OpenML
Supervised Classification on stock

Supervised Classification on stock

Task 3706 Supervised Classification stock 567 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9252, kappa: 0.8503, kb_relative_information_score: 703.6679, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9259, predictive_accuracy: 0.9253, prior_entropy: 0.9995, recall: 0.9253, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4714, scimark_benchmark: 941.7976, usercpu_time_millis: 8170, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 8050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9484, kappa: 0.8968, kb_relative_information_score: 828.8413, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9485, predictive_accuracy: 0.9484, prior_entropy: 0.9995, recall: 0.9484, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4244, scimark_benchmark: 934.695, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9695, kappa: 0.9389, kb_relative_information_score: 853.6078, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9995, recall: 0.9695, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.2996, scimark_benchmark: 938.988, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9663, kappa: 0.9326, kb_relative_information_score: 833.6828, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.9995, recall: 0.9663, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3224, scimark_benchmark: 936.9595, usercpu_time_millis: 3550, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9684, kappa: 0.9368, kb_relative_information_score: 834.6772, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9995, recall: 0.9684, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.324, scimark_benchmark: 939.8002, usercpu_time_millis: 1770, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9632, kappa: 0.9263, kb_relative_information_score: 833.4077, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9995, recall: 0.9632, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3274, scimark_benchmark: 939.3535, usercpu_time_millis: 880, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9579, kappa: 0.9157, kb_relative_information_score: 829.6421, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.9995, recall: 0.9579, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3367, scimark_benchmark: 939.5607, usercpu_time_millis: 440, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9611, kappa: 0.9221, kb_relative_information_score: 832.8069, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9995, recall: 0.9611, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3423, scimark_benchmark: 899.1108, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9463, kappa: 0.8925, kb_relative_information_score: 801.2489, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9995, recall: 0.9463, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4152, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9463, kappa: 0.8925, kb_relative_information_score: 801.2489, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9995, recall: 0.9463, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4152, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9463, kappa: 0.8925, kb_relative_information_score: 801.2489, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9995, recall: 0.9463, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4152, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9463, kappa: 0.8925, kb_relative_information_score: 801.2489, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9995, recall: 0.9463, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4152, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9357, kappa: 0.8713, kb_relative_information_score: 788.7734, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9367, predictive_accuracy: 0.9358, prior_entropy: 0.9995, recall: 0.9358, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4161, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.3486, kb_relative_information_score: -0.0116, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.2639, predictive_accuracy: 0.5137, prior_entropy: 0.9995, recall: 0.5137, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9516, kappa: 0.9032, kb_relative_information_score: 853.635, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9519, predictive_accuracy: 0.9516, prior_entropy: 0.9995, recall: 0.9516, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4022, scimark_benchmark: 936.1714, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9474, kappa: 0.8947, kb_relative_information_score: 840.3305, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9995, recall: 0.9474, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4225, scimark_benchmark: 936.1714, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9241, kappa: 0.8487, kb_relative_information_score: 801.0958, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9292, predictive_accuracy: 0.9242, prior_entropy: 0.9995, recall: 0.9242, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.4754, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9284, kappa: 0.8567, kb_relative_information_score: 742.0713, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9285, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.254, root_relative_squared_error: 0.5083, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8252, kappa: 0.6619, kb_relative_information_score: 623.1465, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8737, predictive_accuracy: 0.8295, prior_entropy: 0.9995, recall: 0.8295, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8162, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3486, kb_relative_information_score: 25.0028, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.2639, predictive_accuracy: 0.5137, prior_entropy: 0.9995, recall: 0.5137, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6974, root_relative_squared_error: 1.3953, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9558, kappa: 0.9115, kb_relative_information_score: 852.3597, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9558, predictive_accuracy: 0.9558, prior_entropy: 0.9995, recall: 0.9558, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4092, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9737, kappa: 0.9473, kb_relative_information_score: 782.6218, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.9995, recall: 0.9737, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3581, scimark_benchmark: 924.4107, usercpu_time_millis: 730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.8241, kappa: 0.6598, kb_relative_information_score: 491.7234, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8732, predictive_accuracy: 0.8284, prior_entropy: 0.9995, recall: 0.8284, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.714, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9421, kappa: 0.8841, kb_relative_information_score: 806.5048, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9995, recall: 0.9421, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4372, scimark_benchmark: 907.1091, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9442, kappa: 0.8883, kb_relative_information_score: 752.3294, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9442, predictive_accuracy: 0.9442, prior_entropy: 0.9995, recall: 0.9442, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4282, scimark_benchmark: 926.4745, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9368, kappa: 0.8736, kb_relative_information_score: 770.0302, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9369, predictive_accuracy: 