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OpenML
Task
Supervised Classification on stock

Supervised Classification on stock

Task 3706 Supervised Classification stock 567 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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567 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9642, kappa: 0.9283, kb_relative_information_score: 862.7081, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9995, recall: 0.9642, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.331, scimark_benchmark: 825.5282, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.833, kappa: 0.6692, kb_relative_information_score: 637.6618, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.854, predictive_accuracy: 0.8358, prior_entropy: 0.9995, recall: 0.8358, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8108, scimark_benchmark: 930.5999, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7225, kappa: 0.4478, kb_relative_information_score: 423.4314, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7279, predictive_accuracy: 0.7232, prior_entropy: 0.9995, recall: 0.7232, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0527, scimark_benchmark: 882.7843, usercpu_time_millis: 600, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8557, kappa: 0.7122, kb_relative_information_score: 677.7049, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8652, predictive_accuracy: 0.8568, prior_entropy: 0.9995, recall: 0.8568, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.757, scimark_benchmark: 938.343, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8451, kappa: 0.6899, kb_relative_information_score: 570.7698, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8458, predictive_accuracy: 0.8453, prior_entropy: 0.9995, recall: 0.8453, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6495, scimark_benchmark: 887.6719, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.7269, kappa: 0.4534, kb_relative_information_score: 431.44, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7278, predictive_accuracy: 0.7274, prior_entropy: 0.9995, recall: 0.7274, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0447, scimark_benchmark: 942.9518, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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: 939.449, usercpu_time_millis: 10070, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 9940,
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: 1350.9691, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
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: 1327.8711, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9547, kappa: 0.9094, kb_relative_information_score: 863.9052, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9548, predictive_accuracy: 0.9547, prior_entropy: 0.9995, recall: 0.9547, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4257, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9495, kappa: 0.8989, kb_relative_information_score: 821.1266, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9495, predictive_accuracy: 0.9495, prior_entropy: 0.9995, recall: 0.9495, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4208, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9495, kappa: 0.8989, kb_relative_information_score: 837.229, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9495, predictive_accuracy: 0.9495, prior_entropy: 0.9995, recall: 0.9495, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4201, scimark_benchmark: 1327.6929, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9537, kappa: 0.9074, kb_relative_information_score: 861.9031, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9539, predictive_accuracy: 0.9537, prior_entropy: 0.9995, recall: 0.9537, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4306, scimark_benchmark: 1341.5768, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.6526, kappa: 0.3618, kb_relative_information_score: 353.356, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.7849, predictive_accuracy: 0.6863, prior_entropy: 0.9995, recall: 0.6863, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.1206, scimark_benchmark: 1355.7054, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.939, kappa: 0.8779, kb_relative_information_score: 821.8858, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9394, predictive_accuracy: 0.9389, prior_entropy: 0.9995, recall: 0.9389, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4601, scimark_benchmark: 1358.4523, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.8547, kappa: 0.7092, kb_relative_information_score: 673.7006, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8547, predictive_accuracy: 0.8547, prior_entropy: 0.9995, recall: 0.8547, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7626, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9442, kappa: 0.8883, kb_relative_information_score: 843.8837, mean_absolute_error: 0.0558, 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: 0.1117, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4726, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1445.6675,
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: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8458, kappa: 0.693, kb_relative_information_score: 596.5772, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8577, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6721, scimark_benchmark: 931.2336, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8492, kappa: 0.6995, kb_relative_information_score: 659.1771, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8596, predictive_accuracy: 0.8505, prior_entropy: 0.9995, recall: 0.8505, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6932, scimark_benchmark: 945.6434, usercpu_time_millis: 250, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8777, kappa: 0.7552, kb_relative_information_score: 690.8792, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.879, predictive_accuracy: 0.8779, prior_entropy: 0.9995, recall: 0.8779, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6167, scimark_benchmark: 941.7954, usercpu_time_millis: 440, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8733, kappa: 0.7466, kb_relative_information_score: 671.14, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8758, predictive_accuracy: 0.8737, prior_entropy: 0.9995, recall: 0.8737, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5759, scimark_benchmark: 923.7642, usercpu_time_millis: 770, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8766, kappa: 0.753, kb_relative_information_score: 669.2433, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.8787, predictive_accuracy: 0.8768, prior_entropy: 0.9995, recall: 0.8768, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.5727, scimark_benchmark: 894.7455, usercpu_time_millis: 340, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 240,
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: 936.7115, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
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: 936.7115, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
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: 942.1229, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
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: 922.9039, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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: 938.4278, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9537, kappa: 0.9073, kb_relative_information_score: 854.2239, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9538, predictive_accuracy: 0.9537, prior_entropy: 0.9995, recall: 0.9537, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3599, scimark_benchmark: 938.4285, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.96, kappa: 0.9199, kb_relative_information_score: 844.0177, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.9995, recall: 0.96, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3555, scimark_benchmark: 924.6116, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9547, kappa: 0.9094, kb_relative_information_score: 825.0013, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9549, predictive_accuracy: 0.9547, prior_entropy: 0.9995, recall: 0.9547, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3653, scimark_benchmark: 945.6434, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 1.3404, build_memory: 290599724, f_measure: 0.9632, kappa: 0.9263, kb_relative_information_score: 879.8088, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9633, predictive_accuracy: 0.9632, prior_entropy: 0.9995, recall: 0.9632, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3729, scimark_benchmark: 944.4197,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 1.3644, build_memory: 823361801.6, f_measure: 0.9705, kappa: 0.941, kb_relative_information_score: 893.2404, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.9995, recall: 0.9705, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3409, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, build_cpu_time: 1.3236, build_memory: 770938141.6, f_measure: 0.9695, kappa: 0.9389, kb_relative_information_score: 890.8505, mean_absolute_error: 0.0312, 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: 0.0624, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3475, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, build_cpu_time: 0.7042, build_memory: 2369613742.4, f_measure: 0.9663, kappa: 0.9326, kb_relative_information_score: 884.7548, mean_absolute_error: 0.0344, 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: 0.0688, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3663, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, build_cpu_time: 0.4737, build_memory: 561484909.6, f_measure: 0.9653, kappa: 0.9305, kb_relative_information_score: 885.8217, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4996, number_of_instances: 950, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9995, recall: 0.9653, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.354, scimark_benchmark: 919.5971,

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