OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14672 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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14672 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8986, kappa: 0.8944, kb_relative_information_score: 6741.2779, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8998, predictive_accuracy: 0.8984, prior_entropy: 4.7004, recall: 0.8984, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.4424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9212, kappa: 0.9181, kb_relative_information_score: 6690.2652, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9217, predictive_accuracy: 0.9213, prior_entropy: 4.7004, recall: 0.9213, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.4444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9209, kappa: 0.9177, kb_relative_information_score: 6943.8984, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9213, predictive_accuracy: 0.9209, prior_entropy: 4.7004, recall: 0.9209, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9163, kappa: 0.9129, kb_relative_information_score: 6830.809, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9169, predictive_accuracy: 0.9162, prior_entropy: 4.7004, recall: 0.9162, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9368, kappa: 0.9342, kb_relative_information_score: 6982.5731, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.937, predictive_accuracy: 0.9368, prior_entropy: 4.7004, recall: 0.9368, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.4709, kappa: 0.4462, kb_relative_information_score: 1698.6688, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.4847, predictive_accuracy: 0.4675, prior_entropy: 4.7004, recall: 0.4675, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9413, kappa: 0.9389, kb_relative_information_score: 7022.8132, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9415, predictive_accuracy: 0.9413, prior_entropy: 4.7004, recall: 0.9413, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9636, kappa: 0.9621, kb_relative_information_score: 49.7776, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 4.7004, recall: 0.9636, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, kappa: 0.0005, kb_relative_information_score: 38.7377, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0387, prior_entropy: 4.7004, recall: 0.0387, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0002, kb_relative_information_score: 25.8435, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, 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: 0.989, f_measure: 0.7245, kappa: 0.7467, kb_relative_information_score: 5712.1782, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8007, predictive_accuracy: 0.7564, prior_entropy: 4.7004, recall: 0.7564, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.6662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9591, kappa: 0.9575, kb_relative_information_score: 7413.9704, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9593, predictive_accuracy: 0.9591, prior_entropy: 4.7004, recall: 0.9591, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.969, kappa: 0.9677, kb_relative_information_score: 7464.8081, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 4.7004, recall: 0.969, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.7719, kappa: 0.7848, kb_relative_information_score: 6163.9075, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8305, predictive_accuracy: 0.7931, prior_entropy: 4.7004, recall: 0.7931, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.5333, kappa: 0.3927, kb_relative_information_score: 3188.9543, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9263, predictive_accuracy: 0.4161, prior_entropy: 4.7004, recall: 0.4161, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2119, root_relative_squared_error: 1.1021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.975, kappa: 0.974, kb_relative_information_score: 7497.5033, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 4.7004, recall: 0.975, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0429, root_relative_squared_error: 0.2232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9348, kappa: 0.932, kb_relative_information_score: 7277.4883, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9356, predictive_accuracy: 0.9346, prior_entropy: 4.7004, recall: 0.9346, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.3388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9704, kappa: 0.9692, kb_relative_information_score: 7469.201, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 4.7004, recall: 0.9704, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.2367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.8602, kappa: 0.8169, kb_relative_information_score: 6204.388, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9284, predictive_accuracy: 0.8239, prior_entropy: 4.7004, recall: 0.8239, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.5215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9484, kappa: 0.9464, kb_relative_information_score: 26.5355, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.949, predictive_accuracy: 0.9484, prior_entropy: 4.7004, recall: 0.9484, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9754, kappa: 0.9744, kb_relative_information_score: 7503.1784, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 4.7004, recall: 0.9754, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9689, kappa: 0.9676, kb_relative_information_score: 7469.8785, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.969, predictive_accuracy: 0.9688, prior_entropy: 4.7004, recall: 0.9688, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.2383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9635, kappa: 0.962, kb_relative_information_score: 7438.271, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9637, predictive_accuracy: 0.9634, prior_entropy: 4.7004, recall: 0.9634, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.049, root_relative_squared_error: 0.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, kappa: -0.0014, kb_relative_information_score: 124.0514, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0369, prior_entropy: 4.7004, recall: 0.0369, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9696, kappa: 0.9684, kb_relative_information_score: 7470.7831, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 4.7004, recall: 0.9696, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9265, kappa: 0.9236, kb_relative_information_score: 7032.7954, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9269, predictive_accuracy: 0.9265, prior_entropy: 4.7004, recall: 0.9265, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9753, kappa: 0.9743, kb_relative_information_score: 7510.9978, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 4.7004, recall: 0.9752, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.2173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, kappa: 0.7796, kb_relative_information_score: 6124.4404, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7881, prior_entropy: 4.7004, recall: 0.7881, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.6639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8985, kappa: 0.8941, kb_relative_information_score: 7047.3059, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8992, predictive_accuracy: 0.8982, prior_entropy: 4.7004, recall: 0.8982, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, kappa: 0.0233, kb_relative_information_score: 386.8046, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0609, prior_entropy: 4.7004, recall: 0.0609, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2688, root_relative_squared_error: 1.3976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.7625, kappa: 0.6647, kb_relative_information_score: 2311.5487, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9312, predictive_accuracy: 0.6776, prior_entropy: 4.7004, recall: 0.6776, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.172, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9457, kappa: 0.9436, kb_relative_information_score: 33.3627, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9461, predictive_accuracy: 0.9457, prior_entropy: 4.7004, recall: 0.9457, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9524, kappa: 0.9486, kb_relative_information_score: 7407.3577, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9575, predictive_accuracy: 0.9506, prior_entropy: 4.7004, recall: 0.9506, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.3205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.1761, kappa: 0.1674, kb_relative_information_score: 822.3408, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.235, predictive_accuracy: 0.1994, prior_entropy: 4.7004, recall: 0.1994, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.416, kappa: 0.2949, kb_relative_information_score: 2447.1296, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8942, predictive_accuracy: 0.322, prior_entropy: 4.7004, recall: 0.322, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2284, root_relative_squared_error: 1.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9762, kappa: 0.9752, kb_relative_information_score: 7518.4581, mean_absolute_error: 0.0062, 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: 0.0841, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.2141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9141, kappa: 0.9105, kb_relative_information_score: 7048.8477, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9148, predictive_accuracy: 0.9139, prior_entropy: 4.7004, recall: 0.9139, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9691, kappa: 0.9679, kb_relative_information_score: 7473.431, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 4.7004, recall: 0.9691, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9064, kappa: 0.9026, kb_relative_information_score: 6745.1031, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9071, predictive_accuracy: 0.9064, prior_entropy: 4.7004, recall: 0.9064, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.6385, kappa: 0.6764, kb_relative_information_score: 4108.9228, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7109, predictive_accuracy: 0.6889, prior_entropy: 4.7004, recall: 0.6889, relative_absolute_error: 0.7737, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9728, kappa: 0.9717, kb_relative_information_score: 7487.9281, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 4.7004, recall: 0.9728, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0439, root_relative_squared_error: 0.2284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9703, kappa: 0.9691, kb_relative_information_score: 7472.0522, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 4.7004, recall: 0.9702, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8215, kappa: 0.8265, kb_relative_information_score: 6480.1556, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8484, predictive_accuracy: 0.8331, prior_entropy: 4.7004, recall: 0.8331, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9763, kappa: 0.9753, kb_relative_information_score: 7516.2262, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9764, predictive_accuracy: 0.9763, prior_entropy: 4.7004, recall: 0.9763, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.8691, kappa: 0.865, kb_relative_information_score: 9.5653, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8762, predictive_accuracy: 0.8702, prior_entropy: 4.7004, recall: 0.8702, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9491, kappa: 0.947, kb_relative_information_score: 16.2407, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9495, predictive_accuracy: 0.9491, prior_entropy: 4.7004, recall: 0.9491, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9709, kappa: 0.9697, kb_relative_information_score: 7471.4967, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.971, predictive_accuracy: 0.9709, prior_entropy: 4.7004, recall: 0.9709, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8077, kappa: 0.8082, kb_relative_information_score: 2701.9696, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8445, predictive_accuracy: 0.8156, prior_entropy: 4.7004, recall: 0.8156, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 21.2336, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, 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