_information_score: 8349.2652, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8442, predictive_accuracy: 0.8451, prior_entropy: 3.1321, recall: 0.8451, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.16, root_relative_squared_error: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8286, kappa: 0.8068, kb_relative_information_score: 8199.0843, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8281, predictive_accuracy: 0.8294, prior_entropy: 3.1321, recall: 0.8294, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8628, kappa: 0.8449, kb_relative_information_score: 8605.4756, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8626, predictive_accuracy: 0.8631, prior_entropy: 3.1321, recall: 0.8631, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8297, kappa: 0.8079, kb_relative_information_score: 8219.4671, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8295, predictive_accuracy: 0.8304, prior_entropy: 3.1321, recall: 0.8304, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8463, kappa: 0.8266, kb_relative_information_score: 8391.855, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8458, predictive_accuracy: 0.847, prior_entropy: 3.1321, recall: 0.847, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.5027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8342, kappa: 0.8131, kb_relative_information_score: 8249.4054, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8338, predictive_accuracy: 0.8351, prior_entropy: 3.1321, recall: 0.8351, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.5192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8767, kappa: 0.8605, kb_relative_information_score: 8721.5965, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8766, predictive_accuracy: 0.8769, prior_entropy: 3.1321, recall: 0.8769, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.149, root_relative_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.8469, kappa: 0.8273, kb_relative_information_score: 8389.0052, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8464, predictive_accuracy: 0.8476, prior_entropy: 3.1321, recall: 0.8476, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.818, kappa: 0.7953, kb_relative_information_score: 7993.3891, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8174, predictive_accuracy: 0.8194, prior_entropy: 3.1321, recall: 0.8194, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8592, kappa: 0.8408, kb_relative_information_score: 8528.22, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8591, predictive_accuracy: 0.8595, prior_entropy: 3.1321, recall: 0.8595, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8607, kappa: 0.8425, kb_relative_information_score: 8572.0528, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8607, predictive_accuracy: 0.861, prior_entropy: 3.1321, recall: 0.861, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8506, kappa: 0.8312, kb_relative_information_score: 8459.0802, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8505, predictive_accuracy: 0.851, prior_entropy: 3.1321, recall: 0.851, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8655, kappa: 0.8479, kb_relative_information_score: 8619.6141, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8654, predictive_accuracy: 0.8658, prior_entropy: 3.1321, recall: 0.8658, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.4966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.858, kappa: 0.8392, kb_relative_information_score: 8498.3655, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 3.1321, recall: 0.858, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8596, kappa: 0.8413, kb_relative_information_score: 8564.8228, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8595, predictive_accuracy: 0.86, prior_entropy: 3.1321, recall: 0.86, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8344, kappa: 0.8132, kb_relative_information_score: 8231.9715, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8339, predictive_accuracy: 0.8352, prior_entropy: 3.1321, recall: 0.8352, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8528, kappa: 0.8338, kb_relative_information_score: 8491.9072, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8526, predictive_accuracy: 0.8533, prior_entropy: 3.1321, recall: 0.8533, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8627, kappa: 0.845, kb_relative_information_score: 8587.92, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8625, predictive_accuracy: 0.8632, prior_entropy: 3.1321, recall: 0.8632, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8316, kappa: 0.8101, kb_relative_information_score: 8194.1436, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.831, predictive_accuracy: 0.8324, prior_entropy: 3.1321, recall: 0.8324, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.5259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8486, kappa: 0.8288, kb_relative_information_score: 8437.684, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8484, predictive_accuracy: 0.8489, prior_entropy: 3.1321, recall: 0.8489, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8351, kappa: 0.814, kb_relative_information_score: 8238.796, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8346, predictive_accuracy: 0.8359, prior_entropy: 3.1321, recall: 0.8359, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.5211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8507, kappa: 0.8313, kb_relative_information_score: 8426.961, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8504, predictive_accuracy: 0.8511, prior_entropy: 3.1321, recall: 0.8511, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.834, kappa: 0.8129, kb_relative_information_score: 8249.4797, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8336, predictive_accuracy: 