Task
Supervised Classification on segment

Supervised Classification on segment

Task 266 Supervised Classification segment 322 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9261, kappa: 0.9142, kb_relative_information_score: 701.8543, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.927, predictive_accuracy: 0.9265, prior_entropy: 2.8074, recall: 0.9265, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.3841, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9125, kappa: 0.8974, kb_relative_information_score: 670.5478, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9156, predictive_accuracy: 0.9121, prior_entropy: 2.8074, recall: 0.9121, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4032, scimark_benchmark: 851.2074, usercpu_time_millis: 1790, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.5497, kappa: 0.4277, kb_relative_information_score: 352.9765, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8796, predictive_accuracy: 0.5026, prior_entropy: 2.8074, recall: 0.5026, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.377, root_relative_squared_error: 1.0773, scimark_benchmark: 941.6675, usercpu_time_millis: 4270, usercpu_time_millis_testing: 1890, usercpu_time_millis_training: 2380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9461, kappa: 0.9372, kb_relative_information_score: 710.9411, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9468, predictive_accuracy: 0.9462, prior_entropy: 2.8074, recall: 0.9462, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.298, scimark_benchmark: 941.6675, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9685, kappa: 0.9632, kb_relative_information_score: 720.0383, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 2.8074, recall: 0.9685, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2515, scimark_benchmark: 931.771, usercpu_time_millis: 1100, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.5497, kappa: 0.4277, kb_relative_information_score: 352.9765, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8796, predictive_accuracy: 0.5026, prior_entropy: 2.8074, recall: 0.5026, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.377, root_relative_squared_error: 1.0773, scimark_benchmark: 937.5117, usercpu_time_millis: 3810, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 974.2014, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.93, kappa: 0.9188, kb_relative_information_score: 678.6725, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9331, predictive_accuracy: 0.9304, prior_entropy: 2.8074, recall: 0.9304, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3857, scimark_benchmark: 943.1009, usercpu_time_millis: 5970, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9685, kappa: 0.9632, kb_relative_information_score: 720.0383, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 2.8074, recall: 0.9685, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2515, scimark_benchmark: 943.1009, usercpu_time_millis: 1160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9261, kappa: 0.9142, kb_relative_information_score: 701.8543, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.927, predictive_accuracy: 0.9265, prior_entropy: 2.8074, recall: 0.9265, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.3841, scimark_benchmark: 819.5729, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9125, kappa: 0.8974, kb_relative_information_score: 670.5478, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9156, predictive_accuracy: 0.9121, prior_entropy: 2.8074, recall: 0.9121, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4032, scimark_benchmark: 936.2574, usercpu_time_millis: 1520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.5497, kappa: 0.4277, kb_relative_information_score: 352.9765, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8796, predictive_accuracy: 0.5026, prior_entropy: 2.8074, recall: 0.5026, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.377, root_relative_squared_error: 1.0773, scimark_benchmark: 927.2882, usercpu_time_millis: 4310, usercpu_time_millis_testing: 1750, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9184, kappa: 0.905, kb_relative_information_score: 697.3307, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9189, predictive_accuracy: 0.9186, prior_entropy: 2.8074, recall: 0.9186, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4007, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 938.1282, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 933.3455, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9461, kappa: 0.9372, kb_relative_information_score: 710.9411, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9468, predictive_accuracy: 0.9462, prior_entropy: 2.8074, recall: 0.9462, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.298, scimark_benchmark: 933.3455, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 932.438, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9685, kappa: 0.9632, kb_relative_information_score: 720.0383, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 2.8074, recall: 0.9685, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2515, scimark_benchmark: 936.9595, usercpu_time_millis: 900, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9712, kappa: 0.9663, kb_relative_information_score: 726.3129, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9719, predictive_accuracy: 0.9711, prior_entropy: 2.8074, recall: 0.9711, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2251, scimark_benchmark: 938.4601, usercpu_time_millis: 26900, usercpu_time_millis_testing: 8200, usercpu_time_millis_training: 18700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9711, kappa: 0.9663, kb_relative_information_score: 727.3408, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9718, predictive_accuracy: 