Task
Supervised Classification on fri_c1_100_5

Supervised Classification on fri_c1_100_5

Task 4399 Supervised Classification fri_c1_100_5 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7676, kappa: 0.5295, kb_relative_information_score: 372.5472, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7714, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8792, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8212, kappa: 0.6393, kb_relative_information_score: 538.6057, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8217, predictive_accuracy: 0.821, prior_entropy: 0.9931, recall: 0.821, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7264, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7879, kappa: 0.5714, kb_relative_information_score: 528.618, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7878, predictive_accuracy: 0.788, prior_entropy: 0.9931, recall: 0.788, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8281, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8151, kappa: 0.6268, kb_relative_information_score: 624.5366, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8153, predictive_accuracy: 0.815, prior_entropy: 0.9931, recall: 0.815, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8646, scimark_benchmark: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8238, kappa: 0.6437, kb_relative_information_score: 479.9489, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9931, recall: 0.824, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.746, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8141, kappa: 0.6245, kb_relative_information_score: 622.5086, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8142, predictive_accuracy: 0.814, prior_entropy: 0.9931, recall: 0.814, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7216, kappa: 0.4364, kb_relative_information_score: 262.7657, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.725, prior_entropy: 0.9931, recall: 0.725, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8703, scimark_benchmark: 916.0735, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7679, kappa: 0.5307, kb_relative_information_score: 457.3896, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7678, predictive_accuracy: 0.768, prior_entropy: 0.9931, recall: 0.768, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8529, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8151, kappa: 0.6268, kb_relative_information_score: 624.5366, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8153, predictive_accuracy: 0.815, prior_entropy: 0.9931, recall: 0.815, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8646, scimark_benchmark: 944.1783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8151, kappa: 0.6268, kb_relative_information_score: 624.5366, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8153, predictive_accuracy: 0.815, prior_entropy: 0.9931, recall: 0.815, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8646, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.7371, kappa: 0.4679, kb_relative_information_score: 343.8377, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7373, predictive_accuracy: 0.738, prior_entropy: 0.9931, recall: 0.738, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8869, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8342, kappa: 0.6657, kb_relative_information_score: 522.697, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8349, predictive_accuracy: 0.834, prior_entropy: 0.9931, recall: 0.834, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7212, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7676, kappa: 0.5295, kb_relative_information_score: 372.5472, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7714, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8792, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8212, kappa: 0.6393, kb_relative_information_score: 538.6057, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8217, predictive_accuracy: 0.821, prior_entropy: 0.9931, recall: 0.821, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7264, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7879, kappa: 0.5714, kb_relative_information_score: 528.618, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7878, predictive_accuracy: 0.788, prior_entropy: 0.9931, recall: 0.788, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8281, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8151, kappa: 0.6268, kb_relative_information_score: 624.5366, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8153, predictive_accuracy: 0.815, prior_entropy: 0.9931, recall: 0.815, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8646, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8238, kappa: 0.6437, kb_relative_information_score: 479.9489, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9931, recall: 0.824, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.746, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7216, kappa: 0.4364, kb_relative_information_score: 262.7657, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.725, prior_entropy: 0.9931, recall: 0.725, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8703, scimark_benchmark: 926.5462, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7679, kappa: 0.5307, kb_relative_information_score: 457.3896, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7678, predictive_accuracy: 0.768, prior_entropy: 0.9931, recall: 0.768, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8529, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8342, kappa: 0.6657, kb_relative_information_score: 522.697, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8349, predictive_accuracy: 0.834, prior_entropy: 0.9931, recall: 0.834, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7212, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8199, kappa: 0.6359, kb_relative_information_score: 468.1348, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7139, scimark_benchmark: 940.1221, usercpu_time_millis: 260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8149, kappa: 0.6257, kb_relative_information_score: 463.4599, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8148, predictive_accuracy: 0.815, prior_entropy: 0.9931, recall: 0.815, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7195, scimark_benchmark: 904.5548, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8139, kappa: 0.6238, kb_relative_information_score: 470.1535, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8138, predictive_accuracy: 0.814, prior_entropy: 0.9931, recall: 0.814, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7184, scimark_benchmark: 897.0978, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8119, kappa: 0.6197, kb_relative_information_score: 