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OpenML
Task
Supervised Classification on fri_c2_250_5

Supervised Classification on fri_c2_250_5

Task 3774 Supervised Classification fri_c2_250_5 638 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

638 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8034, kappa: 0.6003, kb_relative_information_score: 135.4383, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8035, predictive_accuracy: 0.804, prior_entropy: 0.9898, recall: 0.804, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.751, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7253, kappa: 0.4707, kb_relative_information_score: 111.1356, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.77, predictive_accuracy: 0.728, prior_entropy: 0.9898, recall: 0.728, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0507, scimark_benchmark: 1312.3073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 25.3921, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1333.5799, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7648, kappa: 0.5271, kb_relative_information_score: 129.5092, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.764, prior_entropy: 0.9898, recall: 0.764, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9787, scimark_benchmark: 1297.6599, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.7723, kappa: 0.5387, kb_relative_information_score: 50.8249, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7728, predictive_accuracy: 0.772, prior_entropy: 0.9898, recall: 0.772, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9012, scimark_benchmark: 930.5999, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.6926, kappa: 0.378, kb_relative_information_score: 92.762, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6938, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.737, kappa: 0.4715, kb_relative_information_score: 76.5324, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7425, predictive_accuracy: 0.736, prior_entropy: 0.9898, recall: 0.736, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8447, scimark_benchmark: 939.5088, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8444, kappa: 0.6856, kb_relative_information_score: 170.3395, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8461, predictive_accuracy: 0.844, prior_entropy: 0.9898, recall: 0.844, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7957, scimark_benchmark: 934.0566, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8443, kappa: 0.685, kb_relative_information_score: 147.6497, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8453, predictive_accuracy: 0.844, prior_entropy: 0.9898, recall: 0.844, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7384, scimark_benchmark: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8398, kappa: 0.6747, kb_relative_information_score: 140.549, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8398, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7156, scimark_benchmark: 934.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8439, kappa: 0.6831, kb_relative_information_score: 144.8281, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9898, recall: 0.844, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7162, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8559, kappa: 0.7072, kb_relative_information_score: 151.5292, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9898, recall: 0.856, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7286, scimark_benchmark: 924.2085, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8955, kappa: 0.7873, kb_relative_information_score: 174.7822, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.529, scimark_benchmark: 1361.1055, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8641, kappa: 0.7246, kb_relative_information_score: 180.547, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 0.9898, recall: 0.864, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7429, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8387, kappa: 0.6715, kb_relative_information_score: 143.9174, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8414, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7439, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8835, kappa: 0.763, kb_relative_information_score: 179.9457, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8844, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6611, scimark_benchmark: 1309.3173, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.789, kappa: 0.5704, kb_relative_information_score: 143.7998, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7946, predictive_accuracy: 0.792, prior_entropy: 0.9898, recall: 0.792, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9188, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.3154, kappa: 0.0219, kb_relative_information_score: -27.6873, mean_absolute_error: 0.544, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6164, predictive_accuracy: 0.456, prior_entropy: 0.9898, recall: 0.456, relative_absolute_error: 1.1038, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7376, root_relative_squared_error: 1.4859, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8584, kappa: 0.7117, kb_relative_information_score: 160.3, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8634, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6848, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7822, kappa: 0.5565, kb_relative_information_score: 139.7168, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7841, predictive_accuracy: 0.784, prior_entropy: 0.9898, recall: 0.784, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9363, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8715, kappa: 0.7387, kb_relative_information_score: 184.6301, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7208, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0052, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8715, kappa: 0.7387, kb_relative_information_score: 180.2648, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6972, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8126, kappa: 0.6226, kb_relative_information_score: 148.6137, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8164, predictive_accuracy: 0.812, prior_entropy: 0.9898, recall: 0.812, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.861, scimark_benchmark: 927.0753, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.76, kappa: 0.513, kb_relative_information_score: 119.8979, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9898, recall: 0.76, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8293, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7604, kappa: 0.5149, kb_relative_information_score: 109.3317, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9898, recall: 0.76, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7725, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7604, kappa: 0.5149, kb_relative_information_score: 109.3317, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9898, recall: 0.76, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7725, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7604, kappa: 0.5149, kb_relative_information_score: 109.3317, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9898, recall: 0.76, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7725, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9039, kappa: 0.8048, kb_relative_information_score: 197.8032, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.9898, recall: 0.904, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6248, scimark_benchmark: 940.2922, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8879, kappa: 0.7723, kb_relative_information_score: 189.7911, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6578, scimark_benchmark: 938.2848, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8557, kappa: 0.7066, kb_relative_information_score: 172.8924, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9898, recall: 0.856, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7244, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8086, kappa: 0.6141, kb_relative_information_score: 149.2358, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8118, predictive_accuracy: 