OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4581 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4581 Runs

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0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.996, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3251, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2885, scimark_benchmark: 1363.8301,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9735, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.5216, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3903,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9774, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.4234, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4133,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9771, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.5944, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, build_cpu_time: 0.0134, build_memory: 1582528576.8, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.8048, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3936, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, build_cpu_time: 0.0583, build_memory: 724816342.4, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6781, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.0284, build_memory: 1956866659.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.2226, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3245, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.0148, build_memory: 385927541.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.69, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3633, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, build_cpu_time: 0.0116, build_memory: 596240470.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.6255, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3397, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.0174, build_memory: 821270866.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.69, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3633, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.0151, build_memory: 905517104.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.69, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3633, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, build_cpu_time: 0.0026, build_memory: 1395466328, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.6355, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3754, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, build_cpu_time: 0.0304, build_memory: 335025860.8, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6766, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4239, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.0208, build_memory: 1252943846.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.2226, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3245, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, build_cpu_time: 0.0048, build_memory: 396191536, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.4028, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3572, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.9603, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4309, scimark_benchmark: 932.3943, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 81.6597, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6393, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 121.216, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3902, scimark_benchmark: 929.566, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 121.216, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3902, scimark_benchmark: 938.2848, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9337, kappa: 0.9, kb_relative_information_score: 135.3386, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9346, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4072, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9337, kappa: 0.9, kb_relative_information_score: 135.3386, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9346, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4072, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 13.093, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.3319, build_memory: 736296010.4, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 142.9015, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.288, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 87.6993, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6377, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 137.4091, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3436, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.7119, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3598, scimark_benchmark: 935.8834, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7855, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, scimark_benchmark: 940.2922, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.9903, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4308, scimark_benchmark: 1174.6686, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.4337, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3779, scimark_benchmark: 943.6956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 136.0991, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4287, scimark_benchmark: 943.2745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 87.6993, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6377, scimark_benchmark: 939.7623, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 137.4091, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3436, scimark_benchmark: 935.8986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 13.093, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.4337, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3779, scimark_benchmark: 929.0255, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 136.0991, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4287, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.7124, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4324, scimark_benchmark: 940.2751, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 3.5321, build_memory: 1580559072, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.877, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2714, scimark_benchmark: 943.6957,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, build_cpu_time: 0.015, build_memory: 4479888400, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 136.2367, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9419, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3762, scimark_benchmark: 897.8051,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, build_cpu_time: 0.0053, build_memory: 77016490.4, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.6355, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3754, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, build_cpu_time: 0.0035, build_memory: 117507690.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.4028, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3572, scimark_benchmark: 1611.5675,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, build_cpu_time: 0.0234, build_memory: 114653010.4, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6781, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.0262, build_memory: 117223041.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.2226, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3245, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.0134, build_memory: 114051636.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.2226, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3245, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.0128, build_memory: 103678770.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.2226, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3245, scimark_benchmark: 1611.5675,

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