OpenML
Supervised Classification on boston

Supervised Classification on boston

Task 3736 Supervised Classification boston 654 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 333.2798, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6468, scimark_benchmark: 934.929, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6055, kappa: 0.2259, kb_relative_information_score: 150.7105, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7158, predictive_accuracy: 0.664, prior_entropy: 0.9782, recall: 0.664, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5796, root_relative_squared_error: 1.1772, scimark_benchmark: 928.8135, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.7978, kappa: 0.5886, kb_relative_information_score: 290.3259, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8044, predictive_accuracy: 0.7964, prior_entropy: 0.9782, recall: 0.7964, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.863, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.868, kappa: 0.7259, kb_relative_information_score: 315.6424, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8713, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6266, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8927, kappa: 0.7777, kb_relative_information_score: 333.8481, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8935, predictive_accuracy: 0.8933, prior_entropy: 0.9782, recall: 0.8933, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.291, root_relative_squared_error: 0.591, scimark_benchmark: 922.5036, usercpu_time_millis: 2790, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 879.4299, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8321, kappa: 0.6538, kb_relative_information_score: 313.5154, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 0.9782, recall: 0.832, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7489, scimark_benchmark: 952.4682, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.877, kappa: 0.7455, kb_relative_information_score: 330.9887, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5876, scimark_benchmark: 949.7766, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.0192, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745, scimark_benchmark: 901.8743, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6055, kappa: 0.2259, kb_relative_information_score: 150.7105, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7158, predictive_accuracy: 0.664, prior_entropy: 0.9782, recall: 0.664, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5796, root_relative_squared_error: 1.1772, scimark_benchmark: 1324.1205, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.868, kappa: 0.7259, kb_relative_information_score: 315.6424, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8713, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6266, scimark_benchmark: 1327.5842, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.868, kappa: 0.7259, kb_relative_information_score: 315.6424, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8713, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6266, scimark_benchmark: 926.6704, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8321, kappa: 0.6538, kb_relative_information_score: 313.5154, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 0.9782, recall: 0.832, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7489, scimark_benchmark: 1318.6467, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8571, kappa: 0.7044, kb_relative_information_score: 277.9381, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8573, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6645, scimark_benchmark: 1342.8632, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1353.0836, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.877, kappa: 0.7455, kb_relative_information_score: 330.9887, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5876, scimark_benchmark: 1342.8632, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.7978, kappa: 0.5886, kb_relative_information_score: 290.3259, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8044, predictive_accuracy: 0.7964, prior_entropy: 0.9782, recall: 0.7964, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.863, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.868, kappa: 0.7259, kb_relative_information_score: 315.6424, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8713, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6266, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6055, kappa: 0.2259, kb_relative_information_score: 150.7105, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7158, predictive_accuracy: 0.664, prior_entropy: 0.9782, recall: 0.664, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5796, root_relative_squared_error: 1.1772, scimark_benchmark: 1346.2927, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6055, kappa: 0.2259, kb_relative_information_score: 150.7105, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7158, predictive_accuracy: 0.664, prior_entropy: 0.9782, recall: 0.664, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5796, root_relative_squared_error: 1.1772, scimark_benchmark: 1362.9924, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.7978, kappa: 0.5886, kb_relative_information_score: 290.3259, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8044, predictive_accuracy: 0.7964, prior_entropy: 0.9782, recall: 0.7964, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.863, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.868, kappa: 0.7259, kb_relative_information_score: 315.6424, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8713, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6266, scimark_benchmark: 1340.9749, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.877, kappa: 0.7455, kb_relative_information_score: 330.9887, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5876, scimark_benchmark: 1318.6467, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6055, kappa: 0.2259, kb_relative_information_score: 150.7105, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7158, predictive_accuracy: 0.664, prior_entropy: 0.9782, recall: 0.664, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5796, root_relative_squared_error: 1.1772, scimark_benchmark: 1317.5857, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.7978, kappa: 0.5886, kb_relative_information_score: 290.3259, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8044, predictive_accuracy: 0.7964, prior_entropy: 0.9782, recall: 0.7964, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.863, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8927, kappa: 0.7777, kb_relative_information_score: 333.8481, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8935, predictive_accuracy: 0.8933, prior_entropy: 0.9782, recall: 0.8933, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.291, root_relative_squared_error: 0.591, scimark_benchmark: 1341.5795, usercpu_time_millis: 2340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.7978, kappa: 0.5886, kb_relative_information_score: 290.3259, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8044, predictive_accuracy: 0.7964, prior_entropy: 0.9782, recall: 0.7964, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.863, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.868, kappa: 0.7259, kb_relative_information_score: 315.6424, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8713, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6266, scimark_benchmark: 918.0213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8321, kappa: 0.6538, kb_relative_information_score: 313.5154, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 0.9782, recall: 0.832, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7489, scimark_benchmark: 1341.5795, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.7978, kappa: 0.5886, kb_relative_information_score: 290.3259, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8044, predictive_accuracy: 0.7964, prior_entropy: 0.9782, recall: 0.7964, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.863, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.0192, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745, scimark_benchmark: 1329.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.853, kappa: 0.6958, kb_relative_information_score: 312.0192, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8533, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6745, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8321, kappa: 0.6538, kb_relative_information_score: 313.5154, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 0.9782, recall: 0.832, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7489, scimark_benchmark: 1315.933, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.7978, kappa: 0.5886, kb_relative_information_score: 290.3259, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8044, predictive_accuracy: 0.7964, prior_entropy: 0.9782, recall: 0.7964, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.863, scimark_benchmark: 1350.073,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.877, kappa: 0.7455, kb_relative_information_score: 330.9887, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5876, scimark_benchmark: 1311.9814, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.868, kappa: 0.7259, kb_relative_information_score: 315.6424, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8713, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6266, scimark_benchmark: 1312.0581, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 349.8451, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6453, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.877, kappa: 0.7455, kb_relative_information_score: 330.9887, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5876, scimark_benchmark: 1354.7191, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,

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