OpenML
Supervised Classification on segment

Supervised Classification on segment

Task 266 Supervised Classification segment 322 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.153, build_memory: 78840200, f_measure: 0.9537, kappa: 0.9464, kb_relative_information_score: 726.7556, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9545, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2814, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.171, build_memory: 1161306360, f_measure: 0.9537, kappa: 0.9464, kb_relative_information_score: 726.7556, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9545, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2814, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.256, build_memory: 788307704, f_measure: 0.9537, kappa: 0.9464, kb_relative_information_score: 726.7556, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9545, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2814, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.176, build_memory: 111577264, f_measure: 0.9537, kappa: 0.9464, kb_relative_information_score: 726.7556, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9545, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2814, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, build_cpu_time: 0.022, build_memory: 147920232, f_measure: 0.9501, kappa: 0.9418, kb_relative_information_score: 720.9897, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9509, predictive_accuracy: 0.9501, prior_entropy: 2.8074, recall: 0.9501, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3411, scimark_benchmark: 947.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, build_cpu_time: 0.019, build_memory: 2055185424, f_measure: 0.9501, kappa: 0.9418, kb_relative_information_score: 720.9897, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9509, predictive_accuracy: 0.9501, prior_entropy: 2.8074, recall: 0.9501, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3411, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, build_cpu_time: 0.012, build_memory: 2784891096, f_measure: 0.9501, kappa: 0.9418, kb_relative_information_score: 720.9897, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9509, predictive_accuracy: 0.9501, prior_entropy: 2.8074, recall: 0.9501, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3411, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, build_cpu_time: 0.011, build_memory: 1876553832, f_measure: 0.9501, kappa: 0.9418, kb_relative_information_score: 720.9897, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9509, predictive_accuracy: 0.9501, prior_entropy: 2.8074, recall: 0.9501, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3411, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, build_cpu_time: 0.016, build_memory: 653959824, f_measure: 0.9501, kappa: 0.9418, kb_relative_information_score: 720.9897, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9509, predictive_accuracy: 0.9501, prior_entropy: 2.8074, recall: 0.9501, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3411, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.668, build_memory: 2139888760, f_measure: 0.9671, kappa: 0.9617, kb_relative_information_score: 722.4457, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 2.8074, recall: 0.9672, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2425, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.93, build_memory: 1675337304, f_measure: 0.9671, kappa: 0.9617, kb_relative_information_score: 722.4457, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 2.8074, recall: 0.9672, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2425, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.933, build_memory: 748320456, f_measure: 0.9671, kappa: 0.9617, kb_relative_information_score: 722.4457, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 2.8074, recall: 0.9672, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2425, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.942, build_memory: 172000768, f_measure: 0.9671, kappa: 0.9617, kb_relative_information_score: 722.4457, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 2.8074, recall: 0.9672, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2425, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.681, build_memory: 978604856, f_measure: 0.9671, kappa: 0.9617, kb_relative_information_score: 722.4457, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 2.8074, recall: 0.9672, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2425, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, build_cpu_time: 1.351, build_memory: 78889592, f_measure: 0.8562, kappa: 0.833, kb_relative_information_score: 645.8335, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8561, predictive_accuracy: 0.857, prior_entropy: 2.8074, recall: 0.857, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.5484, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, build_cpu_time: 0.876, build_memory: 140639320, f_measure: 0.8428, kappa: 0.8177, kb_relative_information_score: 635.2724, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8426, predictive_accuracy: 0.8438, prior_entropy: 2.8074, recall: 0.8438, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.5509, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, build_cpu_time: 0.377, build_memory: 1133691768, f_measure: 0.8389, kappa: 0.8131, kb_relative_information_score: 621.8889, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8396, predictive_accuracy: 0.8399, prior_entropy: 2.8074, recall: 0.8399, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.5453, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, build_cpu_time: 0.17, build_memory: 460966240, f_measure: 0.8273, kappa: 0.8009, kb_relative_information_score: 589.072, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8284, predictive_accuracy: 0.8294, prior_entropy: 2.8074, recall: 0.8294, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.5432, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, build_cpu_time: 0.086, build_memory: 1480391368, f_measure: 0.7759, kappa: 0.7427, kb_relative_information_score: 496.3466, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.7764, predictive_accuracy: 0.7795, prior_entropy: 2.8074, recall: 0.7795, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.6312, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, build_cpu_time: 0.51, build_memory: 757764168, f_measure: 0.7899, kappa: 0.7774, kb_relative_information_score: 513.8674, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8236, predictive_accuracy: 0.8097, prior_entropy: 2.8074, recall: 0.8097, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.5876, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, build_cpu_time: 0.488, build_memory: 573783840, f_measure: 0.7899, kappa: 0.7774, kb_relative_information_score: 513.8674, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8236, predictive_accuracy: 0.8097, prior_entropy: 