Task
Supervised Classification on fri_c3_100_10

Supervised Classification on fri_c3_100_10

Task 3648 Supervised Classification fri_c3_100_10 799 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:

799 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 42.4711, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9451, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6656, kappa: 0.2979, kb_relative_information_score: 30.069, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6646, predictive_accuracy: 0.67, prior_entropy: 0.9721, recall: 0.67, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1726, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.7223, kappa: 0.4156, kb_relative_information_score: 42.7627, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7273, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0607, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.0157, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 52.4624, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8945, scimark_benchmark: 1605.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.6195, kappa: 0.1991, kb_relative_information_score: 19.0298, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6194, predictive_accuracy: 0.63, prior_entropy: 0.9721, recall: 0.63, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5666, root_relative_squared_error: 1.1566, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.602, kappa: 0.1631, kb_relative_information_score: 10.2658, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6001, predictive_accuracy: 0.61, prior_entropy: 0.9721, recall: 0.61, relative_absolute_error: 0.9021, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.0907, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.5845, kappa: 0.1277, kb_relative_information_score: 8.2283, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.582, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0627, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.5845, kappa: 0.1277, kb_relative_information_score: 8.2283, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.582, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0627, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.5845, kappa: 0.1277, kb_relative_information_score: 8.2283, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.582, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0627, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7576, kappa: 0.4915, kb_relative_information_score: 50.8552, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7576, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.926, scimark_benchmark: 936.7115, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 47.1546, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9466, scimark_benchmark: 936.6206, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7576, kappa: 0.4915, kb_relative_information_score: 46.83, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7576, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9208, scimark_benchmark: 911.3823, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7041, kappa: 0.3777, kb_relative_information_score: 34.0822, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7055, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0108, scimark_benchmark: 922.9039, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.6584, kappa: 0.2857, kb_relative_information_score: 25.9337, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6574, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0187, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 54.2226, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8792, scimark_benchmark: 936.6206, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7778, kappa: 0.5339, kb_relative_information_score: 49.7419, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7781, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8842, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7576, kappa: 0.4915, kb_relative_information_score: 42.2128, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7576, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9163, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.72, kappa: 0.4167, kb_relative_information_score: 30.9758, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9721, recall: 0.72, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9593, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.7115, kappa: 0.4033, kb_relative_information_score: 28.6066, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7143, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9383, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.0157, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.3907, kappa: 0.0559, kb_relative_information_score: -4.5058, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.596, predictive_accuracy: 0.46, prior_entropy: 0.9721, recall: 0.46, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5462, root_relative_squared_error: 1.115, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7482, kappa: 0.4726, kb_relative_information_score: 39.9315, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7477, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9053, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7904, kappa: 0.5643, kb_relative_information_score: 41.4008, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.791, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8319, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.0157, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7115, kappa: 0.4033, kb_relative_information_score: 29.0372, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7143, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9141, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 52.4624, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8945, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.8075, kappa: 0.5957, kb_relative_information_score: 9.2377, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9296, scimark_benchmark: 947.9494, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6112, kappa: 0.1892, kb_relative_information_score: 10.828, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6287, predictive_accuracy: 0.64, prior_entropy: 0.9721, recall: 0.64, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9378, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 941.8057, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 58.0021, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9008, scimark_benchmark: 945.3151, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 57.6303, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9111, scimark_benchmark: 929.566, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.702, kappa: 0.3852, kb_relative_information_score: 35.2617, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7062, predictive_accuracy: 0.7, prior_entropy: 0.9721, recall: 0.7, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0455, scimark_benchmark: 927.0753, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.613, kappa: 0.2041, kb_relative_information_score: 6.1601, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.619, predictive_accuracy: 0.61, prior_entropy: 0.9721, recall: 0.61, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5229, root_relative_squared_error: 1.0674, scimark_benchmark: 917.1386, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.741, kappa: 0.4628, kb_relative_information_score: 44.5128, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7425, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0092, scimark_benchmark: 935.8986, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.741, kappa: 0.4628, kb_relative_information_score: 44.5128, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7425, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0092, scimark_benchmark: 945.6434, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.5232, kappa: 0.0376, kb_relative_information_score: 1.3508, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5501, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0234, scimark_benchmark: 923.