Task
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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174023 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, build_cpu_time: 0.2006, build_memory: 1484680874.3602, f_measure: 0.8312, kappa: 0.4536, kb_relative_information_score: 147.9295, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8299, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.843, scimark_benchmark: 940.1821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, build_cpu_time: 0.4856, build_memory: 362216186.1609, f_measure: 0.8229, kappa: 0.4269, kb_relative_information_score: 145.6014, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8208, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.8388, scimark_benchmark: 909.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, build_cpu_time: 0.7541, build_memory: 717781833.6552, f_measure: 0.8295, kappa: 0.4491, kb_relative_information_score: 146.125, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8278, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.8358, scimark_benchmark: 944.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, build_cpu_time: 1.4497, build_memory: 363774851.5402, f_measure: 0.8287, kappa: 0.4448, kb_relative_information_score: 147.4395, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8274, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.8363, scimark_benchmark: 944.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, build_cpu_time: 5.0087, build_memory: 1210704331.295, f_measure: 0.8249, kappa: 0.4266, kb_relative_information_score: 139.1281, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8266, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.839, scimark_benchmark: 944.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, build_cpu_time: 2.5854, build_memory: 1360944330.3908, f_measure: 0.8319, kappa: 0.4538, kb_relative_information_score: 138.5024, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8318, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.8401, scimark_benchmark: 945.8718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, build_cpu_time: 0.3461, build_memory: 144924848.6437, f_measure: 0.8156, kappa: 0.405, kb_relative_information_score: 200.173, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9879, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, build_cpu_time: 0.7168, build_memory: 83355716.5824, f_measure: 0.8272, kappa: 0.4445, kb_relative_information_score: 209.2299, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8244, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9737, scimark_benchmark: 941.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, build_cpu_time: 1.4176, build_memory: 659814139.8008, f_measure: 0.8169, kappa: 0.4042, kb_relative_information_score: 214.2923, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8152, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9754, scimark_benchmark: 943.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, build_cpu_time: 3.1808, build_memory: 1082358426.2222, f_measure: 0.8247, kappa: 0.4358, kb_relative_information_score: 214.9878, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8218, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9771, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, build_cpu_time: 7.1126, build_memory: 1365482440.8582, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 211.2837, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9843, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, build_cpu_time: 57.7076, build_memory: 77273207.2644, f_measure: 0.8254, kappa: 0.4358, kb_relative_information_score: 141.2436, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8233, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.8469, scimark_benchmark: 929.8087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, build_cpu_time: 28.0883, build_memory: 1875845828.8276, f_measure: 0.8254, kappa: 0.4358, kb_relative_information_score: 142.1539, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8233, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.8488, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, build_cpu_time: 12.9269, build_memory: 416281679.0498, f_measure: 0.8197, kappa: 0.4182, kb_relative_information_score: 141.4843, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8168, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8517, scimark_benchmark: 943.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, build_cpu_time: 8.5252, build_memory: 705466568, f_measure: 0.8245, kappa: 0.4314, kb_relative_information_score: 141.2465, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8228, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8517, scimark_benchmark: 1035.3076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, build_cpu_time: 3.1891, build_memory: 95321084.7969, f_measure: 0.8222, kappa: 0.427, kb_relative_information_score: 146.1918, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.8558, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, build_cpu_time: 0.0014, build_memory: 61902456.0613, f_measure: 0.8396, kappa: 0.5035, kb_relative_information_score: 119.0929, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8383, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8494, scimark_benchmark: 1228.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 0.5972, build_memory: 1953848805.7471, f_measure: 0.8143, kappa: 0.3891, kb_relative_information_score: 216.1091, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9451, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, build_cpu_time: 0.003, build_memory: 1346222630.9885, f_measure: 0.8285, kappa: 0.4606, kb_relative_information_score: 118.5731, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8255, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.849, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, build_cpu_time: 0.781, build_memory: 2107406339.4176, f_measure: 0.8213, kappa: 0.4126, kb_relative_information_score: 178.8283, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9013, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, build_cpu_time: 0.0101, build_memory: 744212300.9195, f_measure: 0.8338, kappa: 0.4806, kb_relative_information_score: 113.8862, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8314, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.8482, scimark_benchmark: 1306.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, build_cpu_time: 0.0156, build_memory: 128731282.636, f_measure: 0.8371, kappa: 0.4891, kb_relative_information_score: 118.19, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8345, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.8414, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.5462, build_memory: 704651951.4023, f_measure: 0.8188, kappa: 0.3967, kb_relative_information_score: 129.8466, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8321, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.349, root_relative_squared_error: 0.8644, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, build_cpu_time: 0.0245, build_memory: 1011845358.9732, f_measure: 0.8371, kappa: 0.4891, kb_relative_information_score: 117.5168, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8345, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8434, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, build_cpu_time: 343.1528, build_memory: 1916997272.0613, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 143.7281, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.8478, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, build_cpu_time: 150.4084, build_memory: 1547956057.272, f_measure: 0.8259, kappa: 0.4313, kb_relative_information_score: 146.2667, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8267, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.8469, scimark_benchmark: 911.