OpenML
Supervised Classification on lymph

Supervised Classification on lymph

Task 4574 Supervised Classification lymph 204 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7834, kappa: 0.5622, kb_relative_information_score: 738.9798, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.7834, predictive_accuracy: 0.7838, prior_entropy: 0.9937, recall: 0.7838, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8557, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8381, kappa: 0.6727, kb_relative_information_score: 802.6159, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8385, predictive_accuracy: 0.8385, prior_entropy: 0.9937, recall: 0.8385, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6935, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8548, kappa: 0.7065, kb_relative_information_score: 934.6535, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8559, predictive_accuracy: 0.8554, prior_entropy: 0.9937, recall: 0.8554, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6726, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.8311, kappa: 0.6594, kb_relative_information_score: 983.5312, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8459, predictive_accuracy: 0.8345, prior_entropy: 0.9937, recall: 0.8345, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8174, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8085, kappa: 0.6133, kb_relative_information_score: 878.1481, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8085, predictive_accuracy: 0.8088, prior_entropy: 0.9937, recall: 0.8088, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7305, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8253, kappa: 0.6467, kb_relative_information_score: 755.8649, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8274, predictive_accuracy: 0.8264, prior_entropy: 0.9937, recall: 0.8264, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7199, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8634, kappa: 0.724, kb_relative_information_score: 948.7457, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8634, predictive_accuracy: 0.8635, prior_entropy: 0.9937, recall: 0.8635, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6388, scimark_benchmark: 936.8075, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8018, kappa: 0.5993, kb_relative_information_score: 841.9692, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8028, predictive_accuracy: 0.8027, prior_entropy: 0.9937, recall: 0.8027, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.781, scimark_benchmark: 931.771, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8628, kappa: 0.7226, kb_relative_information_score: 780.3833, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8647, predictive_accuracy: 0.8635, prior_entropy: 0.9937, recall: 0.8635, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6569, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.8311, kappa: 0.6594, kb_relative_information_score: 983.5312, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8459, predictive_accuracy: 0.8345, prior_entropy: 0.9937, recall: 0.8345, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8174, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.8311, kappa: 0.6594, kb_relative_information_score: 983.5312, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8459, predictive_accuracy: 0.8345, prior_entropy: 0.9937, recall: 0.8345, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8174, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8628, kappa: 0.7226, kb_relative_information_score: 780.3833, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8647, predictive_accuracy: 0.8635, prior_entropy: 0.9937, recall: 0.8635, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6569, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7834, kappa: 0.5622, kb_relative_information_score: 738.9798, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.7834, predictive_accuracy: 0.7838, prior_entropy: 0.9937, recall: 0.7838, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8557, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8381, kappa: 0.6727, kb_relative_information_score: 802.6159, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8385, predictive_accuracy: 0.8385, prior_entropy: 0.9937, recall: 0.8385, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6935, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8548, kappa: 0.7065, kb_relative_information_score: 934.6535, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8559, predictive_accuracy: 0.8554, prior_entropy: 0.9937, recall: 0.8554, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6726, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.8311, kappa: 0.6594, kb_relative_information_score: 983.5312, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8459, predictive_accuracy: 0.8345, prior_entropy: 0.9937, recall: 0.8345, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8174, scimark_benchmark: 937.5683, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.8311, kappa: 0.6594, kb_relative_information_score: 983.5312, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8459, predictive_accuracy: 0.8345, prior_entropy: 0.9937, recall: 0.8345, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8174, scimark_benchmark: 926.5462, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8085, kappa: 0.6133, kb_relative_information_score: 878.1481, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8085, predictive_accuracy: 0.8088, prior_entropy: 0.9937, recall: 0.8088, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7305, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8253, kappa: 0.6467, kb_relative_information_score: 755.8649, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8274, predictive_accuracy: 0.8264, prior_entropy: 0.9937, recall: 0.8264, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7199, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8634, kappa: 0.724, kb_relative_information_score: 948.7457, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8634, predictive_accuracy: 0.8635, prior_entropy: 0.9937, recall: 0.8635, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6388, scimark_benchmark: 931.7096, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8018, kappa: 0.5993, kb_relative_information_score: 841.9692, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8028, predictive_accuracy: 0.8027, prior_entropy: 0.9937, recall: 0.8027, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.781, scimark_benchmark: 941.3057, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8628, kappa: 0.7226, kb_relative_information_score: 780.3833, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8647, predictive_accuracy: 0.8635, prior_entropy: 0.9937, recall: 0.8635, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6569, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8524, kappa: 