2.8074, recall: 0.8097, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.5876, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, build_cpu_time: 0.508, build_memory: 1526644232, f_measure: 0.7899, kappa: 0.7774, kb_relative_information_score: 513.8674, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8236, predictive_accuracy: 0.8097, prior_entropy: 2.8074, recall: 0.8097, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.5876, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, build_cpu_time: 0.546, build_memory: 691113992, f_measure: 0.7899, kappa: 0.7774, kb_relative_information_score: 513.8674, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8236, predictive_accuracy: 0.8097, prior_entropy: 2.8074, recall: 0.8097, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.5876, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, build_cpu_time: 0.526, build_memory: 619236376, f_measure: 0.7899, kappa: 0.7774, kb_relative_information_score: 513.8674, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8236, predictive_accuracy: 0.8097, prior_entropy: 2.8074, recall: 0.8097, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.5876, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 340.055, build_memory: 21292984, f_measure: 0.8664, kappa: 0.8453, kb_relative_information_score: 607.3246, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8668, predictive_accuracy: 0.8675, prior_entropy: 2.8074, recall: 0.8675, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.165, root_relative_squared_error: 0.4716, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 646.634, build_memory: 18379632, f_measure: 0.8966, kappa: 0.882, kb_relative_information_score: 655.0109, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8982, predictive_accuracy: 0.899, prior_entropy: 2.8074, recall: 0.899, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4117, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, build_cpu_time: 770.92, build_memory: 22130128, f_measure: 0.8978, kappa: 0.8836, kb_relative_information_score: 655.5044, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8995, predictive_accuracy: 0.9003, prior_entropy: 2.8074, recall: 0.9003, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4111, scimark_benchmark: 933.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, build_cpu_time: 727.017, build_memory: 399492720, f_measure: 0.8978, kappa: 0.8836, kb_relative_information_score: 655.5044, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8995, predictive_accuracy: 0.9003, prior_entropy: 2.8074, recall: 0.9003, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4111, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, build_cpu_time: 750.903, build_memory: 29916856, f_measure: 0.8978, kappa: 0.8836, kb_relative_information_score: 655.5044, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8995, predictive_accuracy: 0.9003, prior_entropy: 2.8074, recall: 0.9003, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4111, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 1355.194, build_memory: 77086456, f_measure: 0.9868, kappa: 0.9847, kb_relative_information_score: 751.2075, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9872, predictive_accuracy: 0.9869, prior_entropy: 2.8074, recall: 0.9869, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.175, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, build_cpu_time: 755.439, build_memory: 94458480, f_measure: 0.9869, kappa: 0.9847, kb_relative_information_score: 751.0809, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9872, predictive_accuracy: 0.9869, prior_entropy: 2.8074, recall: 0.9869, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.1734, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, build_cpu_time: 367.489, build_memory: 313106056, f_measure: 0.9829, kappa: 0.9801, kb_relative_information_score: 747.743, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 2.8074, recall: 0.9829, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1989, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 175.731, build_memory: 69522008, f_measure: 0.9777, kappa: 0.9739, kb_relative_information_score: 743.7545, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 2.8074, recall: 0.9777, relative_absolute_error: 0.0264, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2252, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 82.632, build_memory: 595117480, f_measure: 0.9803, kappa: 0.977, kb_relative_information_score: 745.4801, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9805, predictive_accuracy: 0.9803, prior_entropy: 2.8074, recall: 0.9803, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.2103, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 7.836, build_memory: 184648504, f_measure: 0.9713, kappa: 0.9663, kb_relative_information_score: 736.9645, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.972, predictive_accuracy: 0.9711, prior_entropy: 2.8074, recall: 0.9711, relative_absolute_error: 0.0436, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.2295, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 15.169, build_memory: 205917976, f_measure: 0.9763, kappa: 0.9724, kb_relative_information_score: 741.6397, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 2.8074, recall: 0.9764, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.2278, scimark_benchmark: 933.4498,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 0.521, build_memory: 212938816, f_measure: 0.6857, kappa: 0.651, kb_relative_information_score: 503.5155, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.7012, predictive_accuracy: 0.7008, prior_entropy: 2.8074, recall: 0.7008, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.6839, scimark_benchmark: 939.4327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, build_cpu_time: 0.855, build_memory: 947989496, f_measure: 0.7937, kappa: 0.779, kb_relative_information_score: 608.5046, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.8281, predictive_accuracy: 0.811, prior_entropy: 2.8074, recall: 0.811, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.6245, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 658.965, build_memory: 211295800, f_measure: 0.9676, kappa: 0.9617, kb_relative_information_score: 725.7943, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.9688, predictive_accuracy: 0.9672, prior_entropy: 2.8074, recall: 0.9672, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.2378, scimark_benchmark: 915.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 1316.524, build_memory: 1493382384, f_measure: 0.9664, kappa: 0.9601, kb_relative_information_score: 725.7183, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.2449, number_of_instances: 762, precision: 0.968, predictive_accuracy: 0.9659, prior_entropy: 2.8074, recall: 0.9659, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2387, scimark_benchmark: 941.326,

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