OpenML
Supervised Classification on fri_c1_100_50

Supervised Classification on fri_c1_100_50

Task 3740 Supervised Classification fri_c1_100_50 571 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7978, kappa: 0.5881, kb_relative_information_score: 56.5615, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8888, scimark_benchmark: 926.5859, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.756, kappa: 0.5033, kb_relative_information_score: 53.0051, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7622, predictive_accuracy: 0.76, prior_entropy: 0.99, recall: 0.76, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9059, scimark_benchmark: 935.6052, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.7433, kappa: 0.4787, kb_relative_information_score: 50.3435, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7562, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9195, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7124, kappa: 0.4255, kb_relative_information_score: 42.2644, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7579, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9555, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.6346, kappa: 0.2869, kb_relative_information_score: 33.6729, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7069, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0564, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7906, kappa: 0.577, kb_relative_information_score: 55.6267, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7926, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8979, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7871, kappa: 0.5665, kb_relative_information_score: 18.0496, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7923, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8834, scimark_benchmark: 935.8024, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.5, kappa: -0.0146, kb_relative_information_score: -3.4677, mean_absolute_error: 0.5063, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 0.99, recall: 0.5, relative_absolute_error: 1.0271, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5283, root_relative_squared_error: 1.0644, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 18.3683, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.938, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7882, kappa: 0.5686, kb_relative_information_score: 43.8861, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7904, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.5862, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7673, scimark_benchmark: 919.6941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.6696, kappa: 0.3287, kb_relative_information_score: 29.8115, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6693, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0072, scimark_benchmark: 907.1091, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5391, kappa: 0.1095, kb_relative_information_score: 16.2978, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5894, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2899, scimark_benchmark: 928.8135, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.6675, kappa: 0.3277, kb_relative_information_score: 19.4721, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.684, predictive_accuracy: 0.68, prior_entropy: 0.99, recall: 0.68, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8936, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.5843, kappa: 0.1536, kb_relative_information_score: 10.7704, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5845, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5202, root_relative_squared_error: 1.0479, scimark_benchmark: 922.5036, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7708, kappa: 0.5389, kb_relative_information_score: 44.6778, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7755, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.92, scimark_benchmark: 952.4682, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6543, kappa: 0.2964, kb_relative_information_score: 12.5068, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6574, predictive_accuracy: 0.66, prior_entropy: 0.99, recall: 0.66, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9201, scimark_benchmark: 942.3809, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 18.3683, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.938, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5391, kappa: 0.1095, kb_relative_information_score: 16.2978, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5894, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2899, scimark_benchmark: 1324.1205, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6617, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7708, kappa: 0.5389, kb_relative_information_score: 44.6778, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7755, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.92, scimark_benchmark: 1327.5842, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6617, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.6675, kappa: 0.3277, kb_relative_information_score: 19.4721, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.684, predictive_accuracy: 0.68, prior_entropy: 0.99, recall: 0.68, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8936, scimark_benchmark: 926.6704, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7708, kappa: 0.5389, kb_relative_information_score: 44.6778, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7755, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.92, scimark_benchmark: 1278.9821, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5391, kappa: 0.1095, kb_relative_information_score: 16.2978, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5894, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2899, scimark_benchmark: 1342.8632, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6543, kappa: 0.2964, kb_relative_information_score: 12.5068, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6574, predictive_accuracy: 0.66, prior_entropy: 0.99, recall: 0.66, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9201, scimark_benchmark: 1342.8632, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 18.3683, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.938, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6617, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6543, kappa: 0.2964, kb_relative_information_score: 12.5068, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6574, predictive_accuracy: 0.66, prior_entropy: 0.99, recall: 0.66, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9201, scimark_benchmark: 1281.7531, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 18.3683, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.938, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7882, kappa: 0.5686, kb_relative_information_score: 43.8861, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7904, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.5862, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7673, scimark_benchmark: 1371.9645, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6617, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.6675, kappa: 0.3277, kb_relative_information_score: 19.4721, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.684, predictive_accuracy: 0.68, prior_entropy: 0.99, recall: 0.68, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8936, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.5843, kappa: 0.1536, kb_relative_information_score: 10.7704, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5845, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5202, root_relative_squared_error: 1.0479, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6617, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.6675, kappa: 0.3277, kb_relative_information_score: 19.4721, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.684, predictive_accuracy: 0.68, prior_entropy: 0.99, recall: 0.68, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8936, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7708, kappa: 0.5389, kb_relative_information_score: 44.6778, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7755, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.92, scimark_benchmark: 1341.5795, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 18.3683, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.938, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6617, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.6696, kappa: 0.3287, kb_relative_information_score: 29.8115, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6693, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0072, scimark_benchmark: 1315.933, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.629, kappa: 0.2832, kb_relative_information_score: 17.6682, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7199, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9362, scimark_benchmark: 926.6704,

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