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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 38 Supervised Classification ecoli 685 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • 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: 0.9331, build_cpu_time: 0.8325, build_memory: 1104400976.5952, f_measure: 0.853, kappa: 0.8023, kb_relative_information_score: 257.0859, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8502, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6205, scimark_benchmark: 924.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, build_cpu_time: 0.4114, build_memory: 1484884368.7619, 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: 892.0716,
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: 0.9677, build_cpu_time: 0.0012, build_memory: 250473624, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, build_cpu_time: 0.0959, build_memory: 740324396.4762, f_measure: 0.8554, kappa: 0.8096, kb_relative_information_score: 244.6217, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8501, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5502, scimark_benchmark: 844.3635,
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: 0.8603, 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: 0.497, 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: 0.943, 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: 0.95, 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: 0.9631, 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,
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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: 0.779, build_cpu_time: 0.0007, build_memory: 536875875.8095, f_measure: 0.6287, kappa: 0.5382, kb_relative_information_score: 164.5098, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6181, predictive_accuracy: 0.6786, prior_entropy: 2.2353, recall: 0.6786, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.9398, scimark_benchmark: 946.3269,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 0.0045, build_memory: 762385320, 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: 946.9694,
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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: 0.9672, kappa: 0.8062, kb_relative_information_score: 0.7292, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.1828, number_of_instances: 336, predictive_accuracy: 0.8601, prior_entropy: 2.1906, recall: 0.8601, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5581,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, build_cpu_time: 48.7784, build_memory: 996185027.7381, f_measure: 0.8786, kappa: 0.8394, kb_relative_information_score: 252.1304, mean_absolute_error: 0.052, 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: 0.2843, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5367, scimark_benchmark: 943.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, build_cpu_time: 1.3117, build_memory: 80733622.5, f_measure: 0.8415, kappa: 0.7881, kb_relative_information_score: 242.4696, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8383, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5627, scimark_benchmark: 946.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, build_cpu_time: 2.2365, build_memory: 311215233.2143, f_measure: 0.8441, kappa: 0.7922, kb_relative_information_score: 243.9019, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8413, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5566, scimark_benchmark: 946.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, build_cpu_time: 0.3859, build_memory: 111581425.4524, f_measure: 0.8597, kappa: 0.8143, kb_relative_information_score: 247.0298, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8543, predictive_accuracy: 0.8661, prior_entropy: 2.2353, recall: 0.8661, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5506, scimark_benchmark: 945.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, build_cpu_time: 0.3079, build_memory: 1882812846.7143, f_measure: 0.8573, kappa: 0.8104, kb_relative_information_score: 246.3961, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8522, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.5532, scimark_benchmark: 750.4926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, build_cpu_time: 0.1773, build_memory: 585088360.7619, f_measure: 0.8573, kappa: 0.8104, kb_relative_information_score: 246.3961, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8522, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.5532, scimark_benchmark: 942.3018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, build_cpu_time: 0.0894, build_memory: 3476480606.0238, f_measure: 0.8513, kappa: 0.8017, kb_relative_information_score: 246.0011, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.847, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.168, root_relative_squared_error: 0.557, scimark_benchmark: 945.5333,
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,
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: 0.8933, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 0.0028, build_memory: 199995652.9524, 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: 946.7871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.7935, kappa: 0.722, kb_relative_information_score: 225.5745, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7892, predictive_accuracy: 0.8006, prior_entropy: 2.2353, recall: 0.8006, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.6968, scimark_benchmark: 901.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8378, kappa: 0.7845, kb_relative_information_score: 237.4525, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8351, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.564, scimark_benchmark: 925.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8009, kappa: 0.7454, kb_relative_information_score: 189.9585, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8007, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6471, scimark_benchmark: 944.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8682, kappa: 0.8236, kb_relative_information_score: 258.7677, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8683, predictive_accuracy: 0.872, prior_entropy: 2.2353, recall: 0.872, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5378, scimark_benchmark: 909.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8306, kappa: 0.7724, kb_relative_information_score: 243.837, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8281, predictive_accuracy: 0.8363, prior_entropy: 2.2353, recall: 0.8363, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.5779, scimark_benchmark: 888.9273,
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: 899.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8498, kappa: 0.7979, kb_relative_information_score: 246.016, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8473, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5661, scimark_benchmark: 910.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8269, kappa: 0.7663, kb_relative_information_score: 251.0213, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8246, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8065, kappa: 0.7375, kb_relative_information_score: 241.2039, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8038, predictive_accuracy: 0.8095, prior_entropy: 2.2353, recall: 0.8095, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6193, scimark_benchmark: 946.7774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8296, kappa: 0.7691, kb_relative_information_score: 249.4235, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8275, predictive_accuracy: 0.8333, prior_entropy: 2.2353, recall: 0.8333, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6431, scimark_benchmark: 896.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8786, kappa: 0.8394, kb_relative_information_score: 252.2337, 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: 0.2841, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.5364, scimark_benchmark: 896.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.511, kappa: 0.448, kb_relative_information_score: 158.7746, mean_absolute_error: 0.1151, 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: 0.6294, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7741, scimark_benchmark: 943.4879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8483, kappa: 0.7978, kb_relative_information_score: 256.1045, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8444, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8416, kappa: 0.7855, kb_relative_information_score: 244.1469, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8386, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5639, scimark_benchmark: 942.1491,

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