Task
Supervised Classification on teachingAssistant

Supervised Classification on teachingAssistant

Task 4654 Supervised Classification teachingAssistant 172 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9172, kappa: 0.8758, kb_relative_information_score: 1336.6825, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9173, predictive_accuracy: 0.9172, prior_entropy: 1.5845, recall: 0.9172, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4918, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8771, kappa: 0.8163, kb_relative_information_score: 1119.6188, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8802, predictive_accuracy: 0.8775, prior_entropy: 1.5845, recall: 0.8775, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5354, scimark_benchmark: 934.3687, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8012, kappa: 0.702, kb_relative_information_score: 1099.0962, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8014, predictive_accuracy: 0.8013, prior_entropy: 1.5845, recall: 0.8013, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7721, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8012, kappa: 0.702, kb_relative_information_score: 1099.0962, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8014, predictive_accuracy: 0.8013, prior_entropy: 1.5845, recall: 0.8013, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7721, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7904, kappa: 0.6863, kb_relative_information_score: 1004.9263, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.792, predictive_accuracy: 0.7907, prior_entropy: 1.5845, recall: 0.7907, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6719, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.4613, kappa: 0.192, kb_relative_information_score: 312.6933, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4612, predictive_accuracy: 0.4616, prior_entropy: 1.5845, recall: 0.4616, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9863, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8617, kappa: 0.7921, kb_relative_information_score: 1061.6415, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8645, predictive_accuracy: 0.8616, prior_entropy: 1.5845, recall: 0.8616, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5802, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.6083, kappa: 0.4113, kb_relative_information_score: 530.2979, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6116, predictive_accuracy: 0.6073, prior_entropy: 1.5845, recall: 0.6073, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8907, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8012, kappa: 0.702, kb_relative_information_score: 1099.0962, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8014, predictive_accuracy: 0.8013, prior_entropy: 1.5845, recall: 0.8013, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7721, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8012, kappa: 0.702, kb_relative_information_score: 1099.0962, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8014, predictive_accuracy: 0.8013, prior_entropy: 1.5845, recall: 0.8013, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7721, scimark_benchmark: 944.1783, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8795, kappa: 0.819, kb_relative_information_score: 1150.4031, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8813, predictive_accuracy: 0.8795, prior_entropy: 1.5845, recall: 0.8795, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5363, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7904, kappa: 0.6863, kb_relative_information_score: 1004.9263, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.792, predictive_accuracy: 0.7907, prior_entropy: 1.5845, recall: 0.7907, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6719, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.6083, kappa: 0.4113, kb_relative_information_score: 530.2979, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6116, predictive_accuracy: 0.6073, prior_entropy: 1.5845, recall: 0.6073, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8907, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9172, kappa: 0.8758, kb_relative_information_score: 1336.6825, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9173, predictive_accuracy: 0.9172, prior_entropy: 1.5845, recall: 0.9172, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4918, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8771, kappa: 0.8163, kb_relative_information_score: 1119.6188, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8802, predictive_accuracy: 0.8775, prior_entropy: 1.5845, recall: 0.8775, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5354, scimark_benchmark: 944.0133, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8012, kappa: 0.702, kb_relative_information_score: 1099.0962, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8014, predictive_accuracy: 0.8013, prior_entropy: 1.5845, recall: 0.8013, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7721, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8012, kappa: 0.702, kb_relative_information_score: 1099.0962, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8014, predictive_accuracy: 0.8013, prior_entropy: 1.5845, recall: 0.8013, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7721, scimark_benchmark: 934.5964, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7904, kappa: 0.6863, kb_relative_information_score: 1004.9263, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.792, predictive_accuracy: 0.7907, prior_entropy: 1.5845, recall: 0.7907, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6719, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.4613, kappa: 0.192, kb_relative_information_score: 312.6933, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4612, predictive_accuracy: 0.4616, prior_entropy: 1.5845, recall: 0.4616, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9863, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7904, kappa: 0.6863, kb_relative_information_score: 1004.9263, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.792, predictive_accuracy: 0.7907, prior_entropy: 1.5845, recall: 0.7907, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6719, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8617, kappa: 0.7921, kb_relative_information_score: 1061.6415, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8645, predictive_accuracy: 0.8616, prior_entropy: 1.5845, recall: 0.8616, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5802, scimark_benchmark: 932.438, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.6083, kappa: 0.4113, kb_relative_information_score: 530.2979, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6116, predictive_accuracy: 0.6073, prior_entropy: 1.5845, recall: 0.6073, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8907, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.6296, kappa: 0.4447, kb_relative_information_score: 558.1813, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6296, predictive_accuracy: 0.6298, prior_entropy: 1.5845, recall: 0.6298, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.842, scimark_benchmark: 926.5462, usercpu_time_millis: 2090, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.6346, kappa: 0.4517, kb_relative_information_score: 558.8509, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6353, predictive_accuracy: 0.6344, prior_entropy: 1.5845, recall: 0.6344, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.844, scimark_benchmark: 833.4972, usercpu_time_millis: 1960, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.6241, kappa: 0.4358, kb_relative_information_score: 551.9712, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6248, predictive_accuracy: 0.6238, prior_entropy: 1.5845, recall: 0.6238, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8543, scimark_benchmark: 