0.9368, prior_entropy: 0.9995, recall: 0.9368, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4245, scimark_benchmark: 907.1091, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9484, kappa: 0.8968, kb_relative_information_score: 817.9413, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9485, predictive_accuracy: 0.9484, prior_entropy: 0.9995, recall: 0.9484, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3782, scimark_benchmark: 922.5036, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9252, kappa: 0.8503, kb_relative_information_score: 703.6679, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9259, predictive_accuracy: 0.9253, prior_entropy: 0.9995, recall: 0.9253, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4714, scimark_benchmark: 910.6607, usercpu_time_millis: 10480, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 952.4682, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9484, kappa: 0.8968, kb_relative_information_score: 828.8413, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9485, predictive_accuracy: 0.9484, prior_entropy: 0.9995, recall: 0.9484, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4244, scimark_benchmark: 946.9304, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9695, kappa: 0.9389, kb_relative_information_score: 853.6078, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9995, recall: 0.9695, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.2996, scimark_benchmark: 942.3809, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9421, kappa: 0.8841, kb_relative_information_score: 806.5048, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9995, recall: 0.9421, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4372, scimark_benchmark: 901.8743, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9442, kappa: 0.8883, kb_relative_information_score: 752.3294, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9442, predictive_accuracy: 0.9442, prior_entropy: 0.9995, recall: 0.9442, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4282, scimark_benchmark: 1310.3168, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9453, kappa: 0.8904, kb_relative_information_score: 838.9719, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 0.9995, recall: 0.9453, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4247, scimark_benchmark: 1345.7919, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9368, kappa: 0.8736, kb_relative_information_score: 770.0302, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9369, predictive_accuracy: 0.9368, prior_entropy: 0.9995, recall: 0.9368, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4245, scimark_benchmark: 1314.2279, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8893, kappa: 0.7795, kb_relative_information_score: 730.4131, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 0.9995, recall: 0.8895, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6023, scimark_benchmark: 1325.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 1366.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 1329.5628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9484, kappa: 0.8968, kb_relative_information_score: 817.9413, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9485, predictive_accuracy: 0.9484, prior_entropy: 0.9995, recall: 0.9484, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3782, scimark_benchmark: 1338.6409, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9252, kappa: 0.8503, kb_relative_information_score: 703.6679, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9259, predictive_accuracy: 0.9253, prior_entropy: 0.9995, recall: 0.9253, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4714, scimark_benchmark: 1314.2279, usercpu_time_millis: 5680, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 5560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9484, kappa: 0.8968, kb_relative_information_score: 828.8413, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9485, predictive_accuracy: 0.9484, prior_entropy: 0.9995, recall: 0.9484, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4244, scimark_benchmark: 1325.6322, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9421, kappa: 0.8841, kb_relative_information_score: 806.5048, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9995, recall: 0.9421, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4372, scimark_benchmark: 1318.3027, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9442, kappa: 0.8883, kb_relative_information_score: 752.3294, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9442, predictive_accuracy: 0.9442, prior_entropy: 0.9995, recall: 0.9442, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4282, scimark_benchmark: 1360.6367, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9368, kappa: 0.8736, kb_relative_information_score: 770.0302, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9369, predictive_accuracy: 0.9368, prior_entropy: 0.9995, recall: 0.9368, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4245, scimark_benchmark: 1260.1387, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9684, kappa: 0.9368, kb_relative_information_score: 889.9332, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9995, recall: 0.9684, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3555, scimark_benchmark: 1325.6322, usercpu_time_millis: 250, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9484, kappa: 0.8968, kb_relative_information_score: 828.8413, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9485, predictive_accuracy: 0.9484, prior_entropy: 0.9995, recall: 0.9484, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4244, scimark_benchmark: 1330.9181, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9684, kappa: 0.9368, kb_relative_information_score: 889.9332, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9995, recall: 0.9684, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3555, scimark_benchmark: 1335.7955, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9695, kappa: 0.9389, kb_relative_information_score: 853.6078, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9995, recall: 0.9695, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.2996, scimark_benchmark: 1326.8946, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9421, kappa: 0.8841, kb_relative_information_score: 806.5048, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9995, recall: 0.9421, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4372, scimark_benchmark: 1320.9387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9252, kappa: 0.8503, kb_relative_information_score: 703.6679, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9259, predictive_accuracy: 0.9253, prior_entropy: 0.9995, recall: 0.9253, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4714, scimark_benchmark: 1347.5461, usercpu_time_millis: 7620, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 7500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8893, kappa: 0.7795, kb_relative_information_score: 730.4131, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 0.9995, recall: 0.8895, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6023, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9283, kappa: 0.8565, kb_relative_information_score: 806.8244, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9298, predictive_accuracy: 0.9284, prior_entropy: 0.9995, recall: 0.9284, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4535, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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