0.9711, prior_entropy: 2.8074, recall: 0.9711, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.2237, scimark_benchmark: 943.2803, usercpu_time_millis: 14670, usercpu_time_millis_testing: 4460, usercpu_time_millis_training: 10210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9712, kappa: 0.9663, kb_relative_information_score: 724.6256, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9719, predictive_accuracy: 0.9711, prior_entropy: 2.8074, recall: 0.9711, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.2325, scimark_benchmark: 935.0213, usercpu_time_millis: 5840, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 4770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9725, kappa: 0.9678, kb_relative_information_score: 727.7609, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9729, predictive_accuracy: 0.9724, prior_entropy: 2.8074, recall: 0.9724, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.079, root_relative_squared_error: 0.2258, scimark_benchmark: 932.4744, usercpu_time_millis: 2710, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9686, kappa: 0.9632, kb_relative_information_score: 724.5342, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 2.8074, recall: 0.9685, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.242, scimark_benchmark: 936.7184, usercpu_time_millis: 1430, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8074, kappa: 0.7871, kb_relative_information_score: 488.351, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8207, predictive_accuracy: 0.8176, prior_entropy: 2.8074, recall: 0.8176, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.6354, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.1174, kappa: 0.154, kb_relative_information_score: 234.3948, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.0752, predictive_accuracy: 0.2717, prior_entropy: 2.8074, recall: 0.2717, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.931, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.1174, kappa: 0.154, kb_relative_information_score: 234.3948, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.0752, predictive_accuracy: 0.2717, prior_entropy: 2.8074, recall: 0.2717, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.931, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.1174, kappa: 0.154, kb_relative_information_score: 234.3948, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.0752, predictive_accuracy: 0.2717, prior_entropy: 2.8074, recall: 0.2717, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.931, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.1174, kappa: 0.154, kb_relative_information_score: 234.3948, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.0752, predictive_accuracy: 0.2717, prior_entropy: 2.8074, recall: 0.2717, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.931, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.1174, kappa: 0.154, kb_relative_information_score: 234.3948, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.0752, predictive_accuracy: 0.2717, prior_entropy: 2.8074, recall: 0.2717, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.931, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0266, kb_relative_information_score: 40.0033, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.0149, predictive_accuracy: 0.122, prior_entropy: 2.8074, recall: 0.122, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.4313, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9675, kappa: 0.9617, kb_relative_information_score: 726.0914, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9683, predictive_accuracy: 0.9672, prior_entropy: 2.8074, recall: 0.9672, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2418, scimark_benchmark: 926.5859, usercpu_time_millis: 1000, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9623, kappa: 0.9556, kb_relative_information_score: 720.321, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9633, predictive_accuracy: 0.9619, prior_entropy: 2.8074, recall: 0.9619, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.252, scimark_benchmark: 936.7184, usercpu_time_millis: 8170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 8140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.4086, kappa: 0.4441, kb_relative_information_score: 235.8374, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.369, predictive_accuracy: 0.5197, prior_entropy: 2.8074, recall: 0.5197, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.8832, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1317.5857, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9685, kappa: 0.9632, kb_relative_information_score: 720.0383, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 2.8074, recall: 0.9685, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2515, scimark_benchmark: 1374.9737, usercpu_time_millis: 800, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9261, kappa: 0.9142, kb_relative_information_score: 701.8543, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.927, predictive_accuracy: 0.9265, prior_entropy: 2.8074, recall: 0.9265, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.3841, scimark_benchmark: 1347.1763, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.5497, kappa: 0.4277, kb_relative_information_score: 352.9765, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8796, predictive_accuracy: 0.5026, prior_entropy: 2.8074, recall: 0.5026, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.377, root_relative_squared_error: 1.0773, scimark_benchmark: 1316.5668, usercpu_time_millis: 5370, usercpu_time_millis_testing: 2260, usercpu_time_millis_training: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9184, kappa: 0.905, kb_relative_information_score: 