0.7017, kb_relative_information_score: 862.2474, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8527, predictive_accuracy: 0.8527, prior_entropy: 0.9937, recall: 0.8527, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6421, scimark_benchmark: 934.7923, usercpu_time_millis: 1970, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8517, kappa: 0.7004, kb_relative_information_score: 862.468, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9937, recall: 0.852, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6431, scimark_benchmark: 938.4601, usercpu_time_millis: 790, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8538, kappa: 0.7046, kb_relative_information_score: 860.1177, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.854, predictive_accuracy: 0.8541, prior_entropy: 0.9937, recall: 0.8541, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6496, scimark_benchmark: 939.8002, usercpu_time_millis: 320, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8419, kappa: 0.6809, kb_relative_information_score: 863.096, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8419, predictive_accuracy: 0.8419, prior_entropy: 0.9937, recall: 0.8419, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.325, root_relative_squared_error: 0.653, scimark_benchmark: 922.613, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8431, kappa: 0.6832, kb_relative_information_score: 843.8189, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8431, predictive_accuracy: 0.8432, prior_entropy: 0.9937, recall: 0.8432, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6808, scimark_benchmark: 935.9271, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8072, kappa: 0.6105, kb_relative_information_score: 856.7831, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8072, predictive_accuracy: 0.8074, prior_entropy: 0.9937, recall: 0.8074, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7467, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8072, kappa: 0.6105, kb_relative_information_score: 856.7831, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8072, predictive_accuracy: 0.8074, prior_entropy: 0.9937, recall: 0.8074, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7467, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8072, kappa: 0.6105, kb_relative_information_score: 856.7831, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8072, predictive_accuracy: 0.8074, prior_entropy: 0.9937, recall: 0.8074, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7467, scimark_benchmark: 936.7184,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8085, kappa: 0.6133, kb_relative_information_score: 878.1481, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8085, predictive_accuracy: 0.8088, prior_entropy: 0.9937, recall: 0.8088, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7305, scimark_benchmark: 1306.9281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8634, kappa: 0.724, kb_relative_information_score: 948.7457, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8634, predictive_accuracy: 0.8635, prior_entropy: 0.9937, recall: 0.8635, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6388, scimark_benchmark: 1349.1517, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8085, kappa: 0.6133, kb_relative_information_score: 878.1481, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8085, predictive_accuracy: 0.8088, prior_entropy: 0.9937, recall: 0.8088, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7305, scimark_benchmark: 1347.1763,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8634, kappa: 0.724, kb_relative_information_score: 948.7457, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8634, predictive_accuracy: 0.8635, prior_entropy: 0.9937, recall: 0.8635, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6388, scimark_benchmark: 1316.6799, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 1306.8702, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8634, kappa: 0.724, kb_relative_information_score: 948.7457, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8634, predictive_accuracy: 0.8635, prior_entropy: 0.9937, recall: 0.8635, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6388, scimark_benchmark: 1313.5633, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8468, kappa: 0.6904, kb_relative_information_score: 944.8592, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9937, recall: 0.8473, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6806, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8018, kappa: 0.5993, kb_relative_information_score: 841.9692, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8028, predictive_accuracy: 0.8027, prior_entropy: 0.9937, recall: 0.8027, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.781, scimark_benchmark: 1334.863, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8628, kappa: 0.7226, kb_relative_information_score: 780.3833, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8647, predictive_accuracy: 0.8635, prior_entropy: 0.9937, recall: 0.8635, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6569, scimark_benchmark: 1335.6555, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7834, kappa: 0.5622, kb_relative_information_score: 738.9798, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.7834, predictive_accuracy: 0.7838, prior_entropy: 0.9937, recall: 0.7838, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8557, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8088, kappa: 0.6141, kb_relative_information_score: 899.273, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8088, predictive_accuracy: 0.8088, prior_entropy: 0.9937, recall: 0.8088, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8486, scimark_benchmark: 1330.3852, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8548, kappa: 0.7065, kb_relative_information_score: 934.6535, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8559, predictive_accuracy: 0.8554, prior_entropy: 0.9937, recall: 0.8554, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6726, scimark_benchmark: 1325.3966, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8085, kappa: 0.6133, kb_relative_information_score: 878.1481, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8085, predictive_accuracy: 0.8088, prior_entropy: 0.9937, recall: 0.8088, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7305, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8018, kappa: 0.5993, kb_relative_information_score: 841.9692, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1480, precision: 0.8028, predictive_accuracy: 0.8027, prior_entropy: 0.9937, recall: 0.8027, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.781, scimark_benchmark: 1303.5632, usercpu_time_millis: 260, usercpu_time_millis_training: 260,

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