OpenML
Supervised Classification on glass

Supervised Classification on glass

Task 40 Supervised Classification glass 684 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: 0.9009, build_cpu_time: 0.0187, build_memory: 115227308.5234, f_measure: 0.7373, kappa: 0.6427, kb_relative_information_score: 137.6612, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7411, predictive_accuracy: 0.7383, prior_entropy: 2.2315, recall: 0.7383, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7181, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, build_cpu_time: 0.045, build_memory: 1324229032.8224, f_measure: 0.7473, kappa: 0.6621, kb_relative_information_score: 144.3892, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.752, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.7086, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 0.0535, build_memory: 807061835.1402, f_measure: 0.7474, kappa: 0.6621, kb_relative_information_score: 144.2542, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7527, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.7111, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 0.0312, build_memory: 71518553.0093, f_measure: 0.7474, kappa: 0.6621, kb_relative_information_score: 144.2542, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7527, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.7111, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 0.0371, build_memory: 486758715.6636, f_measure: 0.7474, kappa: 0.6621, kb_relative_information_score: 144.2542, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7527, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.7111, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, build_cpu_time: 0.0088, build_memory: 1066142334.8785, f_measure: 0.6726, kappa: 0.5538, kb_relative_information_score: 124.1985, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.674, predictive_accuracy: 0.6729, prior_entropy: 2.2315, recall: 0.6729, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.9422, scimark_benchmark: 941.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, build_cpu_time: 0.0046, build_memory: 2411472432.8224, f_measure: 0.6726, kappa: 0.5538, kb_relative_information_score: 124.1985, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.674, predictive_accuracy: 0.6729, prior_entropy: 2.2315, recall: 0.6729, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.9422, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, build_cpu_time: 0.0033, build_memory: 2433228964.486, f_measure: 0.6726, kappa: 0.5538, kb_relative_information_score: 124.1985, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.674, predictive_accuracy: 0.6729, prior_entropy: 2.2315, recall: 0.6729, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.9422, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, build_cpu_time: 0.0019, build_memory: 788618325.0093, f_measure: 0.6726, kappa: 0.5538, kb_relative_information_score: 124.1985, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.674, predictive_accuracy: 0.6729, prior_entropy: 2.2315, recall: 0.6729, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.9422, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, build_cpu_time: 0.0025, build_memory: 511549111.4019, f_measure: 0.6726, kappa: 0.5538, kb_relative_information_score: 124.1985, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.674, predictive_accuracy: 0.6729, prior_entropy: 2.2315, recall: 0.6729, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.9422, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.0698, build_memory: 1697827497.6449, f_measure: 0.7924, kappa: 0.7232, kb_relative_information_score: 136.0101, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.797, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.651, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.0701, build_memory: 1203522126.4673, f_measure: 0.7924, kappa: 0.7232, kb_relative_information_score: 136.0101, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.797, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.651, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.1008, build_memory: 1767527295.028, f_measure: 0.7924, kappa: 0.7232, kb_relative_information_score: 136.0101, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.797, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.651, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.1099, build_memory: 1716360539.5514, f_measure: 0.7924, kappa: 0.7232, kb_relative_information_score: 136.0101, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.797, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.651, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.1234, build_memory: 660236964.2991, f_measure: 0.7924, kappa: 0.7232, kb_relative_information_score: 136.0101, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.797, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.651, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, build_cpu_time: 0.0077, build_memory: 1211137104.7103, f_measure: 0.4964, kappa: 0.3401, kb_relative_information_score: 15.1787, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4669, predictive_accuracy: 0.5374, prior_entropy: 2.2315, recall: 0.5374, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0316, scimark_benchmark: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, build_cpu_time: 0.0051, build_memory: 1440592826.3178, f_measure: 0.4964, kappa: 0.3401, kb_relative_information_score: 15.1787, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4669, predictive_accuracy: 0.5374, prior_entropy: 2.2315, recall: 0.5374, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0316, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, build_cpu_time: 0.0028, build_memory: 396581355.514, f_measure: 0.4964, kappa: 0.3401, kb_relative_information_score: 15.1787, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4669, predictive_accuracy: 0.5374, prior_entropy: 2.2315, recall: 0.5374, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0316, scimark_benchmark: 909.5718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0117, build_memory: 1412540592, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, build_cpu_time: 0.1412, build_memory: 83811569.1215, f_measure: 0.2916, kappa: 0.2399, kb_relative_information_score: 68.3595, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.3848, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9047, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, build_cpu_time: 85.0211, build_memory: 72161044.4112, f_measure: 0.78, kappa: 0.7042, kb_relative_information_score: 149.6329, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7796, predictive_accuracy: 0.785, prior_entropy: 2.2315, recall: 0.785, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.762, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 40.7392, build_memory: 2432187766.5047, f_measure: 0.7709, kappa: 0.6913, kb_relative_information_score: 148.4402, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7716, predictive_accuracy: 0.7757, prior_entropy: 2.2315, recall: 0.7757, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.7741, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, build_cpu_time: 21.5995, build_memory: 775973514.1308, f_measure: 0.7417, kappa: 0.6521, kb_relative_information_score: 142.925, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7419, predictive_accuracy: 0.7477, prior_entropy: 