OpenML
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2125 Supervised Classification eucalyptus 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, build_cpu_time: 0.167, build_memory: 2633311048, f_measure: 0.5316, kappa: 0.4016, kb_relative_information_score: 99.0884, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5408, predictive_accuracy: 0.5372, prior_entropy: 2.2629, recall: 0.5372, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.8533, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, build_cpu_time: 0.247, build_memory: 1995495056, f_measure: 0.5316, kappa: 0.4016, kb_relative_information_score: 99.0884, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5408, predictive_accuracy: 0.5372, prior_entropy: 2.2629, recall: 0.5372, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.8533, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, build_cpu_time: 0.155, build_memory: 1314459496, f_measure: 0.5316, kappa: 0.4016, kb_relative_information_score: 99.0884, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5408, predictive_accuracy: 0.5372, prior_entropy: 2.2629, recall: 0.5372, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.8533, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, build_cpu_time: 0.249, build_memory: 1192459416, f_measure: 0.5316, kappa: 0.4016, kb_relative_information_score: 99.0884, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5408, predictive_accuracy: 0.5372, prior_entropy: 2.2629, recall: 0.5372, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.8533, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, build_cpu_time: 0.256, build_memory: 2699642032, f_measure: 0.5316, kappa: 0.4016, kb_relative_information_score: 99.0884, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5408, predictive_accuracy: 0.5372, prior_entropy: 2.2629, recall: 0.5372, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.8533, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, build_cpu_time: 0.008, build_memory: 257746424, f_measure: 0.5843, kappa: 0.4681, kb_relative_information_score: 27.2747, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6332, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.958, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, build_cpu_time: 0.006, build_memory: 369861928, f_measure: 0.5843, kappa: 0.4681, kb_relative_information_score: 27.2747, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6332, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.958, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, build_cpu_time: 0.009, build_memory: 507477416, f_measure: 0.5843, kappa: 0.4681, kb_relative_information_score: 27.2747, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6332, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.958, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, build_cpu_time: 0.006, build_memory: 1595910664, f_measure: 0.5843, kappa: 0.4681, kb_relative_information_score: 27.2747, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6332, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.958, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, build_cpu_time: 0.006, build_memory: 661052528, f_measure: 0.5843, kappa: 0.4681, kb_relative_information_score: 27.2747, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6332, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.958, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, build_cpu_time: 0.08, build_memory: 806997128, f_measure: 0.5956, kappa: 0.4764, kb_relative_information_score: 61.5081, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.63, predictive_accuracy: 0.5868, prior_entropy: 2.2629, recall: 0.5868, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.8977, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, build_cpu_time: 0.076, build_memory: 828218400, f_measure: 0.5956, kappa: 0.4764, kb_relative_information_score: 61.5081, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.63, predictive_accuracy: 0.5868, prior_entropy: 2.2629, recall: 0.5868, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.8977, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, build_cpu_time: 0.081, build_memory: 1751342336, f_measure: 0.5956, kappa: 0.4764, kb_relative_information_score: 61.5081, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.63, predictive_accuracy: 0.5868, prior_entropy: 2.2629, recall: 0.5868, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.8977, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, build_cpu_time: 0.129, build_memory: 1352875456, f_measure: 0.5956, kappa: 0.4764, kb_relative_information_score: 61.5081, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.63, predictive_accuracy: 0.5868, prior_entropy: 2.2629, recall: 0.5868, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.8977, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, build_cpu_time: 0.087, build_memory: 315660992, f_measure: 0.5956, kappa: 0.4764, kb_relative_information_score: 61.5081, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.63, predictive_accuracy: 0.5868, prior_entropy: 2.2629, recall: 0.5868, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.8977, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, build_cpu_time: 6.7, build_memory: 53794136, f_measure: 0.4108, kappa: 0.3473, kb_relative_information_score: 15.9548, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3565, predictive_accuracy: 0.5165, prior_entropy: 2.2629, recall: 0.5165, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9764, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, build_cpu_time: 6.323, build_memory: 781980856, f_measure: 0.4108, kappa: 0.3473, kb_relative_information_score: 15.9548, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3565, predictive_accuracy: 0.5165, prior_entropy: 2.2629, recall: 0.5165, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9764, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, build_cpu_time: 6.131, build_memory: 1325140856, f_measure: 0.4108, kappa: 0.3473, kb_relative_information_score: 15.9548, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3565, predictive_accuracy: 0.5165, prior_entropy: 2.2629, recall: 0.5165, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9764, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, build_cpu_time: 6.209, build_memory: 44452120, f_measure: 0.4108, kappa: 0.3473, kb_relative_information_score: 15.9548, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3565, predictive_accuracy: 0.5165, prior_entropy: 2.2629, recall: 0.5165, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9764, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, build_cpu_time: 6.196, build_memory: 2045872208, f_measure: 0.4108, kappa: 0.3473, kb_relative_information_score: 15.9548, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3565, predictive_accuracy: 0.5165, prior_entropy: 2.2629, recall: 0.5165, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9764, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, build_cpu_time: 824.515, build_memory: 249029592, f_measure: 0.6539, kappa: 0.5614, kb_relative_information_score: 142.8934, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6667, predictive_accuracy: 0.6612, prior_entropy: 2.2629, recall: 0.6612, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9239, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, build_cpu_time: 444.026, build_memory: 636981864, f_measure: 0.6479, kappa: 0.552, kb_relative_information_score: 141.7563, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.655, predictive_accuracy: 