OpenML
Supervised Classification on triazines

Supervised Classification on triazines

Task 3653 Supervised Classification triazines 581 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7169, kappa: 0.4126, kb_relative_information_score: 49.5527, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7176, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8659, scimark_benchmark: 1059.8591, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7647, kappa: 0.5114, kb_relative_information_score: 71.2485, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7685, predictive_accuracy: 0.7688, prior_entropy: 0.979, recall: 0.7688, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7954, scimark_benchmark: 1322.7383, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7169, kappa: 0.4126, kb_relative_information_score: 49.5527, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7176, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8659, scimark_benchmark: 1328.941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7561, kappa: 0.4946, kb_relative_information_score: 84.9482, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7563, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8702, scimark_benchmark: 1327.9952, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7688, kappa: 0.52, kb_relative_information_score: 74.3767, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7758, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8433, scimark_benchmark: 916.6405, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 950.6776, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 1327.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7169, kappa: 0.4126, kb_relative_information_score: 49.5527, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7176, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8659, scimark_benchmark: 1342.4239, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7688, kappa: 0.52, kb_relative_information_score: 74.3767, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7758, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8433, scimark_benchmark: 833.3193, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 1338.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 1330.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7169, kappa: 0.4126, kb_relative_information_score: 49.5527, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7176, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8659, scimark_benchmark: 1338.9438, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.784, kappa: 0.5516, kb_relative_information_score: 90.225, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7959, predictive_accuracy: 0.7903, prior_entropy: 0.979, recall: 0.7903, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.832, scimark_benchmark: 1302.224, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 1349.9741, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.661, kappa: 0.3006, kb_relative_information_score: 56.1608, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6607, predictive_accuracy: 0.6613, prior_entropy: 0.979, recall: 0.6613, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9591, scimark_benchmark: 944.0517, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.6465, kappa: 0.2758, kb_relative_information_score: 30.7671, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6765, predictive_accuracy: 0.672, prior_entropy: 0.979, recall: 0.672, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9463, scimark_benchmark: 912.7324, usercpu_time_millis: 300, usercpu_time_millis_testing: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.7119, kappa: 0.4025, kb_relative_information_score: 71.2227, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7121, predictive_accuracy: 0.7151, prior_entropy: 0.979, recall: 0.7151, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9914, scimark_benchmark: 1316.7714, usercpu_time_millis: 600, usercpu_time_millis_testing: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.7199, kappa: 0.4216, kb_relative_information_score: 77.4299, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7195, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.0735, scimark_benchmark: 1327.9121, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7798, kappa: 0.5428, kb_relative_information_score: 102.4646, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7873, predictive_accuracy: 0.7849, prior_entropy: 0.979, recall: 0.7849, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9415, scimark_benchmark: 1288.1375, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7866, kappa: 0.5569, kb_relative_information_score: 70.6706, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.791, predictive_accuracy: 0.7903, prior_entropy: 0.979, recall: 0.7903, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7767, scimark_benchmark: 1311.1837, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1119.7102, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1310.6407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.8001, kappa: 0.5853, kb_relative_information_score: 84.3138, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8147, predictive_accuracy: 0.8065, prior_entropy: 0.979, recall: 0.8065, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8082, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.772, kappa: 0.5274, kb_relative_information_score: 87.1997, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7728, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7887, scimark_benchmark: 1368.9272, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8046, kappa: 0.5949, kb_relative_information_score: 82.8871, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8058, predictive_accuracy: 0.8065, prior_entropy: 0.979, recall: 0.8065, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7786, scimark_benchmark: 918.0213, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.783, kappa: 0.5498, kb_relative_information_score: 73.091, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7982, predictive_accuracy: 0.7903, prior_entropy: 0.979, recall: 0.7903, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7875, scimark_benchmark: 882.7843, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7471, kappa: 0.4764, kb_relative_information_score: 52.1244, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7673, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8611, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6714, kappa: 0.3361, kb_relative_information_score: 39.9398, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.738, predictive_accuracy: 0.7043, prior_entropy: 0.979, recall: 0.7043, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.9068, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7199, kappa: 0.4216, kb_relative_information_score: 50.0872, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7195, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9259, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7376, kappa: 0.4622, kb_relative_information_score: 60.7864, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7397, predictive_accuracy: 0.7366, prior_entropy: 0.979, recall: 0.7366, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9221, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7089, kappa: 0.3954, kb_relative_information_score: 75.3436, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7125, predictive_accuracy: 0.7151, prior_entropy: 0.979, recall: 0.7151, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5338, root_relative_squared_error: 1.0838, scimark_benchmark: 1313.9994, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 887.6719, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7293, kappa: 0.4396, kb_relative_information_score: 81.6023, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.729, predictive_accuracy: 0.7312, prior_entropy: 0.979, recall: 0.7312, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0526, scimark_benchmark: 1386.5717, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7077, kappa: 0.3947, kb_relative_information_score: 50.4232, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7072, predictive_accuracy: 0.7097, prior_entropy: 0.979, recall: 0.7097, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9093, scimark_benchmark: 1335.643, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7293, kappa: 0.4396, kb_relative_information_score: 81.6023, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.729, predictive_accuracy: 0.7312, prior_entropy: 0.979, recall: 0.7312, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0526, scimark_benchmark: 939.449, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7394, kappa: 0.4599, kb_relative_information_score: 66.4816, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7398, predictive_accuracy: 0.7419, prior_entropy: 0.979, recall: 0.7419, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8742, scimark_benchmark: 912.5006, usercpu_time_millis: 890, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7437, kappa: 0.4681, kb_relative_information_score: 73.0291, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7455, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8785, scimark_benchmark: 1372.2145, usercpu_time_millis: 2410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7573, kappa: 0.4985, kb_relative_information_score: 77.4146, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7569, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8122, scimark_benchmark: 1327.8711, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.7199, kappa: 0.4216, kb_relative_information_score: 78.4513, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7195, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0657, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7446, kappa: 0.4701, kb_relative_information_score: 67.3322, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7557, predictive_accuracy: 0.7527, prior_entropy: 0.979, recall: 0.7527, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8894, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7336, kappa: 0.4476, kb_relative_information_score: 72.5417, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7342, predictive_accuracy: 0.7366, prior_entropy: 0.979, recall: 0.7366, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.943, scimark_benchmark: 1355.7054, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7583, kappa: 0.5023, kb_relative_information_score: 92.0335, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7586, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9986, scimark_benchmark: 1291.6995, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.6692, kappa: 0.3333, kb_relative_information_score: 56.5676, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6815, predictive_accuracy: 0.6667, prior_entropy: 0.979, recall: 0.6667, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1722, scimark_benchmark: 1355.7054, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.8, kappa: 0.5861, kb_relative_information_score: 102.5585, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8001, predictive_accuracy: 0.8011, prior_entropy: 0.979, recall: 0.8011, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8293, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5863, kappa: 0.1411, kb_relative_information_score: 29.4466, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.586, predictive_accuracy: 0.5968, prior_entropy: 0.979, recall: 0.5968, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2892, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.7506, kappa: 0.485, kb_relative_information_score: 94.1197, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7784, predictive_accuracy: 0.7634, prior_entropy: 0.979, recall: 0.7634, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9875, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4821, f_measure: 0.4331, kb_relative_information_score: -0.0699, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0001, scimark_benchmark: 1503.3362,

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