697.3307, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9189, predictive_accuracy: 0.9186, prior_entropy: 2.8074, recall: 0.9186, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4007, scimark_benchmark: 1342.8584, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1337.9552, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9461, kappa: 0.9372, kb_relative_information_score: 710.9411, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9468, predictive_accuracy: 0.9462, prior_entropy: 2.8074, recall: 0.9462, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.298, scimark_benchmark: 1337.9552, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1354.5533, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9184, kappa: 0.905, kb_relative_information_score: 697.3307, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9189, predictive_accuracy: 0.9186, prior_entropy: 2.8074, recall: 0.9186, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4007, scimark_benchmark: 1321.8321, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1325.4787, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1350.7721, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1326.2019, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.93, kappa: 0.9188, kb_relative_information_score: 678.6725, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9331, predictive_accuracy: 0.9304, prior_entropy: 2.8074, recall: 0.9304, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3857, scimark_benchmark: 1346.1568, usercpu_time_millis: 7930, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 7670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9685, kappa: 0.9632, kb_relative_information_score: 720.0383, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 2.8074, recall: 0.9685, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2515, scimark_benchmark: 1367.3264, usercpu_time_millis: 770, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9261, kappa: 0.9142, kb_relative_information_score: 701.8543, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.927, predictive_accuracy: 0.9265, prior_entropy: 2.8074, recall: 0.9265, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.3841, scimark_benchmark: 1310.3168, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9125, kappa: 0.8974, kb_relative_information_score: 670.5478, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9156, predictive_accuracy: 0.9121, prior_entropy: 2.8074, recall: 0.9121, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4032, scimark_benchmark: 1253.0071, usercpu_time_millis: 1090, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1322.2005, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9461, kappa: 0.9372, kb_relative_information_score: 710.9411, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9468, predictive_accuracy: 0.9462, prior_entropy: 2.8074, recall: 0.9462, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.298, scimark_benchmark: 1371.174, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1365.0842, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9261, kappa: 0.9142, kb_relative_information_score: 701.8543, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.927, predictive_accuracy: 0.9265, prior_entropy: 2.8074, recall: 0.9265, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.3841, scimark_benchmark: 1348.2804, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.5497, kappa: 0.4277, kb_relative_information_score: 352.9765, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8796, predictive_accuracy: 0.5026, prior_entropy: 2.8074, recall: 0.5026, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.377, root_relative_squared_error: 1.0773, scimark_benchmark: 1359.7293, usercpu_time_millis: 5040, usercpu_time_millis_testing: 1970, usercpu_time_millis_training: 3070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1274.7011, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1397.3209, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1373.7859, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.93, kappa: 0.9188, kb_relative_information_score: 678.6725, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9331, predictive_accuracy: 0.9304, prior_entropy: 2.8074, recall: 0.9304, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3857, scimark_benchmark: 1373.7859, usercpu_time_millis: 7990, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 7740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9685, kappa: 0.9632, kb_relative_information_score: 720.0383, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 2.8074, recall: 0.9685, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2515, scimark_benchmark: 1351.1238, usercpu_time_millis: 690, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.5497, kappa: 0.4277, kb_relative_information_score: 352.9765, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8796, predictive_accuracy: 0.5026, prior_entropy: 2.8074, recall: 0.5026, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.377, root_relative_squared_error: 1.0773, scimark_benchmark: 1334.1324, usercpu_time_millis: 6530, usercpu_time_millis_testing: 3630, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9542, kappa: 0.9464, kb_relative_information_score: 724.8003, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3001, scimark_benchmark: 1347.993, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9685, kappa: 0.9632, kb_relative_information_score: 720.0383, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 2.8074, recall: 0.9685, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2515, scimark_benchmark: 1322.7257, usercpu_time_millis: 690, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 630,

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