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, build_cpu_time: 0.1214, build_memory: 188261826.2529, f_measure: 0.807, kappa: 0.3729, kb_relative_information_score: 140.0168, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8037, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8796, scimark_benchmark: 933.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, build_cpu_time: 0.1485, build_memory: 193847655.6322, f_measure: 0.807, kappa: 0.3729, kb_relative_information_score: 140.0168, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8037, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8796, scimark_benchmark: 938.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, build_cpu_time: 0.2639, build_memory: 994854536.3525, f_measure: 0.8179, kappa: 0.409, kb_relative_information_score: 211.6532, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8156, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.386, root_relative_squared_error: 0.9562, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, build_cpu_time: 0.2225, build_memory: 186871569.4406, f_measure: 0.8296, kappa: 0.4532, kb_relative_information_score: 130.9217, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8269, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.8499, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, build_cpu_time: 0.2114, build_memory: 360290538.2989, f_measure: 0.8296, kappa: 0.4532, kb_relative_information_score: 130.9217, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8269, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.8499, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, build_cpu_time: 0.1533, build_memory: 187437727.1418, f_measure: 0.8296, kappa: 0.4532, kb_relative_information_score: 130.9217, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8269, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.8499, scimark_benchmark: 943.0731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, build_cpu_time: 0.3256, build_memory: 128649845.364, f_measure: 0.7927, kappa: 0.3203, kb_relative_information_score: 173.7291, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7892, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.883, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, build_cpu_time: 0.2711, build_memory: 892897073.6858, f_measure: 0.7927, kappa: 0.3203, kb_relative_information_score: 173.7291, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7892, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.883, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, build_cpu_time: 0.3755, build_memory: 1357151838.1916, f_measure: 0.8096, kappa: 0.3821, kb_relative_information_score: 138.8916, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8063, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.8425, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, build_cpu_time: 0.4085, build_memory: 960106941.5019, f_measure: 0.8096, kappa: 0.3821, kb_relative_information_score: 138.8916, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8063, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.8425, scimark_benchmark: 943.2191,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, build_cpu_time: 0.0004, build_memory: 262751838.8046, f_measure: 0.8102, kappa: 0.4117, kb_relative_information_score: 151.1505, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8084, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4348, root_relative_squared_error: 1.0771, scimark_benchmark: 936.8525,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, build_cpu_time: 0.0175, build_memory: 985162374.1916, f_measure: 0.8151, kappa: 0.4102, kb_relative_information_score: 178.4904, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.811, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.8656, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 0.4932, build_memory: 1055677367.1111, f_measure: 0.7891, kappa: 0.3366, kb_relative_information_score: 139.5672, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7847, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.9705, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2722, build_cpu_time: 0.0255, build_memory: 255517602.6973, f_measure: 0.401, kappa: -0.2898, kb_relative_information_score: -707.0849, mean_absolute_error: 0.6609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.5216, predictive_accuracy: 0.3391, prior_entropy: 0.734, recall: 0.3391, relative_absolute_error: 2.0237, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.813, root_relative_squared_error: 2.0139, scimark_benchmark: 905.4188,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, build_cpu_time: 1.8896, build_memory: 800547384.2452, f_measure: 0.8143, kappa: 0.4195, kb_relative_information_score: 153.1016, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8114, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.0035, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, build_cpu_time: 0.3257, build_memory: 24447300.7356, f_measure: 0.8215, kappa: 0.4315, kb_relative_information_score: 155.8805, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8178, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.8617, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, build_cpu_time: 2.7187, build_memory: 88104105.2261, f_measure: 0.8102, kappa: 0.4117, kb_relative_information_score: 152.2168, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8084, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0791, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, build_cpu_time: 10.8371, build_memory: 375631657.977, f_measure: 0.8102, kappa: 0.4117, kb_relative_information_score: 152.0571, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8084, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0792, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.1, build_memory: 202614183.4176, f_measure: 0.8111, kappa: 0.4115, kb_relative_information_score: 152.8967, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8086, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9956, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.1046, build_memory: 1138606535.3717, f_measure: 0.8111, kappa: 0.4115, kb_relative_information_score: 152.8967, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8086, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9956, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.1701, build_memory: 1464046574.4828, f_measure: 0.8111, kappa: 0.4115, kb_relative_information_score: 152.8967, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8086, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9956, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.1116, build_memory: 1877536960.3065, f_measure: 0.8111, kappa: 0.4115, kb_relative_information_score: 152.8967, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8086, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9956, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.1072, build_memory: 245558921.7165, f_measure: 0.8111, kappa: 0.4115, kb_relative_information_score: 153.1888, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8086, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.9947, scimark_benchmark: 902.712,

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