2.2315, recall: 0.7477, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.8117, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, build_cpu_time: 10.5908, build_memory: 914539316.5981, f_measure: 0.7321, kappa: 0.6385, kb_relative_information_score: 139.0179, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7326, predictive_accuracy: 0.7383, prior_entropy: 2.2315, recall: 0.7383, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8213, scimark_benchmark: 930.5854,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, build_cpu_time: 0.3599, build_memory: 235721157.4206, f_measure: 0.7185, kappa: 0.6313, kb_relative_information_score: 135.5967, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7144, predictive_accuracy: 0.7336, prior_entropy: 2.2315, recall: 0.7336, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.7543, scimark_benchmark: 942.3919,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, build_cpu_time: 2.0336, build_memory: 882842410.0935, f_measure: 0.5416, kappa: 0.3932, kb_relative_information_score: 28.9403, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5832, predictive_accuracy: 0.5841, prior_entropy: 2.2315, recall: 0.5841, relative_absolute_error: 1.0107, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.9733, scimark_benchmark: 927.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, build_cpu_time: 4.0765, build_memory: 881575668.0748, f_measure: 0.5385, kappa: 0.3933, kb_relative_information_score: 28.9028, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5384, predictive_accuracy: 0.5841, prior_entropy: 2.2315, recall: 0.5841, relative_absolute_error: 1.0107, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.973, scimark_benchmark: 943.8078,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, build_cpu_time: 0.0599, build_memory: 1370811769.8692, f_measure: 0.7302, kappa: 0.6512, kb_relative_information_score: 123.5335, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7506, predictive_accuracy: 0.7477, prior_entropy: 2.2315, recall: 0.7477, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.229, root_relative_squared_error: 0.7058, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, build_cpu_time: 0.012, build_memory: 165068555.2523, f_measure: 0.7725, kappa: 0.696, kb_relative_information_score: 135.4943, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7763, predictive_accuracy: 0.7757, prior_entropy: 2.2315, recall: 0.7757, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.6917, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, build_cpu_time: 0.0265, build_memory: 349979575.6262, f_measure: 0.7695, kappa: 0.6937, kb_relative_information_score: 137.417, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7715, predictive_accuracy: 0.7757, prior_entropy: 2.2315, recall: 0.7757, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.6598, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, build_cpu_time: 0.0495, build_memory: 239543815.5514, f_measure: 0.7879, kappa: 0.7171, kb_relative_information_score: 135.9034, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7888, predictive_accuracy: 0.7944, prior_entropy: 2.2315, recall: 0.7944, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.6578, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, build_cpu_time: 0.0971, build_memory: 426133325.8318, f_measure: 0.7825, kappa: 0.7113, kb_relative_information_score: 136.5967, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7836, predictive_accuracy: 0.7897, prior_entropy: 2.2315, recall: 0.7897, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.6514, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, build_cpu_time: 0.0958, build_memory: 2643739376.1869, f_measure: 0.7825, kappa: 0.7113, kb_relative_information_score: 136.5967, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7836, predictive_accuracy: 0.7897, prior_entropy: 2.2315, recall: 0.7897, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.6514, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, build_cpu_time: 0.1671, build_memory: 291597843.7009, f_measure: 0.7654, kappa: 0.6852, kb_relative_information_score: 137.3177, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7706, predictive_accuracy: 0.771, prior_entropy: 2.2315, recall: 0.771, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.6445, scimark_benchmark: 945.3987,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, build_cpu_time: 5.1165, build_memory: 761014882.243, f_measure: 0.7928, kappa: 0.7235, kb_relative_information_score: 131.2332, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.803, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.6607, scimark_benchmark: 926.5836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, build_cpu_time: 5.091, build_memory: 746059023.9252, f_measure: 0.7928, kappa: 0.7235, kb_relative_information_score: 131.2332, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.803, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.6607, scimark_benchmark: 943.2017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, build_cpu_time: 2.2364, build_memory: 983655351.3645, f_measure: 0.7918, kappa: 0.7239, kb_relative_information_score: 130.8826, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.8011, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6618, scimark_benchmark: 928.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, build_cpu_time: 2.184, build_memory: 546739563.215, f_measure: 0.7918, kappa: 0.7239, kb_relative_information_score: 130.8826, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.8011, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6618, scimark_benchmark: 936.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, build_cpu_time: 1.1962, build_memory: 325527767.514, f_measure: 0.7896, kappa: 0.724, kb_relative_information_score: 131.0306, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.8, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.6611, scimark_benchmark: 923.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, build_cpu_time: 1.2274, build_memory: 1119884748.7103, f_measure: 0.7896, kappa: 0.724, kb_relative_information_score: 131.0306, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.8, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.6611, scimark_benchmark: 923.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, build_cpu_time: 1.1253, build_memory: 490805415.1028, f_measure: 0.7896, kappa: 0.724, kb_relative_information_score: 131.0306, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.8, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.6611, scimark_benchmark: 925.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, build_cpu_time: 0.547, build_memory: 628540386.6168, f_measure: 0.7792, kappa: 0.7157, kb_relative_information_score: 130.7383, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7891, predictive_accuracy: 0.7944, prior_entropy: 2.2315, recall: 0.7944, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6624, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, build_cpu_time: 0.5689, build_memory: 1878941170.0187, f_measure: 0.7792, kappa: 0.7157, kb_relative_information_score: 130.7383, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7891, predictive_accuracy: 0.7944, prior_entropy: 2.2315, recall: 0.7944, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6624, scimark_benchmark: 902.1764,

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