0.6529, prior_entropy: 2.2629, recall: 0.6529, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9309, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, build_cpu_time: 195.007, build_memory: 2206769784, f_measure: 0.6274, kappa: 0.5299, kb_relative_information_score: 137.5898, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6331, predictive_accuracy: 0.6364, prior_entropy: 2.2629, recall: 0.6364, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9446, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, build_cpu_time: 106.721, build_memory: 77750864, f_measure: 0.6379, kappa: 0.538, kb_relative_information_score: 138.9999, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6411, predictive_accuracy: 0.6405, prior_entropy: 2.2629, recall: 0.6405, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9362, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, build_cpu_time: 4.875, build_memory: 428989256, f_measure: 0.6144, kappa: 0.5071, kb_relative_information_score: 83.5903, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6305, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.8308, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, build_cpu_time: 4.357, build_memory: 1383766272, f_measure: 0.6144, kappa: 0.5071, kb_relative_information_score: 83.5903, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6305, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.8308, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, build_cpu_time: 4.623, build_memory: 686619792, f_measure: 0.6144, kappa: 0.5071, kb_relative_information_score: 83.5903, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6305, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.8308, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, build_cpu_time: 0.841, build_memory: 1181016880, f_measure: 0.6037, kappa: 0.5055, kb_relative_information_score: 121.4598, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6218, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8142, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, build_cpu_time: 0.561, build_memory: 94217272, f_measure: 0.6037, kappa: 0.5055, kb_relative_information_score: 121.4598, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6218, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8142, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, build_cpu_time: 0.55, build_memory: 147462192, f_measure: 0.6037, kappa: 0.5055, kb_relative_information_score: 121.4598, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6218, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8142, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, build_cpu_time: 0.839, build_memory: 2139065048, f_measure: 0.6037, kappa: 0.5055, kb_relative_information_score: 121.4598, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6218, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8142, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, build_cpu_time: 0.543, build_memory: 537264448, f_measure: 0.6037, kappa: 0.5055, kb_relative_information_score: 121.4598, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6218, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8142, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, build_cpu_time: 0.139, build_memory: 720676920, f_measure: 0.6538, kappa: 0.5633, kb_relative_information_score: 145.4473, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6565, predictive_accuracy: 0.6612, prior_entropy: 2.2629, recall: 0.6612, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.8699, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, build_cpu_time: 0.384, build_memory: 774572584, f_measure: 0.6509, kappa: 0.5528, kb_relative_information_score: 142.5522, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6557, predictive_accuracy: 0.6529, prior_entropy: 2.2629, recall: 0.6529, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9121, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, build_cpu_time: 0.873, build_memory: 1385091400, f_measure: 0.6539, kappa: 0.5574, kb_relative_information_score: 142.0039, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6635, predictive_accuracy: 0.657, prior_entropy: 2.2629, recall: 0.657, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.9259, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, build_cpu_time: 1.285, build_memory: 764522216, f_measure: 0.6451, kappa: 0.5468, kb_relative_information_score: 140.7855, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6496, predictive_accuracy: 0.6488, prior_entropy: 2.2629, recall: 0.6488, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9378, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, build_cpu_time: 1.971, build_memory: 129193192, f_measure: 0.6607, kappa: 0.5676, kb_relative_information_score: 144.7375, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6681, predictive_accuracy: 0.6653, prior_entropy: 2.2629, recall: 0.6653, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.92, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, build_cpu_time: 0.044, build_memory: 488034384, f_measure: 0.5968, kappa: 0.4814, kb_relative_information_score: 125.2648, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6465, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9364, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, build_cpu_time: 0.067, build_memory: 627761264, f_measure: 0.5968, kappa: 0.4814, kb_relative_information_score: 125.2648, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6465, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9364, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, build_cpu_time: 4.527, build_memory: 717676144, f_measure: 0.6773, kappa: 0.594, kb_relative_information_score: 134.735, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6968, predictive_accuracy: 0.686, prior_entropy: 2.2629, recall: 0.686, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.7361, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, build_cpu_time: 0.209, build_memory: 313856440, f_measure: 0.5968, kappa: 0.4814, kb_relative_information_score: 123.4761, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6465, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9098, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, build_cpu_time: 0.131, build_memory: 754340416, f_measure: 0.5968, kappa: 0.4814, kb_relative_information_score: 123.4761, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6465, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9098, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, build_cpu_time: 0.262, build_memory: 165651064, f_measure: 0.5968, kappa: 0.4814, kb_relative_information_score: 124.4406, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6465, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9161, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, build_cpu_time: 0.277, build_memory: 1604263792, f_measure: 0.5768, kappa: 0.4507, kb_relative_information_score: 118.9552, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6116, predictive_accuracy: 0.5661, prior_entropy: 2.2629, recall: 0.5661, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.893, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, build_cpu_time: 0.266, build_memory: 881369592, f_measure: 0.5768, kappa: 0.4507, kb_relative_information_score: 118.9552, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6116, predictive_accuracy: 0.5661, prior_entropy: 2.2629, recall: 0.5661, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.893, scimark_benchmark: 905.0866,

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