Task
Supervised Classification on hip

Supervised Classification on hip

Task 4466 Supervised Classification hip 239 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7345, kappa: 0.4701, kb_relative_information_score: 223.1796, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7419, predictive_accuracy: 0.737, prior_entropy: 0.9991, recall: 0.737, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8437, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7884, kappa: 0.5762, kb_relative_information_score: 228.6037, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7897, predictive_accuracy: 0.7889, prior_entropy: 0.9991, recall: 0.7889, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8116, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7436, kappa: 0.4866, kb_relative_information_score: 243.0161, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7453, predictive_accuracy: 0.7444, prior_entropy: 0.9991, recall: 0.7444, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.8978, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.464, kappa: 0.0903, kb_relative_information_score: 63.086, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.6423, predictive_accuracy: 0.5593, prior_entropy: 0.9991, recall: 0.5593, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3287, scimark_benchmark: 904.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7476, kappa: 0.4944, kb_relative_information_score: 178.1264, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7486, predictive_accuracy: 0.7481, prior_entropy: 0.9991, recall: 0.7481, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8333, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8407, kappa: 0.681, kb_relative_information_score: 298.3874, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8407, predictive_accuracy: 0.8407, prior_entropy: 0.9991, recall: 0.8407, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6697, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7397, kappa: 0.4789, kb_relative_information_score: 202.8276, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7421, predictive_accuracy: 0.7407, prior_entropy: 0.9991, recall: 0.7407, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8805, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.796, kappa: 0.5912, kb_relative_information_score: 255.4798, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7967, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7396, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.464, kappa: 0.0903, kb_relative_information_score: 63.086, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.6423, predictive_accuracy: 0.5593, prior_entropy: 0.9991, recall: 0.5593, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3287, scimark_benchmark: 938.5498, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.464, kappa: 0.0903, kb_relative_information_score: 63.086, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.6423, predictive_accuracy: 0.5593, prior_entropy: 0.9991, recall: 0.5593, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3287, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7607, kappa: 0.5206, kb_relative_information_score: 260.6474, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7614, predictive_accuracy: 0.7611, prior_entropy: 0.9991, recall: 0.7611, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8076, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.796, kappa: 0.5912, kb_relative_information_score: 255.4798, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7967, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7396, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7345, kappa: 0.4701, kb_relative_information_score: 223.1796, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7419, predictive_accuracy: 0.737, prior_entropy: 0.9991, recall: 0.737, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8437, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7884, kappa: 0.5762, kb_relative_information_score: 228.6037, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7897, predictive_accuracy: 0.7889, prior_entropy: 0.9991, recall: 0.7889, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8116, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7436, kappa: 0.4866, kb_relative_information_score: 243.0161, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7453, predictive_accuracy: 0.7444, prior_entropy: 0.9991, recall: 0.7444, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.8978, scimark_benchmark: 940.1541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.464, kappa: 0.0903, kb_relative_information_score: 63.086, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.6423, predictive_accuracy: 0.5593, prior_entropy: 0.9991, recall: 0.5593, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3287, scimark_benchmark: 943.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.464, kappa: 0.0903, kb_relative_information_score: 63.086, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.6423, predictive_accuracy: 0.5593, prior_entropy: 0.9991, recall: 0.5593, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3287, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7607, kappa: 0.5206, kb_relative_information_score: 260.6474, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7614, predictive_accuracy: 0.7611, prior_entropy: 0.9991, recall: 0.7611, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8076, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7476, kappa: 0.4944, kb_relative_information_score: 178.1264, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7486, predictive_accuracy: 0.7481, prior_entropy: 0.9991, recall: 0.7481, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8333, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8407, kappa: 0.681, kb_relative_information_score: 298.3874, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8407, predictive_accuracy: 0.8407, prior_entropy: 0.9991, recall: 0.8407, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6697, scimark_benchmark: 919.3788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7397, kappa: 0.4789, kb_relative_information_score: 202.8276, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7421, predictive_accuracy: 0.7407, prior_entropy: 0.9991, recall: 0.7407, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8805, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.796, kappa: 0.5912, kb_relative_information_score: 255.4798, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7967, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7396, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8925, kappa: 0.7847, kb_relative_information_score: 313.075, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8927, predictive_accuracy: 0.8926, prior_entropy: 0.9991, recall: 0.8926, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6297, scimark_benchmark: 945.6228, usercpu_time_millis: 260, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.887, kappa: 0.7735, kb_relative_information_score: 312.7842, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8872, predictive_accuracy: 0.887, prior_entropy: 0.9991, recall: 0.887, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6329, scimark_benchmark: 934.695, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8796, kappa: 0.7589, kb_relative_information_score: 309.171, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8796, predictive_accuracy: 0.8796, prior_entropy: 0.9991, recall: 0.8796, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6391, scimark_benchmark: 593.4115, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8907, kappa: 0.7812, kb_relative_information_score: 315.4068, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8907, predictive_accuracy: 0.8907, prior_entropy: 0.9991, recall: 0.8907, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6354, scimark_benchmark: 931.6751, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8591, kappa: 0.7177, kb_relative_information_score: 314.0452, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8597, predictive_accuracy: 0.8593, prior_entropy: 0.9991, recall: 0.8593, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6503, scimark_benchmark: 862.7006, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8367, kappa: 0.6729, kb_relative_information_score: 328.7616, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8379, predictive_accuracy: 0.837, prior_entropy: 0.9991, recall: 0.837, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7398, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8367, kappa: 0.6729, kb_relative_information_score: 328.7616, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8379, predictive_accuracy: 0.837, prior_entropy: 0.9991, recall: 0.837, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7398, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8367, kappa: 0.6729, kb_relative_information_score: 328.6993, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8379, predictive_accuracy: 0.837, prior_entropy: 0.9991, recall: 0.837, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7402, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8386, kappa: 0.6767, kb_relative_information_score: 331.2006, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8396, predictive_accuracy: 0.8389, prior_entropy: 0.9991, recall: 0.8389, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7321, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8387, kappa: 0.6768, kb_relative_information_score: 317.7657, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8394, predictive_accuracy: 0.8389, prior_entropy: 0.9991, recall: 0.8389, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7486, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4231, f_measure: 0.3541, kb_relative_information_score: -1.5941, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.2689, predictive_accuracy: 0.5185, prior_entropy: 0.9991, recall: 0.5185, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0022, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8349, kappa: 0.6693, kb_relative_information_score: 364.7332, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8357, predictive_accuracy: 0.8352, prior_entropy: 0.9991, recall: 0.8352, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7833, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1316.5668,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs