Task
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 38 Supervised Classification ecoli 685 runs submitted
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  • basic study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, build_cpu_time: 0.0068, build_memory: 1676839129.2381, f_measure: 0.6489, kappa: 0.5506, kb_relative_information_score: 48.1983, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6352, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.276, root_relative_squared_error: 0.915, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, build_cpu_time: 0.0128, build_memory: 1579783406.2619, f_measure: 0.6489, kappa: 0.5506, kb_relative_information_score: 48.1983, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6352, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.276, root_relative_squared_error: 0.915, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, build_cpu_time: 2.0644, build_memory: 2008175716.9524, f_measure: 0.8424, kappa: 0.7902, kb_relative_information_score: 245.2316, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8376, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.619, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, build_cpu_time: 0.0372, build_memory: 667493636.0476, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 203.5059, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.616, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, build_cpu_time: 0.0359, build_memory: 854666389.4286, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 203.5059, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.616, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, build_cpu_time: 0.0595, build_memory: 367802365.4048, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 203.5059, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.616, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, build_cpu_time: 0.0359, build_memory: 1216833227.2381, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 203.5059, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.616, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, build_cpu_time: 0.0065, build_memory: 690359903.0476, f_measure: 0.6489, kappa: 0.5506, kb_relative_information_score: 48.1983, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6352, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.276, root_relative_squared_error: 0.915, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, build_cpu_time: 0.0072, build_memory: 1298006568, f_measure: 0.6489, kappa: 0.5506, kb_relative_information_score: 48.1983, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6352, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.276, root_relative_squared_error: 0.915, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, build_cpu_time: 4.4125, build_memory: 940285605.3333, f_measure: 0.8482, kappa: 0.7982, kb_relative_information_score: 247.6718, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8433, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6059, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, build_cpu_time: 0.009, build_memory: 1110390806, f_measure: 0.6489, kappa: 0.5506, kb_relative_information_score: 48.1983, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6352, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.276, root_relative_squared_error: 0.915, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8509, kappa: 0.8021, kb_relative_information_score: 258.9136, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8491, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6227, scimark_benchmark: 876.8277, usercpu_time_millis: 520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8537, kappa: 0.8051, kb_relative_information_score: 247.8586, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8496, predictive_accuracy: 0.8601, prior_entropy: 2.2353, recall: 0.8601, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5452, scimark_benchmark: 929.566, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8358, kappa: 0.7835, kb_relative_information_score: 241.4111, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8333, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5612, scimark_benchmark: 918.4924, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, kb_relative_information_score: 58.5877, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.2564, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, build_cpu_time: 0.4441, build_memory: 682398699.2619, f_measure: 0.8477, kappa: 0.8009, kb_relative_information_score: 206.7121, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8495, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5909, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.801, kappa: 0.7314, kb_relative_information_score: 242.1624, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8018, predictive_accuracy: 0.8065, prior_entropy: 2.2353, recall: 0.8065, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.5827, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8441, kappa: 0.7902, kb_relative_information_score: 256.415, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8405, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6076, scimark_benchmark: 948.1045, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.841, kappa: 0.786, kb_relative_information_score: 252.9121, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8378, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.6373, scimark_benchmark: 923.3111, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8447, kappa: 0.7902, kb_relative_information_score: 256.2785, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8431, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6424, scimark_benchmark: 1112.8112, usercpu_time_millis: 1070, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.2541, kb_relative_information_score: 0.1892, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.2541, kb_relative_information_score: -0.5249, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.027, scimark_benchmark: 788.8917, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8331, kappa: 0.7764, kb_relative_information_score: 239.8339, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8306, predictive_accuracy: 0.8393, prior_entropy: 2.2353, recall: 0.8393, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5786, scimark_benchmark: 929.0255, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8151, kappa: 0.7579, kb_relative_information_score: 243.6034, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8112, predictive_accuracy: 0.8274, prior_entropy: 2.2353, recall: 0.8274, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5907, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, build_cpu_time: 14.2345, build_memory: 73540405, f_measure: 0.867, kappa: 0.8231, kb_relative_information_score: 252.5913, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8641, predictive_accuracy: 0.872, prior_entropy: 2.2353, recall: 0.872, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5366, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, build_cpu_time: 25.9303, build_memory: 3347559930.9762, f_measure: 0.8786, kappa: 0.8394, kb_relative_information_score: 252.2893, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8743, predictive_accuracy: 0.8839, prior_entropy: 2.2353, recall: 0.8839, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.5362, scimark_benchmark: 945.8425,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 0.0041, build_memory: 139830934.0952, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 232.5435, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6583, scimark_benchmark: 933.33,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 0.0067, build_memory: 39275770.3333, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 232.5435, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6583, scimark_benchmark: 946.1513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, build_cpu_time: 0.0653, build_memory: 400495263.1429, f_measure: 0.8574, kappa: 0.8099, kb_relative_information_score: 245.7281, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8525, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5581, scimark_benchmark: 945.6104,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.846, kappa: 0.7938, kb_relative_information_score: 253.6242, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8421, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6401, scimark_benchmark: 926.024,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, build_cpu_time: 0.0008, build_memory: 86644020.2857, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 260.0853, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5458, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, build_cpu_time: 0.0011, build_memory: 257004496.9286, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 260.0853, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5458, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, build_cpu_time: 0.0009, build_memory: 216970974.619, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 260.0853, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5458, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, build_cpu_time: 0.1342, build_memory: 382367561.9048, f_measure: 0.2541, kb_relative_information_score: -0.5249, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.027, scimark_benchmark: 939.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, build_cpu_time: 0.0973, build_memory: 267282961.4048, f_measure: 0.8487, kappa: 0.7988, kb_relative_information_score: 252.2239, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8438, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.5559, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, build_cpu_time: 0.1149, build_memory: 561753124.1905, f_measure: 0.8029, kappa: 0.7617, kb_relative_information_score: 42.9956, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8169, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 1.0383, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9784, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, build_cpu_time: 0.0003, build_memory: 282137527.8571, f_measure: 0.7954, kappa: 0.7216, kb_relative_information_score: 231.0104, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7939, predictive_accuracy: 0.7976, prior_entropy: 2.2353, recall: 0.7976, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7366, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, build_cpu_time: 0.0286, build_memory: 1329975350, f_measure: 0.8088, kappa: 0.7433, kb_relative_information_score: 226.8283, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8038, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.198, root_relative_squared_error: 0.6563, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, build_cpu_time: 0.003, build_memory: 150731001.1905, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, build_cpu_time: 0.0038, build_memory: 110870308.381, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, build_cpu_time: 0.2134, build_memory: 1446821625.7143, f_measure: 0.8441, kappa: 0.7902, kb_relative_information_score: 256.415, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8405, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6076, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8317, kappa: 0.7728, kb_relative_information_score: 242.4576, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8304, predictive_accuracy: 0.8363, prior_entropy: 2.2353, recall: 0.8363, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6193, scimark_benchmark: 928.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.6256, kappa: 0.538, kb_relative_information_score: 168.093, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6286, predictive_accuracy: 0.6786, prior_entropy: 2.2353, recall: 0.6786, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.823, scimark_benchmark: 946.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7954, kappa: 0.7216, kb_relative_information_score: 231.0104, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7939, predictive_accuracy: 0.7976, prior_entropy: 2.2353, recall: 0.7976, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7366, scimark_benchmark: 926.2303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8458, kappa: 0.7946, kb_relative_information_score: 249.896, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.841, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5614, scimark_benchmark: 927.7173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8115, kappa: 0.7495, kb_relative_information_score: 247.749, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8111, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5798, scimark_benchmark: 932.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8651, kappa: 0.8194, kb_relative_information_score: 258.4319, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8645, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.5389, scimark_benchmark: 916.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.6218, kappa: 0.5307, kb_relative_information_score: 165.0926, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.618, predictive_accuracy: 0.6726, prior_entropy: 2.2353, recall: 0.6726, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.8313, scimark_benchmark: 982.9244,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs