Task
Supervised Classification on fri_c0_100_25

Supervised Classification on fri_c0_100_25

Task 4457 Supervised Classification fri_c0_100_25 229 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6769, kappa: 0.354, kb_relative_information_score: 244.0206, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.6773, predictive_accuracy: 0.677, prior_entropy: 1, recall: 0.677, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9688, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.724, kappa: 0.448, kb_relative_information_score: 353.2019, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.724, predictive_accuracy: 0.724, prior_entropy: 1, recall: 0.724, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8791, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.691, kappa: 0.382, kb_relative_information_score: 341.6941, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.691, predictive_accuracy: 0.691, prior_entropy: 1, recall: 0.691, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9869, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7709, kappa: 0.542, kb_relative_information_score: 542, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7712, predictive_accuracy: 0.771, prior_entropy: 1, recall: 0.771, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9571, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.735, kappa: 0.47, kb_relative_information_score: 281.0467, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.735, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8552, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.776, kappa: 0.552, kb_relative_information_score: 431.8242, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7929, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.7348, kappa: 0.47, kb_relative_information_score: 354.2428, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7358, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9194, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.756, kappa: 0.512, kb_relative_information_score: 225.6649, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.756, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8552, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7709, kappa: 0.542, kb_relative_information_score: 542, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7712, predictive_accuracy: 0.771, prior_entropy: 1, recall: 0.771, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9571, scimark_benchmark: 938.5498, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7709, kappa: 0.542, kb_relative_information_score: 542, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7712, predictive_accuracy: 0.771, prior_entropy: 1, recall: 0.771, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9571, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.756, kappa: 0.512, kb_relative_information_score: 225.6649, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.756, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8552, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6769, kappa: 0.354, kb_relative_information_score: 244.0206, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.6773, predictive_accuracy: 0.677, prior_entropy: 1, recall: 0.677, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9688, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.724, kappa: 0.448, kb_relative_information_score: 353.2019, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.724, predictive_accuracy: 0.724, prior_entropy: 1, recall: 0.724, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8791, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.691, kappa: 0.382, kb_relative_information_score: 341.6941, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.691, predictive_accuracy: 0.691, prior_entropy: 1, recall: 0.691, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9869, scimark_benchmark: 940.1541, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7709, kappa: 0.542, kb_relative_information_score: 542, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7712, predictive_accuracy: 0.771, prior_entropy: 1, recall: 0.771, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9571, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7709, kappa: 0.542, kb_relative_information_score: 542, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7712, predictive_accuracy: 0.771, prior_entropy: 1, recall: 0.771, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9571, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.735, kappa: 0.47, kb_relative_information_score: 281.0467, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.735, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8552, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.776, kappa: 0.552, kb_relative_information_score: 431.8242, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7929, scimark_benchmark: 936.3213, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.7348, kappa: 0.47, kb_relative_information_score: 354.2428, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7358, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9194, scimark_benchmark: 936.9595, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.756, kappa: 0.512, kb_relative_information_score: 225.6649, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.756, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8552, scimark_benchmark: 936.9595, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.791, kappa: 0.582, kb_relative_information_score: 305.5135, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.791, prior_entropy: 1, recall: 0.791, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8073, scimark_benchmark: 901.4991, usercpu_time_millis: 1470, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 311.1614, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8041, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8057, scimark_benchmark: 906.5979, usercpu_time_millis: 800, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.781, kappa: 0.562, kb_relative_information_score: 298.5284, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.781, predictive_accuracy: 0.781, prior_entropy: 1, recall: 0.781, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.41, root_relative_squared_error: 0.82, scimark_benchmark: 935.3212, usercpu_time_millis: 420, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.769, kappa: 0.538, kb_relative_information_score: 298.1966, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.769, predictive_accuracy: 0.769, prior_entropy: 1, recall: 0.769, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8263, scimark_benchmark: 921.2615, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7339, kappa: 0.468, kb_relative_information_score: 285.0079, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7342, predictive_accuracy: 0.734, prior_entropy: 1, recall: 0.734, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8578, scimark_benchmark: 914.3583, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7579, kappa: 0.516, kb_relative_information_score: 504.8955, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7583, predictive_accuracy: 0.758, prior_entropy: 1, recall: 0.758, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9366, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.756, kappa: 0.512, kb_relative_information_score: 500.8326, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7562, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9375, scimark_benchmark: 930.0565, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7529, kappa: 0.506, kb_relative_information_score: 490.1729, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.753, prior_entropy: 1, recall: 0.753, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9311, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.734, kappa: 0.468, kb_relative_information_score: 446.9083, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.734, predictive_accuracy: 0.734, prior_entropy: 1, recall: 0.734, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9339, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7579, kappa: 0.516, kb_relative_information_score: 471.1478, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7583, predictive_accuracy: 0.758, prior_entropy: 1, recall: 0.758, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8558, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7569, kappa: 0.514, kb_relative_information_score: 510.2668, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7574, predictive_accuracy: 0.757, prior_entropy: 1, recall: 0.757, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9488, scimark_benchmark: 926.5859, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7468, kappa: 0.494, kb_relative_information_score: 489.8883, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7477, predictive_accuracy: 0.747, prior_entropy: 1, recall: 0.747, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9527, scimark_benchmark: 929.0296, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7254, kappa: 0.454, kb_relative_information_score: 439.0389, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7325, predictive_accuracy: 0.727, prior_entropy: 1, recall: 0.727, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9552, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.683, kappa: 0.366, kb_relative_information_score: 244.373, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.6831, predictive_accuracy: 0.683, prior_entropy: 1, recall: 0.683, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.933, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 1338.5214,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.683, kappa: 0.366, kb_relative_information_score: 244.373, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.6831, predictive_accuracy: 0.683, prior_entropy: 1, recall: 0.683, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.933, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6769, kappa: 0.354, kb_relative_information_score: 244.0206, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.6773, predictive_accuracy: 0.677, prior_entropy: 1, recall: 0.677, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9688, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.683, kappa: 0.366, kb_relative_information_score: 244.373, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.6831, predictive_accuracy: 0.683, prior_entropy: 1, recall: 0.683, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.933, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.682, kappa: 0.364, kb_relative_information_score: 245.2655, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.682, predictive_accuracy: 0.682, prior_entropy: 1, recall: 0.682, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.735, kappa: 0.47, kb_relative_information_score: 281.0467, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.735, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8552, scimark_benchmark: 1342.8584,

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