Task
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4580 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4580 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9065, kappa: 0.86, kb_relative_information_score: 87.0012, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9082, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6969, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8723, kappa: 0.81, kb_relative_information_score: 86.9335, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8803, predictive_accuracy: 0.8733, prior_entropy: 1.585, recall: 0.8733, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6953, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8658, kappa: 0.8, kb_relative_information_score: 87.0456, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8719, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8576, kappa: 0.79, kb_relative_information_score: 87.3038, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.874, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.611, kappa: 0.54, kb_relative_information_score: 86.7474, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8403, predictive_accuracy: 0.6933, prior_entropy: 1.585, recall: 0.6933, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.7049, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.8998, mean_absolute_error: 0.0448, 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: 0.1008, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.2853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.9538, mean_absolute_error: 0.041, 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: 0.0922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2692, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3738, mean_absolute_error: 0.0397, 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: 0.0893, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.2648, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, 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: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.7553, mean_absolute_error: 0.0419, 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: 0.0943, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.271, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 136.3594, mean_absolute_error: 0.0475, 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: 0.1068, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.371, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 136.0186, mean_absolute_error: 0.0486, 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: 0.1092, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3809, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, 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: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 136.4313, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9542, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3691, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 136.1717, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9542, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3778, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.468, mean_absolute_error: 0.0387, 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: 0.087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3338, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.407, mean_absolute_error: 0.0391, 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: 0.088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3306, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.7701, mean_absolute_error: 0.0381, 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: 0.0858, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3239, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.1686, mean_absolute_error: 0.0399, 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: 0.0899, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3338, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.4388, mean_absolute_error: 0.0391, 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: 0.0879, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.323, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 136.0752, mean_absolute_error: 0.0517, 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: 0.1163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3247, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.9114, mean_absolute_error: 0.052, 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: 0.1169, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3302, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.8908, mean_absolute_error: 0.052, 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: 0.1169, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3308, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 136.5422, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3247, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9464, kappa: 0.92, kb_relative_information_score: 136.9459, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9465, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3252, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.4535, mean_absolute_error: 0.0363, 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: 0.0817, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.2856, mean_absolute_error: 0.0376, 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: 0.0846, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3123, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.0549, mean_absolute_error: 0.0381, 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: 0.0858, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3192, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.4435, mean_absolute_error: 0.0402, 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: 0.0905, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.8476, mean_absolute_error: 0.039, 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: 0.0876, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3184, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.5892, mean_absolute_error: 0.036, 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: 0.0811, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.323, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.2168, mean_absolute_error: 0.038, 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: 0.0854, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.327, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.4641, mean_absolute_error: 0.0367, 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: 0.0827, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3198, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.1756, mean_absolute_error: 0.0376, 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: 0.0847, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3294, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.2483, mean_absolute_error: 0.0372, 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: 0.0838, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3259, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.22, mean_absolute_error: 0.0377, 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: 0.0847, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3092, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.9984, mean_absolute_error: 0.0384, 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: 0.0865, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.3137, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.2041, mean_absolute_error: 0.0378, 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: 0.0851, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3079, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.2634, mean_absolute_error: 0.0378, 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: 0.0852, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3084, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.4921, mean_absolute_error: 0.0367, 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: 0.0826, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.306, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.5112, mean_absolute_error: 0.0366, 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: 0.0823, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3204, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.5894, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.32, scimark_benchmark: 1273.5018,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, 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: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, 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: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, 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: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.3873, mean_absolute_error: 0.0445, 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: 0.1002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4362, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9273, kappa: 0.89, kb_relative_information_score: 135.6212, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9288, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4534, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 137.6774, mean_absolute_error: 0.04, 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: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 137.6786, mean_absolute_error: 0.04, 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: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4004, mean_absolute_error: 0.0312, 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: 0.0702, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3741, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4353, mean_absolute_error: 0.031, 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: 0.0698, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3697, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0455, mean_absolute_error: 0.0356, 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: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3999, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.3271, mean_absolute_error: 0.0346, 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: 0.0779, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.3857, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.7859, mean_absolute_error: 0.0395, 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: 0.0889, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4193,

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