OpenML
Supervised Classification on no2

Supervised Classification on no2

Task 3749 Supervised Classification no2 588 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: 0.5914, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 923.7642, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 894.7455, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.5885, kappa: 0.1796, kb_relative_information_score: 82.2665, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.591, predictive_accuracy: 0.59, prior_entropy: 1, recall: 0.59, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.0663, scimark_benchmark: 936.7115, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.5946, kappa: 0.1916, kb_relative_information_score: 80.0373, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.597, predictive_accuracy: 0.596, prior_entropy: 1, recall: 0.596, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5255, root_relative_squared_error: 1.051, scimark_benchmark: 936.7115, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.5831, kappa: 0.183, kb_relative_information_score: 75.6648, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5998, predictive_accuracy: 0.592, prior_entropy: 1, recall: 0.592, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0193, scimark_benchmark: 911.3823, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.5857, kappa: 0.191, kb_relative_information_score: 61.5538, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6058, predictive_accuracy: 0.596, prior_entropy: 1, recall: 0.596, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0309, scimark_benchmark: 922.9039, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5511, kappa: 0.1347, kb_relative_information_score: 43.5068, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.579, predictive_accuracy: 0.568, prior_entropy: 1, recall: 0.568, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0499, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.6238, kappa: 0.2479, kb_relative_information_score: 90.669, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6241, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 938.4285, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.6057, kappa: 0.2118, kb_relative_information_score: 77.0152, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6062, predictive_accuracy: 0.606, prior_entropy: 1, recall: 0.606, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 924.6116, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.596, kappa: 0.1919, kb_relative_information_score: 67.7055, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.596, predictive_accuracy: 0.596, prior_entropy: 1, recall: 0.596, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.493, root_relative_squared_error: 0.986, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.564, kappa: 0.1279, kb_relative_information_score: 54.1811, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.564, predictive_accuracy: 0.564, prior_entropy: 1, recall: 0.564, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9945, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.5836, kappa: 0.1678, kb_relative_information_score: 51.045, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5842, predictive_accuracy: 0.584, prior_entropy: 1, recall: 0.584, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9881, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3356, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.5045, kappa: 0.0779, kb_relative_information_score: 23.1135, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5536, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0127, scimark_benchmark: 943.2745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.5864, kappa: 0.1756, kb_relative_information_score: 56.0381, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5891, predictive_accuracy: 0.588, prior_entropy: 1, recall: 0.588, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9876, scimark_benchmark: 943.6956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.634, kappa: 0.2716, kb_relative_information_score: 101.4491, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6387, predictive_accuracy: 0.636, prior_entropy: 1, recall: 0.636, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9801, scimark_benchmark: 933.8635, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3356, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.593, kappa: 0.1914, kb_relative_information_score: 46.9297, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5985, predictive_accuracy: 0.596, prior_entropy: 1, recall: 0.596, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9737, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3356, kb_relative_information_score: 1.9886, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7057, root_relative_squared_error: 1.4114, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5946, kappa: 0.1954, kb_relative_information_score: 49.6132, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.601, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525, scimark_benchmark: 904.3001, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.5938, kappa: 0.1915, kb_relative_information_score: 12.2686, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5978, predictive_accuracy: 0.596, prior_entropy: 1, recall: 0.596, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9845, scimark_benchmark: 933.8635, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.5465, kappa: 0.1032, kb_relative_information_score: 14.5256, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5541, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9893, scimark_benchmark: 917.7039, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.5503, kappa: 0.1036, kb_relative_information_score: 51.9897, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5525, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.3387, scimark_benchmark: 947.0793, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.5945, kappa: 0.2031, kb_relative_information_score: 45.9783, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6095, predictive_accuracy: 0.602, prior_entropy: 1, recall: 0.602, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.5716, kappa: 0.1438, kb_relative_information_score: 74.3431, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5721, predictive_accuracy: 0.572, prior_entropy: 1, recall: 0.572, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5525, root_relative_squared_error: 1.105, scimark_benchmark: 932.236, usercpu_time_millis: 850, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.5929, kappa: 0.1877, kb_relative_information_score: 50.4833, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0295, scimark_benchmark: 935.8834, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.5929, kappa: 0.1877, kb_relative_information_score: 50.4833, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0295, scimark_benchmark: 915.2795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.6239, kappa: 0.2479, kb_relative_information_score: 106.2886, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6241, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1483, scimark_benchmark: 938.4285, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3548, kappa: -0.0038, kb_relative_information_score: 1.7988, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4814, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.688, root_relative_squared_error: 1.3759, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.6079, kappa: 0.2159, kb_relative_information_score: 94.4494, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.608, predictive_accuracy: 0.608, prior_entropy: 1, recall: 0.608, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.0259, scimark_benchmark: 935.8986, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.6084, kappa: 0.2507, kb_relative_information_score: 48.1143, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6523, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9657, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.515, f_measure: 0.4803, kappa: 0.03, kb_relative_information_score: 15.9889, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5206, predictive_accuracy: 0.516, prior_entropy: 1, recall: 0.516, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.3914, scimark_benchmark: 935.8986, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.5683, kappa: 0.1529, kb_relative_information_score: 75.9902, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5826, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3023, scimark_benchmark: 939.0833, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, build_cpu_time: 0.1349, build_memory: 1314181044, f_measure: 0.5637, kappa: 0.1325, kb_relative_information_score: 29.7526, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5677, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9803, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, build_cpu_time: 0.1272, build_memory: 1046370083.2, f_measure: 0.5637, kappa: 0.1325, kb_relative_information_score: 29.7526, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5677, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9803, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, build_cpu_time: 0.129, build_memory: 930366941.6, f_measure: 0.5637, kappa: 0.1325, kb_relative_information_score: 29.7523, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5677, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9802, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, build_cpu_time: 0.1065, build_memory: 756532841.6, f_measure: 0.5771, kappa: 0.1647, kb_relative_information_score: 27.503, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5865, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9813, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, build_cpu_time: 0.0501, build_memory: 1084484905.6, f_measure: 0.599, kappa: 0.2003, kb_relative_information_score: 105.867, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6013, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.0642, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, build_cpu_time: 0.0871, build_memory: 879820788.8, f_measure: 0.5978, kappa: 0.1961, kb_relative_information_score: 97.748, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5983, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5607, root_relative_squared_error: 1.1215, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, build_cpu_time: 0.1811, build_memory: 265102915.2, f_measure: 0.592, kappa: 0.1841, kb_relative_information_score: 94.9495, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5921, predictive_accuracy: 0.592, prior_entropy: 1, recall: 0.592, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.1614, scimark_benchmark: 918.7639,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, build_cpu_time: 0.0965, build_memory: 722118586.4, f_measure: 0.612, kappa: 0.224, kb_relative_information_score: 76.9079, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.612, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, build_cpu_time: 0.0145, build_memory: 354387274.4, f_measure: 0.5929, kappa: 0.1877, kb_relative_information_score: 50.4833, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0295, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, build_cpu_time: 0.0117, build_memory: 939809017.6, f_measure: 0.5929, kappa: 0.1877, kb_relative_information_score: 50.4833, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0295, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, build_cpu_time: 0.0207, build_memory: 2025302133.6, f_measure: 0.5929, kappa: 0.1877, kb_relative_information_score: 50.4833, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0295, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, build_cpu_time: 0.02, build_memory: 184573666.4, f_measure: 0.5929, kappa: 0.1877, kb_relative_information_score: 50.4833, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0295, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, build_cpu_time: 0.0153, build_memory: 889165529.6, f_measure: 0.5929, kappa: 0.1877, kb_relative_information_score: 50.4833, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0295, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, build_cpu_time: 0.0305, build_memory: 367231783.2, f_measure: 0.5578, kappa: 0.1159, kb_relative_information_score: 57.8045, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.558, predictive_accuracy: 0.558, prior_entropy: 1, recall: 0.558, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6634, root_relative_squared_error: 1.3267, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, build_cpu_time: 0.1678, build_memory: 351959469.6, f_measure: 0.6017, kappa: 0.2038, kb_relative_information_score: 62.464, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6022, predictive_accuracy: 0.602, prior_entropy: 1, recall: 0.602, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, build_cpu_time: 2.4385, build_memory: 1174630565.6, f_measure: 0.626, kappa: 0.252, kb_relative_information_score: 128.1516, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.626, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6003, root_relative_squared_error: 1.2006, scimark_benchmark: 923.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, build_cpu_time: 1.2755, build_memory: 992608150.4, f_measure: 0.624, kappa: 0.248, kb_relative_information_score: 126.2559, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.624, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5945, root_relative_squared_error: 1.1889, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, build_cpu_time: 0.3154, build_memory: 255059910.4, f_measure: 0.6239, kappa: 0.2479, kb_relative_information_score: 106.2886, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6241, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1483, scimark_benchmark: 938.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, build_cpu_time: 0.0713, build_memory: 776648087.2, f_measure: 0.3548, kappa: -0.0038, kb_relative_information_score: 1.7988, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.4814, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.688, root_relative_squared_error: 1.3759, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, build_cpu_time: 0.2919, build_memory: 1997448823.2, f_measure: 0.6079, kappa: 0.2159, kb_relative_information_score: 94.4494, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.608, predictive_accuracy: 0.608, prior_entropy: 1, recall: 0.608, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.0259, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, build_cpu_time: 0.002, build_memory: 310196648, f_measure: 0.6084, kappa: 0.2507, kb_relative_information_score: 48.1143, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6523, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9657, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, build_cpu_time: 0.1439, build_memory: 1504917211.2, f_measure: 0.6395, kappa: 0.2798, kb_relative_information_score: 87.9023, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6406, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9308, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, build_cpu_time: 0.0228, build_memory: 1477563267.2, f_measure: 0.594, kappa: 0.1879, kb_relative_information_score: 46.362, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.594, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9883, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, build_cpu_time: 0.0001, build_memory: 138252148, f_measure: 0.5578, kappa: 0.1159, kb_relative_information_score: 57.8045, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.558, predictive_accuracy: 0.558, prior_entropy: 1, recall: 0.558, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6634, root_relative_squared_error: 1.3267, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.515, build_cpu_time: 0.0808, build_memory: 1065773754.4, f_measure: 0.4803, kappa: 0.03, kb_relative_information_score: 15.9889, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5206, predictive_accuracy: 0.516, prior_entropy: 1, recall: 0.516, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.3914, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, build_cpu_time: 0.0102, build_memory: 828932516.8, f_measure: 0.565, kappa: 0.149, kb_relative_information_score: 73.9902, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5814, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3054, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, build_cpu_time: 0.034, build_memory: 350261356.8, f_measure: 0.5683, kappa: 0.1529, kb_relative_information_score: 75.9902, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5826, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3023, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, build_cpu_time: 0.008, build_memory: 31072991.2, f_measure: 0.5734, kappa: 0.1482, kb_relative_information_score: 30.2922, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5746, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9805, scimark_benchmark: 942.9216,

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