461.1665, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8118, predictive_accuracy: 0.812, prior_entropy: 0.9931, recall: 0.812, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7345, scimark_benchmark: 891.6381, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.813, kappa: 0.6223, kb_relative_information_score: 468.9828, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.813, predictive_accuracy: 0.813, prior_entropy: 0.9931, recall: 0.813, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7419, scimark_benchmark: 918.0831, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7815, kappa: 0.558, kb_relative_information_score: 486.5897, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7816, predictive_accuracy: 0.782, prior_entropy: 0.9931, recall: 0.782, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8118, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7815, kappa: 0.558, kb_relative_information_score: 486.5897, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7816, predictive_accuracy: 0.782, prior_entropy: 0.9931, recall: 0.782, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8118, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7826, kappa: 0.5601, kb_relative_information_score: 488.1325, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7826, predictive_accuracy: 0.783, prior_entropy: 0.9931, recall: 0.783, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8103, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7816, kappa: 0.5582, kb_relative_information_score: 485.2793, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7816, predictive_accuracy: 0.782, prior_entropy: 0.9931, recall: 0.782, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8109, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7838, kappa: 0.5629, kb_relative_information_score: 484.8392, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9931, recall: 0.784, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7984, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -1.7743, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8158, kappa: 0.6275, kb_relative_information_score: 619.7508, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 0.9931, recall: 0.816, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8318, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8215, kappa: 0.6388, kb_relative_information_score: 623.7766, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8218, predictive_accuracy: 0.822, prior_entropy: 0.9931, recall: 0.822, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8148, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8065, kappa: 0.6082, kb_relative_information_score: 596.0429, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8092, predictive_accuracy: 0.808, prior_entropy: 0.9931, recall: 0.808, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8229, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7309, kappa: 0.4597, kb_relative_information_score: 460.9526, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7529, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9204, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7679, kappa: 0.5307, kb_relative_information_score: 457.3896, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7678, predictive_accuracy: 0.768, prior_entropy: 0.9931, recall: 0.768, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8529, scimark_benchmark: 1335.5309, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8342, kappa: 0.6657, kb_relative_information_score: 522.697, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8349, predictive_accuracy: 0.834, prior_entropy: 0.9931, recall: 0.834, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7212, scimark_benchmark: 1317.5348, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6652, kappa: 0.3219, kb_relative_information_score: 203.2273, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6654, predictive_accuracy: 0.667, prior_entropy: 0.9931, recall: 0.667, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9358, scimark_benchmark: 1320.2063, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8583, kappa: 0.7154, kb_relative_information_score: 666.7084, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8614, predictive_accuracy: 0.858, prior_entropy: 0.9931, recall: 0.858, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7122, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7879, kappa: 0.5714, kb_relative_information_score: 528.618, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7878, predictive_accuracy: 0.788, prior_entropy: 0.9931, recall: 0.788, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8281, scimark_benchmark: 1321.8132, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8191, kappa: 0.6346, kb_relative_information_score: 576.123, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8191, predictive_accuracy: 0.819, prior_entropy: 0.9931, recall: 0.819, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7517, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.7371, kappa: 0.4679, kb_relative_information_score: 343.8377, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7373, predictive_accuracy: 0.738, prior_entropy: 0.9931, recall: 0.738, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8869, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 1332.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.757, kappa: 0.5081, kb_relative_information_score: 352.12, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8778, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8238, kappa: 0.6437, kb_relative_information_score: 479.9489, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9931, recall: 0.824, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.746, scimark_benchmark: 1396.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7679, kappa: 0.5307, kb_relative_information_score: 457.3896, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7678, predictive_accuracy: 0.768, prior_entropy: 0.9931, recall: 0.768, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8529, scimark_benchmark: 1317.8359, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7496, kappa: 0.4971, kb_relative_information_score: 310.2158, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7527, predictive_accuracy: 0.749, prior_entropy: 0.9931, recall: 0.749, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8416, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8212, kappa: 0.6393, kb_relative_information_score: 538.6057, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.8217, predictive_accuracy: 0.821, prior_entropy: 0.9931, recall: 0.821, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7264, scimark_benchmark: 1324.7884,

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