Task
Supervised Classification on trains

Supervised Classification on trains

Task 1931 Supervised Classification trains 216 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 63.9036, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 32.7934, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9295, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 38.6463, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.0965, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -100, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 100, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -100, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 100, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 941.3142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 37.4656, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9792, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 22.401, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5538, root_relative_squared_error: 1.1076, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3946, f_measure: 0.4286, kappa: -0.14, kb_relative_information_score: -7.7762, mean_absolute_error: 0.5332, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.4293, predictive_accuracy: 0.43, prior_entropy: 1, recall: 0.43, relative_absolute_error: 1.0664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5581, root_relative_squared_error: 1.1161, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.4949, kb_relative_information_score: 4.9857, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0178, scimark_benchmark: 943.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 22.401, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5538, root_relative_squared_error: 1.1076, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5489, kappa: 0.1, kb_relative_information_score: 4.6458, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5505, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -100, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 100, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 937.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 37.4656, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9792, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 22.401, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5538, root_relative_squared_error: 1.1076, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 34.6054, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5489, kappa: 0.1, kb_relative_information_score: 4.6458, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5505, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 943.1009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 63.9036, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 32.7934, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9295, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 38.6463, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.0965, scimark_benchmark: 608.4057, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -100, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 100, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 730.6551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -100, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 100, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 22.401, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5538, root_relative_squared_error: 1.1076, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 22.401, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5538, root_relative_squared_error: 1.1076, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 22.401, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5538, root_relative_squared_error: 1.1076, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 22.401, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5538, root_relative_squared_error: 1.1076, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3946, f_measure: 0.4286, kappa: -0.14, kb_relative_information_score: -7.7762, mean_absolute_error: 0.5332, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.4293, predictive_accuracy: 0.43, prior_entropy: 1, recall: 0.43, relative_absolute_error: 1.0664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5581, root_relative_squared_error: 1.1161, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.4949, kb_relative_information_score: 4.9857, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0178, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 22.401, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5538, root_relative_squared_error: 1.1076, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 34.6054, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 936.3213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5489, kappa: 0.1, kb_relative_information_score: 4.6458, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5505, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 901.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.67, kappa: 0.34, kb_relative_information_score: 16.9161, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6701, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9194, scimark_benchmark: 940.1221, usercpu_time_millis: 410, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.63, kappa: 0.26, kb_relative_information_score: 14.6049, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6301, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9418, scimark_benchmark: 942.2392, usercpu_time_millis: 280, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6377, kappa: 0.28, kb_relative_information_score: 15.8063, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6437, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9291, scimark_benchmark: 917.2109, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.67, kappa: 0.34, kb_relative_information_score: 16.0443, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6701, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9382, scimark_benchmark: 942.5233, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6497, kappa: 0.3, kb_relative_information_score: 15.5124, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9527, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 34.8778, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.1116, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 34.8778, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.1116, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 34.8778, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.1116, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 34.8746, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.1116, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.619, kappa: 0.26, kb_relative_information_score: 22.6927, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.647, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5954, root_relative_squared_error: 1.1907, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -12.5532, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.5, number_of_instances: 100, prior_entropy: 1, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0909, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.6198, kappa: 0.24, kb_relative_information_score: 24, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6202, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2329, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6198, kappa: 0.24, kb_relative_information_score: 24.9272, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6202, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6105, root_relative_squared_error: 1.221, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 22.401, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5538, root_relative_squared_error: 1.1076, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 34.6054, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 1320.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5489, kappa: 0.1, kb_relative_information_score: 4.6458, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5505, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 40, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 1319.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 32.7934, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9295, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -100, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 100, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 1350.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 38.6463, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.0965, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -100, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 100, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 1396.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.4949, kb_relative_information_score: 4.9857, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0178, scimark_benchmark: 1365.0842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5489, kappa: 0.1, kb_relative_information_score: 4.6458, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5505, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs