OpenML
Supervised Classification on fri_c4_100_50

Supervised Classification on fri_c4_100_50

Task 3795 Supervised Classification fri_c4_100_50 587 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6991, kappa: 0.3883, kb_relative_information_score: 31.8921, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6989, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0396, scimark_benchmark: 934.695, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 15.0283, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9104, scimark_benchmark: 938.988, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.6873, kappa: 0.3632, kb_relative_information_score: 11.5758, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6881, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9374, scimark_benchmark: 935.5664, usercpu_time_millis: 2690, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.6747, kappa: 0.3377, kb_relative_information_score: 9.3092, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6783, predictive_accuracy: 0.68, prior_entropy: 0.99, recall: 0.68, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9558, scimark_benchmark: 939.8002, usercpu_time_millis: 1490, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.5996, kappa: 0.1868, kb_relative_information_score: 9.7789, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6044, predictive_accuracy: 0.61, prior_entropy: 0.99, recall: 0.61, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9564, scimark_benchmark: 941.589, usercpu_time_millis: 850, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.706, kappa: 0.4013, kb_relative_information_score: 11.0671, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7092, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9577, scimark_benchmark: 924.2305, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.537, kappa: 0.0574, kb_relative_information_score: 2.9953, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5357, predictive_accuracy: 0.54, prior_entropy: 0.99, recall: 0.54, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0316, scimark_benchmark: 938.3115, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7153, kappa: 0.4205, kb_relative_information_score: 43.1618, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7203, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0507, scimark_benchmark: 926.5859, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.6931, kappa: 0.376, kb_relative_information_score: 40.1728, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7009, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.0674, scimark_benchmark: 935.6052, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7357, kappa: 0.4619, kb_relative_information_score: 47.0441, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7413, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9771, scimark_benchmark: 894.7131, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7668, kappa: 0.5252, kb_relative_information_score: 49.2242, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7715, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8952, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7153, kappa: 0.4205, kb_relative_information_score: 41.0809, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7203, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.911, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.4021, kb_relative_information_score: -0.1765, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0011, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.756, kappa: 0.5033, kb_relative_information_score: 51.1169, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7622, predictive_accuracy: 0.76, prior_entropy: 0.99, recall: 0.76, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9549, scimark_benchmark: 926.5859, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7206, kappa: 0.4342, kb_relative_information_score: 45.851, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7383, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9819, scimark_benchmark: 935.6052, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7413, kappa: 0.4761, kb_relative_information_score: 48.2908, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7606, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9486, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.6839, kappa: 0.3568, kb_relative_information_score: 34.8394, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0325, scimark_benchmark: 940.0055, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7153, kappa: 0.4205, kb_relative_information_score: 36.3407, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7203, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.994, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7497, kappa: 0.4915, kb_relative_information_score: 47.8891, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7495, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9926, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.6896, kappa: 0.3694, kb_relative_information_score: 15.651, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6893, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9095, scimark_benchmark: 923.7471, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4458, f_measure: 0.5259, kappa: 0.0385, kb_relative_information_score: -2.1688, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5274, predictive_accuracy: 0.54, prior_entropy: 0.99, recall: 0.54, relative_absolute_error: 1.0147, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.0585, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7228, kappa: 0.437, kb_relative_information_score: 36.9843, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7345, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8985, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7169, kappa: 0.4234, kb_relative_information_score: 36.6542, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7191, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9049, scimark_benchmark: 926.4745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7706, kappa: 0.5367, kb_relative_information_score: 49.0983, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7726, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8918, scimark_benchmark: 935.8024, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5339, kappa: 0.0662, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5454, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 939.3886, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 39.7726, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8976, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7357, kappa: 0.4619, kb_relative_information_score: 25.731, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7413, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8469, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.5494, kappa: 0.0846, kb_relative_information_score: -0.1882, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5489, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.561, root_relative_squared_error: 1.1302, scimark_benchmark: 938.5476, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 949.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6991, kappa: 0.3883, kb_relative_information_score: 31.8921, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6989, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0396, scimark_benchmark: 946.6409, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 15.0283, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9104, scimark_benchmark: 928.8135, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7228, kappa: 0.437, kb_relative_information_score: 36.9843, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7345, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8985, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5339, kappa: 0.0662, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5454, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1340.2044, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5339, kappa: 0.0662, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5454, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1331.2559, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 39.7726, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8976, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7357, kappa: 0.4619, kb_relative_information_score: 25.731, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7413, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8469, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.5494, kappa: 0.0846, kb_relative_information_score: -0.1882, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5489, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.561, root_relative_squared_error: 1.1302, scimark_benchmark: 1332.7986, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6991, kappa: 0.3883, kb_relative_information_score: 31.8921, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6989, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0396, scimark_benchmark: 1322.3407, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 15.0283, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9104, scimark_benchmark: 1316.5396, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7228, kappa: 0.437, kb_relative_information_score: 36.9843, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7345, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8985, scimark_benchmark: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7706, kappa: 0.5367, kb_relative_information_score: 49.0983, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7726, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8918, scimark_benchmark: 1342.8584, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 39.7726, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8976, scimark_benchmark: 1325.4787, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1323.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7357, kappa: 0.4619, kb_relative_information_score: 25.731, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7413, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8469, scimark_benchmark: 1332.7986, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6991, kappa: 0.3883, kb_relative_information_score: 31.8921, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6989, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0396, scimark_benchmark: 1358.6198, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 15.0283, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9104, scimark_benchmark: 1342.2845, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7169, kappa: 0.4234, kb_relative_information_score: 36.6542, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7191, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9049, scimark_benchmark: 1350.1007, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7706, kappa: 0.5367, kb_relative_information_score: 49.0983, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7726, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8918, scimark_benchmark: 1352.9101, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5339, kappa: 0.0662, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5454, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1348.2804, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,

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