0.808, prior_entropy: 0.9898, recall: 0.808, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.811, scimark_benchmark: 922.9039, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7808, kappa: 0.5592, kb_relative_information_score: 134.6447, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7858, predictive_accuracy: 0.78, prior_entropy: 0.9898, recall: 0.78, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8934, scimark_benchmark: 938.4285, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8758, kappa: 0.7476, kb_relative_information_score: 179.4419, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9898, recall: 0.876, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.613, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, build_cpu_time: 0.0687, build_memory: 1267252828, f_measure: 0.8878, kappa: 0.7718, kb_relative_information_score: 174.7811, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5304, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, build_cpu_time: 0.0456, build_memory: 397433498.4, f_measure: 0.8878, kappa: 0.7718, kb_relative_information_score: 174.7811, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5304, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, build_cpu_time: 0.0736, build_memory: 747355278.4, f_measure: 0.8878, kappa: 0.7718, kb_relative_information_score: 174.7811, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5304, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, build_cpu_time: 0.0771, build_memory: 709652558.4, f_measure: 0.8518, kappa: 0.6988, kb_relative_information_score: 174.519, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9898, recall: 0.852, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7652, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, build_cpu_time: 0.0468, build_memory: 615297907.2, f_measure: 0.8516, kappa: 0.6982, kb_relative_information_score: 172.987, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9898, recall: 0.852, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7612, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, build_cpu_time: 0.0306, build_memory: 1002564821.6, f_measure: 0.8717, kappa: 0.7392, kb_relative_information_score: 181.4355, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7124, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, build_cpu_time: 0.0099, build_memory: 704263778.4, f_measure: 0.8475, kappa: 0.6897, kb_relative_information_score: 171.6743, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9898, recall: 0.848, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7457, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, build_cpu_time: 0.0049, build_memory: 221654382.4, f_measure: 0.8401, kappa: 0.676, kb_relative_information_score: 165.2762, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7176, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.0083, build_memory: 807358997.6, f_measure: 0.7604, kappa: 0.5149, kb_relative_information_score: 109.3317, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9898, recall: 0.76, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7725, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.0089, build_memory: 1273952722.4, f_measure: 0.7604, kappa: 0.5149, kb_relative_information_score: 109.3317, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9898, recall: 0.76, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7725, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.0093, build_memory: 1233202072, f_measure: 0.7604, kappa: 0.5149, kb_relative_information_score: 109.3317, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9898, recall: 0.76, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7725, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.0141, build_memory: 560293176.8, f_measure: 0.7604, kappa: 0.5149, kb_relative_information_score: 109.3317, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9898, recall: 0.76, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7725, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.0126, build_memory: 2248731452.8, f_measure: 0.7604, kappa: 0.5149, kb_relative_information_score: 109.3317, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9898, recall: 0.76, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7725, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, build_cpu_time: 2.2099, build_memory: 15742786.4, f_measure: 0.8511, kappa: 0.697, kb_relative_information_score: 168.2664, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8526, predictive_accuracy: 0.852, prior_entropy: 0.9898, recall: 0.852, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6976, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, build_cpu_time: 4.3051, build_memory: 780964012, f_measure: 0.8833, kappa: 0.7625, kb_relative_information_score: 186.7723, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.885, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6359, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, build_cpu_time: 8.6189, build_memory: 889723530.4, f_measure: 0.8797, kappa: 0.7555, kb_relative_information_score: 186.5933, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9898, recall: 0.88, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6671, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, build_cpu_time: 35.1205, build_memory: 917512764, f_measure: 0.8721, kappa: 0.7408, kb_relative_information_score: 183.8353, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8723, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7152, scimark_benchmark: 944.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, build_cpu_time: 14.7534, build_memory: 572886407.2, f_measure: 0.8958, kappa: 0.7881, kb_relative_information_score: 196.8785, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6497, scimark_benchmark: 943.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, build_cpu_time: 6.5757, build_memory: 197785914.4, f_measure: 0.8835, kappa: 0.763, kb_relative_information_score: 191.0658, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8844, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6812, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, build_cpu_time: 1.8258, build_memory: 924933176, f_measure: 0.8874, kappa: 0.7709, kb_relative_information_score: 190.6387, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8888, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6681, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, build_cpu_time: 0.8699, build_memory: 1539792260, f_measure: 0.8876, kappa: 0.7714, kb_relative_information_score: 190.4754, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6543, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, build_cpu_time: 0.0993, build_memory: 745050607.2, f_measure: 0.9039, kappa: 0.8048, kb_relative_information_score: 199.0085, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.9898, recall: 0.904, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5782, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, build_cpu_time: 0.4348, build_memory: 178734851.2, f_measure: 0.9037, kappa: 0.8041, kb_relative_information_score: 200.8179, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9044, predictive_accuracy: 0.904, prior_entropy: 0.9898, recall: 0.904, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6144, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, build_cpu_time: 0.7712, build_memory: 1263332237.6, f_measure: 0.8997, kappa: 0.7961, kb_relative_information_score: 198.9138, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 0.9898, recall: 0.9, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.63, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, build_cpu_time: 1.7249, build_memory: 767876318.4, f_measure: 0.8715, kappa: 0.7387, kb_relative_information_score: 186.3009, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7025, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, build_cpu_time: 0.1373, build_memory: 982189014.4, f_measure: 0.9117, kappa: 0.8204, kb_relative_information_score: 204.26, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9125, predictive_accuracy: 0.912, prior_entropy: 0.9898, recall: 0.912, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5624, scimark_benchmark: 945.5885,

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