939.8002, usercpu_time_millis: 480, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.615, kappa: 0.4226, kb_relative_information_score: 546.6084, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6148, predictive_accuracy: 0.6152, prior_entropy: 1.5845, recall: 0.6152, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8607, scimark_benchmark: 939.7241, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.6019, kappa: 0.4029, kb_relative_information_score: 532.275, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6021, predictive_accuracy: 0.602, prior_entropy: 1.5845, recall: 0.602, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8824, scimark_benchmark: 932.4744, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.9801, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3425, kappa: 0.0659, kb_relative_information_score: 124.3168, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3938, predictive_accuracy: 0.3795, prior_entropy: 1.5845, recall: 0.3795, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9794, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3425, kappa: 0.0659, kb_relative_information_score: 124.3168, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3938, predictive_accuracy: 0.3795, prior_entropy: 1.5845, recall: 0.3795, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9794, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3425, kappa: 0.0659, kb_relative_information_score: 124.3168, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3938, predictive_accuracy: 0.3795, prior_entropy: 1.5845, recall: 0.3795, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9794, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3425, kappa: 0.0659, kb_relative_information_score: 124.3168, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3938, predictive_accuracy: 0.3795, prior_entropy: 1.5845, recall: 0.3795, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9794, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3425, kappa: 0.0659, kb_relative_information_score: 124.3168, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.3938, predictive_accuracy: 0.3795, prior_entropy: 1.5845, recall: 0.3795, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9794, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1764, kb_relative_information_score: 146.7667, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.4027, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.5138, kappa: 0.2733, kb_relative_information_score: 292.3127, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.514, predictive_accuracy: 0.5159, prior_entropy: 1.5845, recall: 0.5159, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9434, scimark_benchmark: 922.8232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.5715, kappa: 0.3573, kb_relative_information_score: 415.7165, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5722, predictive_accuracy: 0.5715, prior_entropy: 1.5845, recall: 0.5715, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8888, scimark_benchmark: 926.5859, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.4927, kappa: 0.2399, kb_relative_information_score: 159.5141, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.4923, predictive_accuracy: 0.4934, prior_entropy: 1.5845, recall: 0.4934, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9662, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8012, kappa: 0.702, kb_relative_information_score: 1099.0962, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8014, predictive_accuracy: 0.8013, prior_entropy: 1.5845, recall: 0.8013, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7721, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8795, kappa: 0.819, kb_relative_information_score: 1150.4031, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8813, predictive_accuracy: 0.8795, prior_entropy: 1.5845, recall: 0.8795, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5363, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8617, kappa: 0.7921, kb_relative_information_score: 1061.6415, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8645, predictive_accuracy: 0.8616, prior_entropy: 1.5845, recall: 0.8616, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5802, scimark_benchmark: 1086.8793, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.6083, kappa: 0.4113, kb_relative_information_score: 530.2979, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6116, predictive_accuracy: 0.6073, prior_entropy: 1.5845, recall: 0.6073, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8907, scimark_benchmark: 1278.6629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7904, kappa: 0.6863, kb_relative_information_score: 1004.9263, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.792, predictive_accuracy: 0.7907, prior_entropy: 1.5845, recall: 0.7907, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6719, scimark_benchmark: 1320.9387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.5566, kappa: 0.3458, kb_relative_information_score: 565.6963, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.5638, predictive_accuracy: 0.5642, prior_entropy: 1.5845, recall: 0.5642, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.006, scimark_benchmark: 1280.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8795, kappa: 0.819, kb_relative_information_score: 1150.4031, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8813, predictive_accuracy: 0.8795, prior_entropy: 1.5845, recall: 0.8795, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5363, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7904, kappa: 0.6863, kb_relative_information_score: 1004.9263, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.792, predictive_accuracy: 0.7907, prior_entropy: 1.5845, recall: 0.7907, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6719, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.629, kappa: 0.4428, kb_relative_information_score: 456.4262, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6299, predictive_accuracy: 0.6285, prior_entropy: 1.5845, recall: 0.6285, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8517, scimark_benchmark: 1333.4509, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8795, kappa: 0.819, kb_relative_information_score: 1150.4031, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.8813, predictive_accuracy: 0.8795, prior_entropy: 1.5845, recall: 0.8795, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5363, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9172, kappa: 0.8758, kb_relative_information_score: 1336.6825, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.9173, predictive_accuracy: 0.9172, prior_entropy: 1.5845, recall: 0.9172, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4918, scimark_benchmark: 926.6704,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7904, kappa: 0.6863, kb_relative_information_score: 1004.9263, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.792, predictive_accuracy: 0.7907, prior_entropy: 1.5845, recall: 0.7907, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6719, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.6144, kappa: 0.4219, kb_relative_information_score: 704.7039, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6147, predictive_accuracy: 0.6146, prior_entropy: 1.5845, recall: 0.6146, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.064, scimark_benchmark: 1323.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.6003, kappa: 0.3993, kb_relative_information_score: 658.3558, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4443, number_of_instances: 1510, precision: 0.6026, predictive_accuracy: 0.5993, prior_entropy: 1.5845, recall: 0.5993, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9769, scimark_benchmark: 1350.073, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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