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 928.3108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.5353, kappa: 0.0254, kb_relative_information_score: 2.566, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5323, predictive_accuracy: 0.54, prior_entropy: 0.9721, recall: 0.54, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3844, scimark_benchmark: 799.2185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, build_cpu_time: 0.0484, build_memory: 721905734.4, f_measure: 0.5829, kappa: 0.1228, kb_relative_information_score: 7.1281, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5833, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0411, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, build_cpu_time: 0.0411, build_memory: 846562501.6, f_measure: 0.5829, kappa: 0.1228, kb_relative_information_score: 7.1281, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5833, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0411, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, build_cpu_time: 0.048, build_memory: 903402896, f_measure: 0.5829, kappa: 0.1228, kb_relative_information_score: 7.1281, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5833, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0411, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6113, build_cpu_time: 0.0381, build_memory: 788504115.2, f_measure: 0.5829, kappa: 0.1228, kb_relative_information_score: 7.7823, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5833, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0346, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, build_cpu_time: 0.0122, build_memory: 1136649538.4, f_measure: 0.7695, kappa: 0.5188, kb_relative_information_score: 46.3075, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7691, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8959, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, build_cpu_time: 0.0149, build_memory: 207624881.6, f_measure: 0.7683, kappa: 0.5148, kb_relative_information_score: 48.9041, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7681, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9061, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, build_cpu_time: 0.0299, build_memory: 248534052, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 54.2055, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8578, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, build_cpu_time: 0.0212, build_memory: 1160760368.8, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 51.3564, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8822, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, build_cpu_time: 0.0247, build_memory: 243465497.6, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 51.3564, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8822, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, build_cpu_time: 0.0041, build_memory: 432437637.6, f_measure: 0.741, kappa: 0.4628, kb_relative_information_score: 44.8784, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7425, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0408, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, build_cpu_time: 0.0024, build_memory: 30889644.8, f_measure: 0.741, kappa: 0.4628, kb_relative_information_score: 44.8784, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7425, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0408, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, build_cpu_time: 0.002, build_memory: 2056550208, f_measure: 0.741, kappa: 0.4628, kb_relative_information_score: 44.8784, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7425, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0408, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, build_cpu_time: 0.0017, build_memory: 2072838780.8, f_measure: 0.741, kappa: 0.4628, kb_relative_information_score: 44.8784, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7425, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0408, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, build_cpu_time: 0.0013, build_memory: 221047720, f_measure: 0.741, kappa: 0.4628, kb_relative_information_score: 44.8784, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7425, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0408, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, build_cpu_time: 0.0243, build_memory: 789528688, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 36.1757, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7896, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, build_cpu_time: 0.0241, build_memory: 1208317911.2, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 36.1757, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7896, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, build_cpu_time: 0.0355, build_memory: 1131227296, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 36.1757, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7896, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, build_cpu_time: 0.0378, build_memory: 799499393.6, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 36.1757, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7896, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, build_cpu_time: 0.0397, build_memory: 888838892.8, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 36.1757, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7896, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, build_cpu_time: 0.0502, build_memory: 327370965.6, f_measure: 0.7374, kappa: 0.4492, kb_relative_information_score: 44.4311, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7372, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0313, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, build_cpu_time: 0.0277, build_memory: 1199631055.2, f_measure: 0.7495, kappa: 0.477, kb_relative_information_score: 47.3328, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.995, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, build_cpu_time: 0.0199, build_memory: 1083298038.4, f_measure: 0.6969, kappa: 0.3644, kb_relative_information_score: 36.0443, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6962, predictive_accuracy: 0.7, prior_entropy: 0.9721, recall: 0.7, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.0775, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, build_cpu_time: 0.0064, build_memory: 1273168312, f_measure: 0.6906, kappa: 0.3568, kb_relative_information_score: 34.8171, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6914, predictive_accuracy: 0.69, prior_entropy: 0.9721, recall: 0.69, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0638, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, build_cpu_time: 0.0036, build_memory: 152649398.4, f_measure: 0.6986, kappa: 0.3697, kb_relative_information_score: 36.2468, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6978, predictive_accuracy: 0.7, prior_entropy: 0.9721, recall: 0.7, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9739, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, build_cpu_time: 0.0049, build_memory: 1517089417.6, f_measure: 0.5845, kappa: 0.1277, kb_relative_information_score: 8.2283, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.582, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0627, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, build_cpu_time: 0.0053, build_memory: 1300405353.6, f_measure: 0.5845, kappa: 0.1277, kb_relative_information_score: 8.2283, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.582, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0627, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, build_cpu_time: 0.0056, build_memory: 659945898.4, f_measure: 0.5845, kappa: 0.1277, kb_relative_information_score: 8.2283, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.582, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0627, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, build_cpu_time: 0.0066, build_memory: 1176310405.6, f_measure: 0.5845, kappa: 0.1277, kb_relative_information_score: 8.2283, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.582, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0627, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, build_cpu_time: 0.0085, build_memory: 532758505.6, f_measure: 0.5845, kappa: 0.1277, kb_relative_information_score: 8.2283, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.582, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0627, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, build_cpu_time: 0.6321, build_memory: 827122876, f_measure: 0.7505, kappa: 0.4813, kb_relative_information_score: 46.7478, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7511, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9604, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, build_cpu_time: 1.2208, build_memory: 718373612.8, f_measure: 0.7505, kappa: 0.4813, kb_relative_information_score: 46.6337, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7511, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9836, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, build_cpu_time: 2.4887, build_memory: 914258270.4, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 56.006, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8907, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, build_cpu_time: 5.4624, build_memory: 826743832, f_measure: 0.8, kappa: 0.5833, kb_relative_information_score: 57.5262, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.899, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 11.8961, build_memory: 1123413424.8, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 58.05, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9008, scimark_benchmark: 888.7575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, build_cpu_time: 6.7831, build_memory: 340576017.6, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 55.3109, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9355, scimark_benchmark: 931.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, build_cpu_time: 3.4937, build_memory: 127431900.8, f_measure: 0.7683, kappa: 0.5148, kb_relative_information_score: 51.2787, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7681, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9754, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, build_cpu_time: 1.6652, build_memory: 749998192, f_measure: 0.76, kappa: 0.5, kb_relative_information_score: 47.4744, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9895, scimark_benchmark: 936.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, build_cpu_time: 0.8385, build_memory: 1919911149.6, f_measure: 0.7305, kappa: 0.4398, kb_relative_information_score: 42.635, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7312, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.0344, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, build_cpu_time: 0.3797, build_memory: 882807087.2, f_measure: 0.7589, kappa: 0.4958, kb_relative_information_score: 43.6563, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7584, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9859, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, build_cpu_time: 0.0774, build_memory: 47243129.6, f_measure: 0.7895, kappa: 0.5607, kb_relative_information_score: 54.7017, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7892, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.893, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, build_cpu_time: 0.1469, build_memory: 1353556222.4, f_measure: 0.7695, kappa: 0.5188, kb_relative_information_score: 51.8586, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7691, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9438, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, build_cpu_time: 0.3274, build_memory: 229043162.4, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 54.4793, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9119, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, build_cpu_time: 1.2352, build_memory: 390615124, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 55.3206, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.458, root_relative_squared_error: 0.935, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, build_cpu_time: 0.0695, build_memory: 318445440.8, f_measure: 0.7094, kappa: 0.3933, kb_relative_information_score: 41.6232, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7089, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0106, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, build_cpu_time: 0.0825, build_memory: 1375077802.4, f_measure: 0.7094, kappa: 0.3933, kb_relative_information_score: 41.6232, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7089, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0106, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, build_cpu_time: 0.0547, build_memory: 2868863516, f_measure: 0.6986, kappa: 0.3697, kb_relative_information_score: 40.5927, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6978, predictive_accuracy: 0.7, prior_entropy: 0.9721, recall: 0.7, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0206, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, build_cpu_time: 0.0377, build_memory: 176444652, f_measure: 0.7011, kappa: 0.3802, kb_relative_information_score: 39.9704, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7028, predictive_accuracy: 0.7, prior_entropy: 0.9721, recall: 0.7, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0254, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, build_cpu_time: 0.022, build_memory: 874543993.6, f_measure: 0.7122, kappa: 0.4082, kb_relative_information_score: 38.3441, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.718, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0176, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, build_cpu_time: 0.0204, build_memory: 991443336.8, f_measure: 0.8086, kappa: 0.5992, kb_relative_information_score: 57.2987, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8088, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.891, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, build_cpu_time: 0.0251, build_memory: 346276898.4, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 58.3058, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8837, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, build_cpu_time: 0.0533, build_memory: 658307661.6, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 58.0201, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8994, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, build_cpu_time: 0.1231, build_memory: 331883079.2, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 58.0021, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9008, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, build_cpu_time: 0.2485, build_memory: 52357747.2, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 57.6303, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9111, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, build_cpu_time: 0.0118, build_memory: 971973927.2, f_measure: 0.6, kappa: 0.1667, kb_relative_information_score: 14.9353, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2771, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, build_cpu_time: 0.0067, build_memory: 670629280.8, f_measure: 0.6, kappa: 0.1667, kb_relative_information_score: 14.9353, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2771, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, build_cpu_time: 0.0046, build_memory: 1027439579.2, f_measure: 0.6, kappa: 0.1667, kb_relative_information_score: 14.9353, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2771, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, build_cpu_time: 0.1408, build_memory: 27852604, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 51.5743, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8822, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, build_cpu_time: 0.409, build_memory: 770251312, f_measure: 0.7895, kappa: 0.5607, kb_relative_information_score: 55.9595, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7892, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9053, scimark_benchmark: 923.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, build_cpu_time: 0.2016, build_memory: 877867855.2, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 58.3712, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8711, scimark_benchmark: 947.7459,

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