OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 16997 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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16997 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8556, kappa: 0.8513, kb_relative_information_score: 6692.3871, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8671, predictive_accuracy: 0.857, prior_entropy: 4.7004, recall: 0.857, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9091, kappa: 0.906, kb_relative_information_score: 7040.3112, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9144, predictive_accuracy: 0.9096, prior_entropy: 4.7004, recall: 0.9096, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9502, kappa: 0.9482, kb_relative_information_score: 6911.5823, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9504, predictive_accuracy: 0.9502, prior_entropy: 4.7004, recall: 0.9502, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9626, kappa: 0.9611, kb_relative_information_score: 7526.5513, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9627, predictive_accuracy: 0.9626, prior_entropy: 4.7004, recall: 0.9626, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.2466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9753, kappa: 0.9743, kb_relative_information_score: 1654.4293, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 4.7004, recall: 0.9752, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9753, kappa: 0.9743, kb_relative_information_score: 1654.4293, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 4.7004, recall: 0.9752, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8121, kappa: 0.8042, kb_relative_information_score: 6311.3406, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.813, predictive_accuracy: 0.8117, prior_entropy: 4.7004, recall: 0.8117, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9058, kappa: 0.9021, kb_relative_information_score: 6696.3106, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9077, predictive_accuracy: 0.9059, prior_entropy: 4.7004, recall: 0.9059, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.96, kappa: 0.9584, kb_relative_information_score: 7420.7515, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 4.7004, recall: 0.96, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8412, kappa: 0.835, kb_relative_information_score: 6518.8926, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8418, predictive_accuracy: 0.8413, prior_entropy: 4.7004, recall: 0.8413, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.101, root_relative_squared_error: 0.5251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9446, kappa: 0.9422, kb_relative_information_score: 7404.3733, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9453, predictive_accuracy: 0.9445, prior_entropy: 4.7004, recall: 0.9445, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8556, kappa: 0.8513, kb_relative_information_score: 6692.3871, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8671, predictive_accuracy: 0.857, prior_entropy: 4.7004, recall: 0.857, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.7926, kappa: 0.7845, kb_relative_information_score: 6371.0663, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7941, predictive_accuracy: 0.7927, prior_entropy: 4.7004, recall: 0.7927, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.5672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.2609, kappa: 0.3383, kb_relative_information_score: 2446.1481, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.3235, predictive_accuracy: 0.3637, prior_entropy: 4.7004, recall: 0.3637, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.5295, kappa: 0.5252, kb_relative_information_score: 1045.1199, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.5551, predictive_accuracy: 0.5434, prior_entropy: 4.7004, recall: 0.5434, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.2479, kappa: 0.3255, kb_relative_information_score: 1981.2243, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.3028, predictive_accuracy: 0.3514, prior_entropy: 4.7004, recall: 0.3514, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9064, kappa: 0.903, kb_relative_information_score: 6323.0686, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9069, predictive_accuracy: 0.9068, prior_entropy: 4.7004, recall: 0.9068, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9595, kappa: 0.9579, kb_relative_information_score: 7484.6815, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9595, predictive_accuracy: 0.9595, prior_entropy: 4.7004, recall: 0.9595, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.7426, kappa: 0.7318, kb_relative_information_score: 5718.4422, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7455, predictive_accuracy: 0.7421, prior_entropy: 4.7004, recall: 0.7421, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.6495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9197, kappa: 0.9172, kb_relative_information_score: 4466.7269, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9214, predictive_accuracy: 0.9204, prior_entropy: 4.7004, recall: 0.9204, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.7738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9075, kappa: 0.9037, kb_relative_information_score: 7184.2568, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9081, predictive_accuracy: 0.9074, prior_entropy: 4.7004, recall: 0.9074, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.073, root_relative_squared_error: 0.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9195, kappa: 0.917, kb_relative_information_score: 4460.6363, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9207, predictive_accuracy: 0.9202, prior_entropy: 4.7004, recall: 0.9202, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.7744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9201, kappa: 0.9176, kb_relative_information_score: 4462.5332, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9215, predictive_accuracy: 0.9207, prior_entropy: 4.7004, recall: 0.9207, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.92, kappa: 0.9174, kb_relative_information_score: 4459.6183, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9215, predictive_accuracy: 0.9206, prior_entropy: 4.7004, recall: 0.9206, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9231, kappa: 0.9206, kb_relative_information_score: 4465.6636, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9246, predictive_accuracy: 0.9237, prior_entropy: 4.7004, recall: 0.9237, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.7738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.922, kappa: 0.9196, kb_relative_information_score: 4458.7179, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9232, predictive_accuracy: 0.9227, prior_entropy: 4.7004, recall: 0.9227, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.7745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9239, kappa: 0.9214, kb_relative_information_score: 4467.8875, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9251, predictive_accuracy: 0.9245, prior_entropy: 4.7004, recall: 0.9245, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9205, kappa: 0.9181, kb_relative_information_score: 4464.7296, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9223, predictive_accuracy: 0.9213, prior_entropy: 4.7004, recall: 0.9213, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.7738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9228, kappa: 0.9204, kb_relative_information_score: 4483.5568, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9244, predictive_accuracy: 0.9234, prior_entropy: 4.7004, recall: 0.9234, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.7719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.7099, kappa: 0.6994, kb_relative_information_score: 2306.6193, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7957, predictive_accuracy: 0.7109, prior_entropy: 4.7004, recall: 0.7109, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9762, kappa: 0.9752, kb_relative_information_score: 7532.6731, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9762, predictive_accuracy: 0.9761, prior_entropy: 4.7004, recall: 0.9761, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9755, kappa: 0.9745, kb_relative_information_score: 7524.3502, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9756, predictive_accuracy: 0.9755, prior_entropy: 4.7004, recall: 0.9755, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.2121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1677, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1677, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1677, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.0191, kappa: 0.0397, kb_relative_information_score: 954.3039, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0117, predictive_accuracy: 0.0767, prior_entropy: 4.7004, recall: 0.0767, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,

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