OpenML
Supervised Classification on hayes-roth

Supervised Classification on hayes-roth

Task 4542 Supervised Classification hayes-roth 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7728, kappa: 0.521, kb_relative_information_score: 0.5191, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4746, weighted_recall: 0.7727, number_of_instances: 1320, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 0.9624, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7574, scimark_benchmark: 931.1106, unweighted_recall: 0.7607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.649, kappa: 0.2724, kb_relative_information_score: 0.2659, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4746, weighted_recall: 0.6455, number_of_instances: 1320, precision: 0.6568, predictive_accuracy: 0.6455, prior_entropy: 0.9624, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8796, scimark_benchmark: 979.7764, unweighted_recall: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -7.905, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0065, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7791, kappa: 0.5303, kb_relative_information_score: 499.6536, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7794, predictive_accuracy: 0.7818, prior_entropy: 0.9635, recall: 0.7818, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.826, kappa: 0.6281, kb_relative_information_score: 593.4271, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8409, predictive_accuracy: 0.8326, prior_entropy: 0.9635, recall: 0.8326, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7462, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7027, kappa: 0.3742, kb_relative_information_score: 335.901, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7033, predictive_accuracy: 0.7023, prior_entropy: 0.9635, recall: 0.7023, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8754, scimark_benchmark: 934.3687, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6048, kappa: 0.1891, kb_relative_information_score: 158.2235, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6861, predictive_accuracy: 0.6659, prior_entropy: 0.9635, recall: 0.6659, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9645, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7728, kappa: 0.521, kb_relative_information_score: 684.454, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7574, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7728, kappa: 0.521, kb_relative_information_score: 684.454, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7574, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -7.905, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0065, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7791, kappa: 0.5303, kb_relative_information_score: 499.6536, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7794, predictive_accuracy: 0.7818, prior_entropy: 0.9635, recall: 0.7818, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 937.5683, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 859.5223, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.826, kappa: 0.6281, kb_relative_information_score: 593.4271, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8409, predictive_accuracy: 0.8326, prior_entropy: 0.9635, recall: 0.8326, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7462, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7027, kappa: 0.3742, kb_relative_information_score: 335.901, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7033, predictive_accuracy: 0.7023, prior_entropy: 0.9635, recall: 0.7023, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8754, scimark_benchmark: 931.9419, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6048, kappa: 0.1891, kb_relative_information_score: 158.2235, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6861, predictive_accuracy: 0.6659, prior_entropy: 0.9635, recall: 0.6659, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9645, scimark_benchmark: 936.3213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7728, kappa: 0.521, kb_relative_information_score: 684.454, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7574, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.818, kappa: 0.6111, kb_relative_information_score: 579.9467, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8361, predictive_accuracy: 0.8258, prior_entropy: 0.9635, recall: 0.8258, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7567, scimark_benchmark: 917.5013, usercpu_time_millis: 320, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 579.7444, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8367, predictive_accuracy: 0.8265, prior_entropy: 0.9635, recall: 0.8265, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7571, scimark_benchmark: 859.5223, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.8188, kappa: 0.613, kb_relative_information_score: 581.9259, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8403, predictive_accuracy: 0.8273, prior_entropy: 0.9635, recall: 0.8273, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.757, scimark_benchmark: 935.2002, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.8175, kappa: 0.6102, kb_relative_information_score: 583.4044, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8375, predictive_accuracy: 0.8258, prior_entropy: 0.9635, recall: 0.8258, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.759, scimark_benchmark: 891.6381, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8162, kappa: 0.6074, kb_relative_information_score: 587.7888, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8348, predictive_accuracy: 0.8242, prior_entropy: 0.9635, recall: 0.8242, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7566, scimark_benchmark: 908.4147, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8544, kappa: 0.6891, kb_relative_information_score: 679.0204, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8859, predictive_accuracy: 0.8621, prior_entropy: 0.9635, recall: 0.8621, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6703, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8544, kappa: 0.6891, kb_relative_information_score: 679.0204, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8859, predictive_accuracy: 0.8621, prior_entropy: 0.9635, recall: 0.8621, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6703, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8544, kappa: 0.6891, kb_relative_information_score: 679.0204, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8859, predictive_accuracy: 0.8621, prior_entropy: 0.9635, recall: 0.8621, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6703, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8544, kappa: 0.6891, kb_relative_information_score: 679.0204, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8859, predictive_accuracy: 0.8621, prior_entropy: 0.9635, recall: 0.8621, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6703, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8544, kappa: 0.6891, kb_relative_information_score: 678.1239, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8859, predictive_accuracy: 0.8621, prior_entropy: 0.9635, recall: 0.8621, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.671, scimark_benchmark: 926.5859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6048, kappa: 0.1891, kb_relative_information_score: 158.2235, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6861, predictive_accuracy: 0.6659, prior_entropy: 0.9635, recall: 0.6659, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9645, scimark_benchmark: 1332.9478,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1350.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7791, kappa: 0.5303, kb_relative_information_score: 499.6536, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7794, predictive_accuracy: 0.7818, prior_entropy: 0.9635, recall: 0.7818, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1339.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7563, kappa: 0.4851, kb_relative_information_score: 543.7805, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7559, predictive_accuracy: 0.7568, prior_entropy: 0.9635, recall: 0.7568, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8195, scimark_benchmark: 1367.3264, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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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