0.8349, prior_entropy: 3.1321, recall: 0.8349, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.5194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.846, kappa: 0.826, kb_relative_information_score: 8367.7143, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8458, predictive_accuracy: 0.8464, prior_entropy: 3.1321, recall: 0.8464, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8542, kappa: 0.8354, kb_relative_information_score: 8500.0564, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8539, predictive_accuracy: 0.8547, prior_entropy: 3.1321, recall: 0.8547, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8503, kappa: 0.8309, kb_relative_information_score: 8443.1906, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8501, predictive_accuracy: 0.8507, prior_entropy: 3.1321, recall: 0.8507, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8755, kappa: 0.8592, kb_relative_information_score: 8673.645, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8755, predictive_accuracy: 0.8757, prior_entropy: 3.1321, recall: 0.8757, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8205, kappa: 0.7983, kb_relative_information_score: 8045.8786, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8196, predictive_accuracy: 0.822, prior_entropy: 3.1321, recall: 0.822, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.5394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8461, kappa: 0.8264, kb_relative_information_score: 8389.0977, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8456, predictive_accuracy: 0.8468, prior_entropy: 3.1321, recall: 0.8468, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8295, kappa: 0.8077, kb_relative_information_score: 8218.7695, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8293, predictive_accuracy: 0.8302, prior_entropy: 3.1321, recall: 0.8302, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.5232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8369, kappa: 0.8162, kb_relative_information_score: 8280.5137, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8364, predictive_accuracy: 0.8378, prior_entropy: 3.1321, recall: 0.8378, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8374, kappa: 0.8167, kb_relative_information_score: 8283.6229, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8369, predictive_accuracy: 0.8383, prior_entropy: 3.1321, recall: 0.8383, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.849, kappa: 0.8294, kb_relative_information_score: 8416.4856, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8488, predictive_accuracy: 0.8494, prior_entropy: 3.1321, recall: 0.8494, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8178, kappa: 0.7949, kb_relative_information_score: 7993.6292, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8171, predictive_accuracy: 0.8191, prior_entropy: 3.1321, recall: 0.8191, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8543, kappa: 0.8353, kb_relative_information_score: 8496.968, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8544, predictive_accuracy: 0.8546, prior_entropy: 3.1321, recall: 0.8546, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5021,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8296, kappa: 0.8078, kb_relative_information_score: 8222.8575, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8294, predictive_accuracy: 0.8303, prior_entropy: 3.1321, recall: 0.8303, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.5225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8248, kappa: 0.8029, kb_relative_information_score: 8122.786, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8241, predictive_accuracy: 0.8261, prior_entropy: 3.1321, recall: 0.8261, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8448, kappa: 0.8254, kb_relative_information_score: 8364.5229, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8444, predictive_accuracy: 0.8459, prior_entropy: 3.1321, recall: 0.8459, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8373, kappa: 0.8166, kb_relative_information_score: 8282.6872, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8368, predictive_accuracy: 0.8382, prior_entropy: 3.1321, recall: 0.8382, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8447, kappa: 0.8252, kb_relative_information_score: 8363.3703, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8442, predictive_accuracy: 0.8457, prior_entropy: 3.1321, recall: 0.8457, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8844, kappa: 0.8693, kb_relative_information_score: 8800.0899, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8843, predictive_accuracy: 0.8847, prior_entropy: 3.1321, recall: 0.8847, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8449, kappa: 0.8248, kb_relative_information_score: 8348.4442, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8445, predictive_accuracy: 0.8454, prior_entropy: 3.1321, recall: 0.8454, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.5107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8609, kappa: 0.8424, kb_relative_information_score: 8542.9118, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8612, predictive_accuracy: 0.8609, prior_entropy: 3.1321, recall: 0.8609, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8296, kappa: 0.8078, kb_relative_information_score: 8219.8194, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8294, predictive_accuracy: 0.8303, prior_entropy: 3.1321, recall: 0.8303, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8344, kappa: 0.8134, kb_relative_information_score: 8248.6186, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.834, predictive_accuracy: 0.8353, prior_entropy: 3.1321, recall: 0.8353, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.5191,

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